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* add pipeline tuner component and dependencies. * clean code. * do not need force rerun. * replace the resources. * update metrics retrieving. * Update test/pipeline_tuning_example/requirements.txt * Update test/pipeline_tuning_example/train/env.yaml * Update test/pipeline_tuning_example/tuner/env.yaml * Update test/pipeline_tuning_example/tuner/tuner_func.py * Update test/pipeline_tuning_example/data_prep/env.yaml * fix issues found by lint with flake8. * add documentation * add data. * do not need AML resource for local run. * AML -> AzureML * clean code. * Update website/docs/Examples/Tune-AzureML pipeline.md * rename and add pip install. * update figure name. * align docs with code. * remove extra line.
Website
This website is built using Docusaurus 2, a modern static website generator.
Prerequisites
To build and test documentation locally, begin by downloading and installing Node.js, and then installing Yarn. On Windows, you can install via the npm package manager (npm) which comes bundled with Node.js:
npm install --global yarn
Installation
pip install pydoc-markdown
cd website
yarn install
Local Development
Navigate to the website folder and run:
pydoc-markdown
yarn start
This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server.