зеркало из https://github.com/microsoft/FLAML.git
1965 строки
219 KiB
Plaintext
1965 строки
219 KiB
Plaintext
{
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"cells": [
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"Copyright (c) Microsoft Corporation. All rights reserved. \n",
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"\n",
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"Licensed under the MIT License.\n",
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"\n",
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"# Tune XGBoost with FLAML Library\n",
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"\n",
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"\n",
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"## 1. Introduction\n",
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"\n",
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"FLAML is a Python library (https://github.com/microsoft/FLAML) designed to automatically produce accurate machine learning models \n",
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"with low computational cost. It is fast and economical. The simple and lightweight design makes it easy \n",
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"to use and extend, such as adding new learners. FLAML can \n",
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"- serve as an economical AutoML engine,\n",
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"- be used as a fast hyperparameter tuning tool, or \n",
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"- be embedded in self-tuning software that requires low latency & resource in repetitive\n",
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" tuning tasks.\n",
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"\n",
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"In this notebook, we demonstrate how to use FLAML library to tune hyperparameters of XGBoost with a regression example.\n",
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"\n",
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"FLAML requires `Python>=3.8`. To run this notebook example, please install flaml with the `automl` option (this option is introduced from version 2, for version 1 it is installed by default):\n",
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"```bash\n",
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"pip install flaml[automl]\n",
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"```"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install flaml[automl] matplotlib openml"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"## 2. Regression Example\n",
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"### Load data and preprocess\n",
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"\n",
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"Download [houses dataset](https://www.openml.org/d/537) from OpenML. The task is to predict median price of the house in the region based on demographic composition and a state of housing market in the region."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"slideshow": {
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"slide_type": "subslide"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/root/.local/lib/python3.9/site-packages/xgboost/compat.py:31: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"load dataset from ./openml_ds537.pkl\n",
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"Dataset name: houses\n",
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"X_train.shape: (15480, 8), y_train.shape: (15480,);\n",
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"X_test.shape: (5160, 8), y_test.shape: (5160,)\n"
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]
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}
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],
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"source": [
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"from flaml.automl.data import load_openml_dataset\n",
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"X_train, X_test, y_train, y_test = load_openml_dataset(dataset_id=537, data_dir='./')"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"### Run FLAML\n",
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"In the FLAML automl run configuration, users can specify the task type, time budget, error metric, learner list, whether to subsample, resampling strategy type, and so on. All these arguments have default values which will be used if users do not provide them. "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"outputs": [],
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"source": [
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"''' import AutoML class from flaml package '''\n",
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"from flaml import AutoML\n",
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"automl = AutoML()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"outputs": [],
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"source": [
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"settings = {\n",
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" \"time_budget\": 120, # total running time in seconds\n",
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" \"metric\": 'r2', # primary metrics for regression can be chosen from: ['mae','mse','r2','rmse','mape']\n",
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" \"estimator_list\": ['xgboost'], # list of ML learners; we tune xgboost in this example\n",
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" \"task\": 'regression', # task type \n",
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" \"log_file_name\": 'houses_experiment.log', # flaml log file\n",
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"}"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"[flaml.automl: 07-01 15:43:46] {2427} INFO - task = regression\n",
