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Azure-ML-Pipeline

Azure Machine Learning Pipeline high level API

This project defines a set of high level APIs to define and publish Machine Learning Pipeline from Azure Machine Learning Service.

Pypi Project page: aml-pipeline

GitHub Repo: zmyzheng/Azure-ML-Pipeline

Azure Machine Learning Service supports 2 types of pipelines:

  • Http triggered pipeline: expose a constant REST endpoint to be triggered by authenticated Http request
  • Schedule based pipeline: pipeline is triggered by a predefined time interval.

Use the libary

pip install aml-pipeline
  1. for Http triggered pipeline: inherent HttpTriggeredPipeline class and override two methods:registerDataStores() and definePipelineSteps() . Example: HttpSklearnAzureFunctionPipeline.py
  2. for schedule based pipeline: (developing)

Contribute to this repo

Development Setup

Prerequisites

  • Python>=3.6

Use conda (recommended)

conda create -p .env python=3.7
conda activate ./.env
.env/bin/pip install -r src/requirements.txt

Use pip

python3.6 -m venv .env
source .env/bin/activate
.env/bin/pip install -r src/requirements.txt

Package release: https://packaging.python.org/tutorials/packaging-projects/

azure-ml-pipeline's People

Contributors

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Watchers

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