Example of using HyperDrive to tune a regular ML learner.

azureml

Перейти к файлу

Mario Bourgoin 7692cf82f2 Add comment strings.		2018-09-18 20:34:15 +00:00
Dockerfile	Clean notebooks. Rename dockerfiles.	2018-09-18 19:25:48 +00:00
utilities	Rename to give priority to Batch AI.	2018-08-29 16:15:06 +00:00
.gitignore	Create the docker image.	2018-09-18 20:33:54 +00:00
00_Data_Prep.ipynb	Renamed utilities to prefer Batch AI.	2018-08-29 18:24:32 +00:00
01_Create_Model.ipynb	Add comment strings.	2018-09-18 20:34:15 +00:00
02_Docker_Image.ipynb	Create the docker image.	2018-09-18 20:33:54 +00:00
03_Configure_Batch_AI.ipynb	Renumber to maek room.	2018-09-18 19:27:48 +00:00
04_Create_Cluster.ipynb	Clean notebooks. Rename dockerfiles.	2018-09-18 19:25:48 +00:00
05_Random_Search.ipynb	For running the random search.	2018-08-29 19:21:08 +00:00
06_Tear_Down.ipynb	Cleaning up.	2018-08-29 19:21:21 +00:00
ItemSelector.py	Missing class.	2018-08-29 19:11:39 +00:00
LICENSE	Initial commit	2018-08-14 10:13:23 -07:00
README.md	Add a Linux requirement. Fix formatting. Use Scikit-Lean 0.19.1 as *.2 is meant for Python 3.7.	2018-08-27 14:22:27 -04:00
environment.yml	Pull python-dotenv directly from its repo to workaround bugs.	2018-09-14 16:23:48 +00:00
label_rank.py	missing	2018-08-29 19:16:41 +00:00
text_utilities.py	Rename to give priority to Batch AI.	2018-08-29 16:15:06 +00:00
timer.py	Missing module.	2018-08-29 19:13:43 +00:00

README.md

Requirements

This project is meant to run on Linux.

Setup

To set up your environment to run these notebooks, please follow these steps.

Create the Python MLBatchAIHyperparameterTuning virtual environment using the environment.yml:
```
conda env create -f environment.yml
```

Activate the virtual environment:

source activate MLBatchAIHyperparameterTuning

Start the Jupyter notebook server in the virtual environment:
```
jupyter notebook
```

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.