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"[flaml.automl: 07-01 15:43:46] {2429} INFO - Data split method: uniform\n",
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"[flaml.automl: 07-01 15:43:46] {2432} INFO - Evaluation method: cv\n",
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"[flaml.automl: 07-01 15:43:46] {2501} INFO - Minimizing error metric: 1-r2\n",
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"[flaml.automl: 07-01 15:43:46] {2641} INFO - List of ML learners in AutoML Run: ['xgboost']\n",
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"[flaml.automl: 07-01 15:43:46] {2933} INFO - iteration 0, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:43:46] {3061} INFO - Estimated sufficient time budget=1683s. Estimated necessary time budget=2s.\n",
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"[flaml.automl: 07-01 15:43:46] {3108} INFO - at 0.2s,\testimator xgboost's best error=2.1267,\tbest estimator xgboost's best error=2.1267\n",
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"[flaml.automl: 07-01 15:43:46] {2933} INFO - iteration 1, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:43:46] {3108} INFO - at 0.4s,\testimator xgboost's best error=2.1267,\tbest estimator xgboost's best error=2.1267\n",
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"[flaml.automl: 07-01 15:43:46] {2933} INFO - iteration 2, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:43:46] {3108} INFO - at 0.7s,\testimator xgboost's best error=0.8485,\tbest estimator xgboost's best error=0.8485\n",
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"[flaml.automl: 07-01 15:43:46] {2933} INFO - iteration 3, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:43:47] {3108} INFO - at 1.1s,\testimator xgboost's best error=0.3799,\tbest estimator xgboost's best error=0.3799\n",
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"[flaml.automl: 07-01 15:43:47] {2933} INFO - iteration 4, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:43:47] {3108} INFO - at 1.2s,\testimator xgboost's best error=0.3799,\tbest estimator xgboost's best error=0.3799\n",
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"[flaml.automl: 07-01 15:43:47] {2933} INFO - iteration 5, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:43:47] {3108} INFO - at 1.4s,\testimator xgboost's best error=0.3799,\tbest estimator xgboost's best error=0.3799\n",
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"[flaml.automl: 07-01 15:43:47] {2933} INFO - iteration 6, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:43:48] {2933} INFO - iteration 7, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:43:48] {2933} INFO - iteration 8, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:43:48] {3108} INFO - at 2.4s,\testimator xgboost's best error=0.2992,\tbest estimator xgboost's best error=0.2992\n",
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"[flaml.automl: 07-01 15:43:48] {2933} INFO - iteration 9, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:43:48] {3108} INFO - at 2.7s,\testimator xgboost's best error=0.2513,\tbest estimator xgboost's best error=0.2513\n",
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"[flaml.automl: 07-01 15:43:48] {2933} INFO - iteration 10, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:43:49] {3108} INFO - at 3.0s,\testimator xgboost's best error=0.2513,\tbest estimator xgboost's best error=0.2513\n",
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"[flaml.automl: 07-01 15:43:49] {2933} INFO - iteration 11, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:43:49] {3108} INFO - at 3.4s,\testimator xgboost's best error=0.2513,\tbest estimator xgboost's best error=0.2513\n",
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"[flaml.automl: 07-01 15:43:49] {2933} INFO - iteration 12, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:43:50] {3108} INFO - at 4.0s,\testimator xgboost's best error=0.2113,\tbest estimator xgboost's best error=0.2113\n",
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"[flaml.automl: 07-01 15:43:50] {2933} INFO - iteration 13, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:43:50] {3108} INFO - at 4.4s,\testimator xgboost's best error=0.2113,\tbest estimator xgboost's best error=0.2113\n",
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"[flaml.automl: 07-01 15:43:50] {2933} INFO - iteration 14, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:43:51] {3108} INFO - at 5.1s,\testimator xgboost's best error=0.2090,\tbest estimator xgboost's best error=0.2090\n",
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"[flaml.automl: 07-01 15:43:51] {2933} INFO - iteration 15, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:43:51] {3108} INFO - at 5.6s,\testimator xgboost's best error=0.2090,\tbest estimator xgboost's best error=0.2090\n",
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"[flaml.automl: 07-01 15:43:51] {2933} INFO - iteration 16, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:43:53] {3108} INFO - at 6.9s,\testimator xgboost's best error=0.1919,\tbest estimator xgboost's best error=0.1919\n",
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"[flaml.automl: 07-01 15:43:53] {2933} INFO - iteration 17, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:43:53] {3108} INFO - at 7.4s,\testimator xgboost's best error=0.1919,\tbest estimator xgboost's best error=0.1919\n",
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"[flaml.automl: 07-01 15:43:53] {2933} INFO - iteration 18, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:43:57] {3108} INFO - at 11.1s,\testimator xgboost's best error=0.1797,\tbest estimator xgboost's best error=0.1797\n",
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"[flaml.automl: 07-01 15:43:57] {2933} INFO - iteration 19, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:43:58] {3108} INFO - at 12.4s,\testimator xgboost's best error=0.1797,\tbest estimator xgboost's best error=0.1797\n",
