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Contributors to TSPerf
============================
TSPerf is developed and maintained by a community of people interested in exploring forecasting algorithms and how best to deploy them in industry settings. The goal is to accelerate the workflow of any individual or organization working on forecasting systems. Everyone is encouraged to contribute at any level to add and improve the implemented algorithms, notebooks and utilities.
Committers (sorted alphabetically)
----------------------------------
Committers are actively supporting the project and have made substantial contributions to the repository.<br>
They have write access to the repo and provide support reviewing issues and pull requests.
* **[Name](https://github.com/GitHubName)**
* list of contributions
Contributors
------------
[Full List of Contributors](https://github.com/Microsoft/Forecasting/graphs/contributors)
- To contributors: please add your name to the list when you submit a patch to the project
---
* **[Name](https://github.com/GitHubName)**
* List of contributions

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# Contribution Guidelines
Contribution are welcome! Here's a few things to know:
Contribution are welcome! Here's a few things to know:
* [Setup](./SETUP.md)
* [Microsoft Contributor License Agreement](#microsoft-contributor-license-agreement)

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## Setting up Environment
Please follow these instructions to read about the preferred compute environment and to set up the environment.
Please follow these instructions to read about the preferred compute environment and to set up the environment.
### Compute environment

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# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# Licensed under the MIT License.
# To create the conda environment:
# $ conda env create -f environment.yaml

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REM Copyright (c) Microsoft Corporation.
REM Licensed under the MIT License.
REM Licensed under the MIT License.
REM Please follow instructions in this link
REM https://docs.conda.io/projects/conda/en/latest/user-guide/install/windows.html

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# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# Licensed under the MIT License.
# Update conda

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#!/usr/bin/python
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# Licensed under the MIT License.
# This script creates yaml files to build conda environments
# For generating a conda file for running only python code:

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# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# Licensed under the MIT License.
# This file outputs a requirements.txt based on the libraries defined in generate_conda_file.py
from generate_conda_file import (