autogen/test/pipeline_tuning_example/tuner/component_spec.yaml

$schema: https://componentsdk.azureedge.net/jsonschema/CommandComponent.json
# TODO: update name
name: tuner
version: 0.0.1
display_name: tuner
code: ../
environment:
 conda:
  conda_dependencies_file: env.yaml
 os: Linux
command: >-
  python tuner/tuner_func.py
Add pipeline tuner component and dependencies. (#671) * add pipeline tuner component and dependencies. * clean code. * do not need force rerun. * replace the resources. * update metrics retrieving. * Update test/pipeline_tuning_example/requirements.txt * Update test/pipeline_tuning_example/train/env.yaml * Update test/pipeline_tuning_example/tuner/env.yaml * Update test/pipeline_tuning_example/tuner/tuner_func.py * Update test/pipeline_tuning_example/data_prep/env.yaml * fix issues found by lint with flake8. * add documentation * add data. * do not need AML resource for local run. * AML -> AzureML * clean code. * Update website/docs/Examples/Tune-AzureML pipeline.md * rename and add pip install. * update figure name. * align docs with code. * remove extra line. 2022-08-10 20:20:21 -07:00			`$schema: https://componentsdk.azureedge.net/jsonschema/CommandComponent.json`
			`# TODO: update name`
			`name: tuner`
			`version: 0.0.1`
			`display_name: tuner`
			`code: ../`
			`environment:`
			`conda:`
			`conda_dependencies_file: env.yaml`
			`os: Linux`
			`command: >-`
first 2022-10-09 11:39:29 -04:00			`python tuner/tuner_func.py`