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"[flaml.automl: 07-01 15:43:58] {2933} INFO - iteration 20, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:44:17] {3108} INFO - at 31.4s,\testimator xgboost's best error=0.1797,\tbest estimator xgboost's best error=0.1797\n",
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"[flaml.automl: 07-01 15:44:17] {2933} INFO - iteration 21, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:44:20] {3108} INFO - at 34.0s,\testimator xgboost's best error=0.1797,\tbest estimator xgboost's best error=0.1797\n",
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"[flaml.automl: 07-01 15:44:20] {2933} INFO - iteration 22, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:44:25] {3108} INFO - at 39.6s,\testimator xgboost's best error=0.1782,\tbest estimator xgboost's best error=0.1782\n",
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"[flaml.automl: 07-01 15:44:25] {2933} INFO - iteration 23, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:44:31] {3108} INFO - at 44.8s,\testimator xgboost's best error=0.1782,\tbest estimator xgboost's best error=0.1782\n",
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"[flaml.automl: 07-01 15:44:31] {2933} INFO - iteration 24, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:44:39] {3108} INFO - at 52.8s,\testimator xgboost's best error=0.1782,\tbest estimator xgboost's best error=0.1782\n",
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"[flaml.automl: 07-01 15:44:39] {2933} INFO - iteration 25, current learner xgboost\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:44:40] {3108} INFO - at 54.2s,\testimator xgboost's best error=0.1782,\tbest estimator xgboost's best error=0.1782\n",
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"[flaml.automl: 07-01 15:44:40] {2933} INFO - iteration 26, current learner xgboost\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:45:18] {3108} INFO - at 92.2s,\testimator xgboost's best error=0.1660,\tbest estimator xgboost's best error=0.1660\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:45:26] {3372} INFO - retrain xgboost for 7.9s\n",
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"[flaml.automl: 07-01 15:45:26] {3379} INFO - retrained model: XGBRegressor(base_score=0.5, booster='gbtree',\n",
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" colsample_bylevel=0.5656764254642628, colsample_bynode=1,\n",
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" colsample_bytree=0.7313266091895249, gamma=0, gpu_id=-1,\n",
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" grow_policy='lossguide', importance_type='gain',\n",
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" interaction_constraints='', learning_rate=0.03478685333241491,\n",
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" max_delta_step=0, max_depth=0, max_leaves=160,\n",
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" min_child_weight=32.57408640781372, missing=nan,\n",
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" monotone_constraints='()', n_estimators=776, n_jobs=-1,\n",
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" num_parallel_tree=1, random_state=0,\n",
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" reg_alpha=0.005771390107656191, reg_lambda=1.4912667278658707,\n",
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" scale_pos_weight=1, subsample=0.9152991332236934,\n",
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" tree_method='hist', use_label_encoder=False, validate_parameters=1,\n",
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" verbosity=0)\n",
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"[flaml.automl: 07-01 15:45:26] {2672} INFO - fit succeeded\n",
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"[flaml.automl: 07-01 15:45:26] {2673} INFO - Time taken to find the best model: 92.18670916557312\n",
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"[flaml.automl: 07-01 15:45:26] {2684} WARNING - Time taken to find the best model is 77% of the provided time budget and not all estimators' hyperparameter search converged. Consider increasing the time budget.\n"
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]
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}
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],
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"source": [
|
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"'''The main flaml automl API'''\n",
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"automl.fit(X_train=X_train, y_train=y_train, **settings)"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"### Best model and metric"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Best hyperparmeter config: {'n_estimators': 776, 'max_leaves': 160, 'min_child_weight': 32.57408640781372, 'learning_rate': 0.03478685333241491, 'subsample': 0.9152991332236934, 'colsample_bylevel': 0.5656764254642628, 'colsample_bytree': 0.7313266091895249, 'reg_alpha': 0.005771390107656191, 'reg_lambda': 1.4912667278658707}\n",
|
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"Best r2 on validation data: 0.834\n",
|
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"Training duration of best run: 7.944 s\n"
|
|
]
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|
}
|
|
],
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"source": [
|
|
"# retrieve best config\n",
|
|
"print('Best hyperparmeter config:', automl.best_config)\n",
|
|
"print('Best r2 on validation data: {0:.4g}'.format(1 - automl.best_loss))\n",
|
|
"print('Training duration of best run: {0:.4g} s'.format(automl.best_config_train_time))"
|
|
]
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},
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{
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"cell_type": "code",
|
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"execution_count": 6,
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>XGBRegressor(base_score=0.5, booster='gbtree',\n",
