Example of using HyperDrive to tune a regular ML learner.

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Mario Bourgoin 17b6e3deb9 For running the random search.		2018-08-29 19:21:08 +00:00
utilities	Rename to give priority to Batch AI.	2018-08-29 16:15:06 +00:00
.gitignore	Add dotenv and configuration files as products.	2018-08-28 19:52:06 +00:00
00_Data_Prep.ipynb	Renamed utilities to prefer Batch AI.	2018-08-29 18:24:32 +00:00
01_Create_Model.ipynb	Decrease defaults for faster testing.	2018-08-29 18:25:57 +00:00
02_Test_Locally.ipynb	first run	2018-08-29 19:18:18 +00:00
03_Configure_Batch_AI.ipynb	Local testing	2018-08-29 19:11:24 +00:00
04_Create_Cluster.py	Rename for functionality.	2018-08-29 19:20:45 +00:00
05_Random_Search.ipynb	For running the random search.	2018-08-29 19:21:08 +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	remove requirement for futures incompatible with Python 3	2018-08-29 14:58:36 +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.