|
|
" colsample_bylevel=0.5656764254642628, colsample_bynode=1,\n",
|
|
" colsample_bytree=0.7313266091895249, gamma=0, gpu_id=-1,\n",
|
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" grow_policy='lossguide', importance_type='gain',\n",
|
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" interaction_constraints='', learning_rate=0.03478685333241491,\n",
|
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" max_delta_step=0, max_depth=0, max_leaves=160,\n",
|
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" min_child_weight=32.57408640781372, missing=nan,\n",
|
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" monotone_constraints='()', n_estimators=776, n_jobs=-1,\n",
|
|
" num_parallel_tree=1, random_state=0,\n",
|
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" reg_alpha=0.005771390107656191, reg_lambda=1.4912667278658707,\n",
|
|
" scale_pos_weight=1, subsample=0.9152991332236934,\n",
|
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" tree_method='hist', use_label_encoder=False, validate_parameters=1,\n",
|
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" verbosity=0)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">XGBRegressor</label><div class=\"sk-toggleable__content\"><pre>XGBRegressor(base_score=0.5, booster='gbtree',\n",
|
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" colsample_bylevel=0.5656764254642628, colsample_bynode=1,\n",
|
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" colsample_bytree=0.7313266091895249, gamma=0, gpu_id=-1,\n",
|
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" grow_policy='lossguide', importance_type='gain',\n",
|
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" interaction_constraints='', learning_rate=0.03478685333241491,\n",
|
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" max_delta_step=0, max_depth=0, max_leaves=160,\n",
|
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" min_child_weight=32.57408640781372, missing=nan,\n",
|
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" monotone_constraints='()', n_estimators=776, n_jobs=-1,\n",
|
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" num_parallel_tree=1, random_state=0,\n",
|
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" reg_alpha=0.005771390107656191, reg_lambda=1.4912667278658707,\n",
|
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" scale_pos_weight=1, subsample=0.9152991332236934,\n",
|
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" tree_method='hist', use_label_encoder=False, validate_parameters=1,\n",
|
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" verbosity=0)</pre></div></div></div></div></div>"
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],
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"text/plain": [
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"XGBRegressor(base_score=0.5, booster='gbtree',\n",
|
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" colsample_bylevel=0.5656764254642628, colsample_bynode=1,\n",
|
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" colsample_bytree=0.7313266091895249, gamma=0, gpu_id=-1,\n",
|
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" grow_policy='lossguide', importance_type='gain',\n",
|
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" interaction_constraints='', learning_rate=0.03478685333241491,\n",
|
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" max_delta_step=0, max_depth=0, max_leaves=160,\n",
|
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" min_child_weight=32.57408640781372, missing=nan,\n",
|
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" monotone_constraints='()', n_estimators=776, n_jobs=-1,\n",
|
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" num_parallel_tree=1, random_state=0,\n",
|
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" reg_alpha=0.005771390107656191, reg_lambda=1.4912667278658707,\n",
|
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" scale_pos_weight=1, subsample=0.9152991332236934,\n",
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" tree_method='hist', use_label_encoder=False, validate_parameters=1,\n",
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" verbosity=0)"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"automl.model.estimator"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<BarContainer object of 8 artists>"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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},
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{
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"data": {
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"image/png": "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",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# plot feature importance\n",
|
|
"import matplotlib.pyplot as plt\n",
|
|
"plt.barh(automl.feature_names_in_, automl.feature_importances_)\n",
|
|
"# plt.barh(X_train.columns, automl.model.estimator.feature_importances_)"
|
|
]
|
|
},
|
|
{
|
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"outputs": [],
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"source": [
|
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"# pickle and save the automl object\n",
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"import pickle\n",
|
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"with open('automl.pkl', 'wb') as f:\n",
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" pickle.dump(automl, f, pickle.HIGHEST_PROTOCOL)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Predicted labels [137582.95 255519.23 139866.06 ... 185638.95 202493.78 269308.22]\n",
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"True labels 14740 136900.0\n",
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"10101 241300.0\n",
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"20566 200700.0\n",
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"2670 72500.0\n",
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"15709 460000.0\n",
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" ... \n",
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"13132 121200.0\n",
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"8228 137500.0\n",
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"3948 160900.0\n",
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"8522 227300.0\n",
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"16798 265600.0\n",
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"Name: median_house_value, Length: 5160, dtype: float64\n"
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]
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}
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],
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"source": [
|
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"# compute predictions of testing dataset\n",
|
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"y_pred = automl.predict(X_test)\n",
|
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"print('Predicted labels', y_pred)\n",
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"print('True labels', y_test)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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},
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"tags": []
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},
|
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"outputs": [
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{
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"name": "stdout",
|
|
"output_type": "stream",
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|
"text": [
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"r2 = 0.8439648010782455\n",
|
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"mse = 2062552297.637671\n",
|
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"mae = 30303.196010098716\n"
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]
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}
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],
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"source": [
|
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"# compute different metric values on testing dataset\n",
|
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"from flaml.ml import sklearn_metric_loss_score\n",
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"print('r2', '=', 1 - sklearn_metric_loss_score('r2', y_pred, y_test))\n",
|
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"print('mse', '=', sklearn_metric_loss_score('mse', y_pred, y_test))\n",
|
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"print('mae', '=', sklearn_metric_loss_score('mae', y_pred, y_test))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {
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"slideshow": {
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"slide_type": "subslide"
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},
|
|
"tags": []
|
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},
|
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"outputs": [
|
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{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"{'Current Learner': 'xgboost', 'Current Sample': 15480, 'Current Hyper-parameters': {'n_estimators': 4, 'max_leaves': 4, 'min_child_weight': 0.9999999999999993, 'learning_rate': 0.09999999999999995, 'subsample': 1.0, 'colsample_bylevel': 1.0, 'colsample_bytree': 1.0, 'reg_alpha': 0.0009765625, 'reg_lambda': 1.0}, 'Best Learner': 'xgboost', 'Best Hyper-parameters': {'n_estimators': 4, 'max_leaves': 4, 'min_child_weight': 0.9999999999999993, 'learning_rate': 0.09999999999999995, 'subsample': 1.0, 'colsample_bylevel': 1.0, 'colsample_bytree': 1.0, 'reg_alpha': 0.0009765625, 'reg_lambda': 1.0}}\n",
|
|
"{'Current Learner': 'xgboost', 'Current Sample': 15480, 'Current Hyper-parameters': {'n_estimators': 4, 'max_leaves': 4, 'min_child_weight': 0.26208115308159446, 'learning_rate': 0.25912534572860507, 'subsample': 0.9266743941610592, 'colsample_bylevel': 1.0, 'colsample_bytree': 1.0, 'reg_alpha': 0.0013933617380144255, 'reg_lambda': 0.18096917948292954}, 'Best Learner': 'xgboost', 'Best Hyper-parameters': {'n_estimators': 4, 'max_leaves': 4, 'min_child_weight': 0.26208115308159446, 'learning_rate': 0.25912534572860507, 'subsample': 0.9266743941610592, 'colsample_bylevel': 1.0, 'colsample_bytree': 1.0, 'reg_alpha': 0.0013933617380144255, 'reg_lambda': 0.18096917948292954}}\n",
|
|
"{'Current Learner': 'xgboost', 'Current Sample': 15480, 'Current Hyper-parameters': {'n_estimators': 4, 'max_leaves': 4, 'min_child_weight': 1.8630223791106992, 'learning_rate': 1.0, 'subsample': 0.8513627344387318, 'colsample_bylevel': 1.0, 'colsample_bytree': 0.946138073111236, 'reg_alpha': 0.0018311776973217071, 'reg_lambda': 0.2790165919053837}, 'Best Learner': 'xgboost', 'Best Hyper-parameters': {'n_estimators': 4, 'max_leaves': 4, 'min_child_weight': 1.8630223791106992, 'learning_rate': 1.0, 'subsample': 0.8513627344387318, 'colsample_bylevel': 1.0, 'colsample_bytree': 0.946138073111236, 'reg_alpha': 0.0018311776973217071, 'reg_lambda': 0.2790165919053837}}\n",
|
|
"{'Current Learner': 'xgboost', 'Current Sample': 15480, 'Current Hyper-parameters': {'n_estimators': 11, 'max_leaves': 4, 'min_child_weight': 5.909231502320289, 'learning_rate': 1.0, 'subsample': 0.8894434216129232, 'colsample_bylevel': 1.0, 'colsample_bytree': 1.0, 'reg_alpha': 0.0013605736901132325, 'reg_lambda': 0.12221581185651631}, 'Best Learner': 'xgboost', 'Best Hyper-parameters': {'n_estimators': 11, 'max_leaves': 4, 'min_child_weight': 5.909231502320289, 'learning_rate': 1.0, 'subsample': 0.8894434216129232, 'colsample_bylevel': 1.0, 'colsample_bytree': 1.0, 'reg_alpha': 0.0013605736901132325, 'reg_lambda': 0.12221581185651631}}\n",
|
|
"{'Current Learner': 'xgboost', 'Current Sample': 15480, 'Current Hyper-parameters': {'n_estimators': 11, 'max_leaves': 11, 'min_child_weight': 8.51762938681116, 'learning_rate': 1.0, 'subsample': 0.9233328006239466, 'colsample_bylevel': 1.0, 'colsample_bytree': 0.9468117873770695, 'reg_alpha': 0.034996420228767956, 'reg_lambda': 0.616907946147381}, 'Best Learner': 'xgboost', 'Best Hyper-parameters': {'n_estimators': 11, 'max_leaves': 11, 'min_child_weight': 8.51762938681116, 'learning_rate': 1.0, 'subsample': 0.9233328006239466, 'colsample_bylevel': 1.0, 'colsample_bytree': 0.9468117873770695, 'reg_alpha': 0.034996420228767956, 'reg_lambda': 0.616907946147381}}\n",
|
|
"{'Current Learner': 'xgboost', 'Current Sample': 15480, 'Current Hyper-parameters': {'n_estimators': 20, 'max_leaves': 15, 'min_child_weight': 43.62419686983011, 'learning_rate': 0.6413547778096401, 'subsample': 1.0, 'colsample_bylevel': 1.0, 'colsample_bytree': 0.8481188761562112, 'reg_alpha': 0.01241885232679939, 'reg_lambda': 0.21352682817916618}, 'Best Learner': 'xgboost', 'Best Hyper-parameters': {'n_estimators': 20, 'max_leaves': 15, 'min_child_weight': 43.62419686983011, 'learning_rate': 0.6413547778096401, 'subsample': 1.0, 'colsample_bylevel': 1.0, 'colsample_bytree': 0.8481188761562112, 'reg_alpha': 0.01241885232679939, 'reg_lambda': 0.21352682817916618}}\n",
|
|
"{'Current Learner': 'xgboost', 'Current Sample': 15480, 'Current Hyper-parameters': {'n_estimators': 58, 'max_leaves': 8, 'min_child_weight': 51.84874392377363, 'learning_rate': 0.23511987355535005, 'subsample': 1.0, 'colsample_bylevel': 0.8182737361783602, 'colsample_bytree': 0.8031986460435498, 'reg_alpha': 0.00400039941928546, 'reg_lambda': 0.3870252968100468}, 'Best Learner': 'xgboost', 'Best Hyper-parameters': {'n_estimators': 58, 'max_leaves': 8, 'min_child_weight': 51.84874392377363, 'learning_rate': 0.23511987355535005, 'subsample': 1.0, 'colsample_bylevel': 0.8182737361783602, 'colsample_bytree': 0.8031986460435498, 'reg_alpha': 0.00400039941928546, 'reg_lambda': 0.3870252968100468}}\n",
|
|
"{'Current Learner': 'xgboost', 'Current Sample': 15480, 'Current Hyper-parameters': {'n_estimators': 101, 'max_leaves': 14, 'min_child_weight': 7.444058088783045, 'learning_rate': 0.39220715578198356, 'subsample': 1.0, 'colsample_bylevel': 0.6274332478496758, 'colsample_bytree': 0.7190251742957809, 'reg_alpha': 0.007212902167942765, 'reg_lambda': 0.2017205668965811}, 'Best Learner': 'xgboost', 'Best Hyper-parameters': {'n_estimators': 101, 'max_leaves': 14, 'min_child_weight': 7.444058088783045, 'learning_rate': 0.39220715578198356, 'subsample': 1.0, 'colsample_bylevel': 0.6274332478496758, 'colsample_bytree': 0.7190251742957809, 'reg_alpha': 0.007212902167942765, 'reg_lambda': 0.2017205668965811}}\n",
|
|
"{'Current Learner': 'xgboost', 'Current Sample': 15480, 'Current Hyper-parameters': {'n_estimators': 205, 'max_leaves': 30, 'min_child_weight': 5.450621032615097, 'learning_rate': 0.12229148765139466, 'subsample': 0.8895588746662894, 'colsample_bylevel': 0.47518959001130784, 'colsample_bytree': 0.6845612830806885, 'reg_alpha': 0.01126059820390593, 'reg_lambda': 0.0817081668660242}, 'Best Learner': 'xgboost', 'Best Hyper-parameters': {'n_estimators': 205, 'max_leaves': 30, 'min_child_weight': 5.450621032615097, 'learning_rate': 0.12229148765139466, 'subsample': 0.8895588746662894, 'colsample_bylevel': 0.47518959001130784, 'colsample_bytree': 0.6845612830806885, 'reg_alpha': 0.01126059820390593, 'reg_lambda': 0.0817081668660242}}\n",
|
|
"{'Current Learner': 'xgboost', 'Current Sample': 15480, 'Current Hyper-parameters': {'n_estimators': 222, 'max_leaves': 62, 'min_child_weight': 7.505471619218571, 'learning_rate': 0.04623175582706431, 'subsample': 0.8756054034199897, 'colsample_bylevel': 0.44768367042684304, 'colsample_bytree': 0.7352307811741962, 'reg_alpha': 0.0009765625, 'reg_lambda': 0.6207832675443745}, 'Best Learner': 'xgboost', 'Best Hyper-parameters': {'n_estimators': 222, 'max_leaves': 62, 'min_child_weight': 7.505471619218571, 'learning_rate': 0.04623175582706431, 'subsample': 0.8756054034199897, 'colsample_bylevel': 0.44768367042684304, 'colsample_bytree': 0.7352307811741962, 'reg_alpha': 0.0009765625, 'reg_lambda': 0.6207832675443745}}\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"from flaml.automl.data import get_output_from_log\n",
|
|
"time_history, best_valid_loss_history, valid_loss_history, config_history, metric_history = \\\n",
|
|
" get_output_from_log(filename=settings['log_file_name'], time_budget=60)\n",
|
|
"\n",
|
|
"for config in config_history:\n",
|
|
" print(config)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 12,
|
|
"metadata": {
|
|
"slideshow": {
|
|
"slide_type": "slide"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"import matplotlib.pyplot as plt\n",
|
|
"import numpy as np\n",
|
|
"\n",
|
|
"plt.title('Learning Curve')\n",
|
|
"plt.xlabel('Wall Clock Time (s)')\n",
|
|
"plt.ylabel('Validation r2')\n",
|
|
"plt.scatter(time_history, 1 - np.array(valid_loss_history))\n",
|
|
"plt.step(time_history, 1 - np.array(best_valid_loss_history), where='post')\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"attachments": {},
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 3. Comparison with untuned XGBoost\n",
|
|
"\n",
|
|
"### FLAML's accuracy"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 13,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"flaml (120s) r2 = 0.8439648010782455\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print('flaml (120s) r2', '=', 1 - sklearn_metric_loss_score('r2', y_pred, y_test))"
|
|
]
|
|
},
|
|
{
|
|
"attachments": {},
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Default XGBoost"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 14,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"from xgboost import XGBRegressor\n",
|
|
"xgb = XGBRegressor()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 15,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
|
|
" from pandas import MultiIndex, Int64Index\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
|
|
" colsample_bynode=1, colsample_bytree=1, gamma=0, gpu_id=-1,\n",
|
|
" importance_type='gain', interaction_constraints='',\n",
|
|
" learning_rate=0.300000012, max_delta_step=0, max_depth=6,\n",
|
|
" min_child_weight=1, missing=nan, monotone_constraints='()',\n",
|
|
" n_estimators=100, n_jobs=2, num_parallel_tree=1, random_state=0,\n",
|
|
" reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,\n",
|
|
" tree_method='exact', validate_parameters=1, verbosity=None)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">XGBRegressor</label><div class=\"sk-toggleable__content\"><pre>XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
|
|
" colsample_bynode=1, colsample_bytree=1, gamma=0, gpu_id=-1,\n",
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" importance_type='gain', interaction_constraints='',\n",
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" learning_rate=0.300000012, max_delta_step=0, max_depth=6,\n",
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" min_child_weight=1, missing=nan, monotone_constraints='()',\n",
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" n_estimators=100, n_jobs=2, num_parallel_tree=1, random_state=0,\n",
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" reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,\n",
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" tree_method='exact', validate_parameters=1, verbosity=None)</pre></div></div></div></div></div>"
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],
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"text/plain": [
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"XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
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" colsample_bynode=1, colsample_bytree=1, gamma=0, gpu_id=-1,\n",
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" importance_type='gain', interaction_constraints='',\n",
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" learning_rate=0.300000012, max_delta_step=0, max_depth=6,\n",
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" min_child_weight=1, missing=nan, monotone_constraints='()',\n",
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" n_estimators=100, n_jobs=2, num_parallel_tree=1, random_state=0,\n",
|
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" reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,\n",
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" tree_method='exact', validate_parameters=1, verbosity=None)"
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]
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},
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"execution_count": 15,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"xgb.fit(X_train, y_train)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"metadata": {
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"default xgboost r2 = 0.8265451174596482\n"
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]
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}
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],
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"source": [
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"y_pred = xgb.predict(X_test)\n",
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"from flaml.ml import sklearn_metric_loss_score\n",
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"print('default xgboost r2', '=', 1 - sklearn_metric_loss_score('r2', y_pred, y_test))"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 4. Add customized XGBoost learners in FLAML\n",
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"You can easily enable a custom objective function by adding a customized XGBoost learner (inherit XGBoostEstimator or XGBoostSklearnEstimator) in FLAML. In the following example, we show how to add such a customized XGBoost learner with a custom objective function. "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"metadata": {
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"tags": []
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},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"[flaml.automl: 07-01 15:45:35] {2427} INFO - task = regression\n",
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"[flaml.automl: 07-01 15:45:35] {2429} INFO - Data split method: uniform\n",
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"[flaml.automl: 07-01 15:45:35] {2432} INFO - Evaluation method: holdout\n",
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"[flaml.automl: 07-01 15:45:35] {2501} INFO - Minimizing error metric: 1-r2\n",
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"[flaml.automl: 07-01 15:45:35] {2641} INFO - List of ML learners in AutoML Run: ['my_xgb1', 'my_xgb2']\n",
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"[flaml.automl: 07-01 15:45:35] {2933} INFO - iteration 0, current learner my_xgb1\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:45:35] {3061} INFO - Estimated sufficient time budget=356s. Estimated necessary time budget=0s.\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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" from pandas import MultiIndex, Int64Index\n",
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"[flaml.automl: 07-01 15:46:05] {3372} INFO - retrain my_xgb1 for 0.1s\n",
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"[flaml.automl: 07-01 15:46:05] {3379} INFO - retrained model: <xgboost.core.Booster object at 0x7f91096e8ee0>\n",
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"[flaml.automl: 07-01 15:46:05] {2672} INFO - fit succeeded\n",
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"[flaml.automl: 07-01 15:46:05] {2673} INFO - Time taken to find the best model: 17.357497692108154\n"
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]
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}
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],
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"source": [
|
|
"import numpy as np \n",
|
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"\n",
|
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"# define your customized objective function\n",
|
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"def logregobj(preds, dtrain):\n",
|
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" labels = dtrain.get_label()\n",
|
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" preds = 1.0 / (1.0 + np.exp(-preds)) # transform raw leaf weight\n",
|
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" grad = preds - labels\n",
|
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" hess = preds * (1.0 - preds)\n",
|
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" return grad, hess\n",
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"\n",
|
|
"# create customized XGBoost learners class with your objective function\n",
|
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"from flaml.automl.model import XGBoostEstimator\n",
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"\n",
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"\n",
|
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"class MyXGB1(XGBoostEstimator):\n",
|
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" \"XGBoostEstimator with the logregobj function as the objective function\"\n",
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"\n",
|
|
" def __init__(self, **config):\n",
|
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" super().__init__(objective=logregobj, **config) \n",
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"\n",
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"\n",
|
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"class MyXGB2(XGBoostEstimator):\n",
|
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" \"\"\"XGBoostEstimator with 'reg:squarederror' as the objective function\"\"\"\n",
|
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"\n",
|
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" def __init__(self, **config):\n",
|
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" super().__init__(objective='reg:gamma', **config)\n",
|
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"\n",
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"\n",
|
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"from flaml import AutoML\n",
|
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"automl = AutoML()\n",
|
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"automl.add_learner(learner_name='my_xgb1', learner_class=MyXGB1)\n",
|
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"automl.add_learner(learner_name='my_xgb2', learner_class=MyXGB2)\n",
|
|
"settings = {\n",
|
|
" \"time_budget\": 30, # total running time in seconds\n",
|
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" \"metric\": 'r2', # primary metrics for regression can be chosen from: ['mae','mse','r2']\n",
|
|
" \"estimator_list\": ['my_xgb1', 'my_xgb2'], # list of ML learners; we tune lightgbm in this example\n",
|
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" \"task\": 'regression', # task type \n",
|
|
" \"log_file_name\": 'houses_experiment_my_xgb.log', # flaml log file\n",
|
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"}\n",
|
|
"automl.fit(X_train=X_train, y_train=y_train, **settings)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
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"execution_count": 18,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
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"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Best hyperparmeter config: {'n_estimators': 28, 'max_leaves': 182, 'max_depth': 0, 'min_child_weight': 0.001, 'learning_rate': 0.22769736448966632, 'subsample': 0.6775148384104485, 'colsample_bylevel': 0.9912902070149149, 'colsample_bytree': 1.0, 'reg_alpha': 0.07330248020902469, 'reg_lambda': 0.3605450877048755}\n",
|
|
"Best r2 on validation data: 0.6653\n",
|
|
"Training duration of best run: 0.09441 s\n",
|
|
"Predicted labels\n",
|
|
"[172378.17 248509.11 156986.72 ... 201823.47 238128.38 273842.53]\n",
|
|
"True labels\n",
|
|
"14740 136900.0\n",
|
|
"10101 241300.0\n",
|
|
"20566 200700.0\n",
|
|
"2670 72500.0\n",
|
|
"15709 460000.0\n",
|
|
" ... \n",
|
|
"13132 121200.0\n",
|
|
"8228 137500.0\n",
|
|
"3948 160900.0\n",
|
|
"8522 227300.0\n",
|
|
"16798 265600.0\n",
|
|
"Name: median_house_value, Length: 5160, dtype: float64\n",
|
|
"r2 = 0.6722200251197084\n",
|
|
"mse = 4332761742.09886\n",
|
|
"mae = 43937.87377986465\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"/root/.local/lib/python3.9/site-packages/xgboost/data.py:192: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
|
|
" from pandas import MultiIndex, Int64Index\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print('Best hyperparmeter config:', automl.best_config)\n",
|
|
"print('Best r2 on validation data: {0:.4g}'.format(1-automl.best_loss))\n",
|
|
"print('Training duration of best run: {0:.4g} s'.format(automl.best_config_train_time))\n",
|
|
"\n",
|
|
"y_pred = automl.predict(X_test)\n",
|
|
"print(f'Predicted labels\\n{y_pred}')\n",
|
|
"print(f'True labels\\n{y_test}')\n",
|
|
"\n",
|
|
"from flaml.ml import sklearn_metric_loss_score\n",
|
|
"print('r2', '=', 1 - sklearn_metric_loss_score('r2', y_pred, y_test))\n",
|
|
"print('mse', '=', sklearn_metric_loss_score('mse', y_pred, y_test))\n",
|
|
"print('mae', '=', sklearn_metric_loss_score('mae', y_pred, y_test))"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3.9.12 64-bit",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.9.12"
|
|
},
|
|
"vscode": {
|
|
"interpreter": {
|
|
"hash": "949777d72b0d2535278d3dc13498b2535136f6dfe0678499012e853ee9abcab1"
|
|
}
|
|
}
|
|
},
|
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"nbformat": 4,
|
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"nbformat_minor": 2
|
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}
|