Azure Machine Learning Pipeline high level API
Project description
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.
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
- for Http triggered pipeline: inherent HttpTriggeredPipeline class and override two methods:registerDataStores() and definePipelineSteps() . Example: HttpSklearnAzureFunctionPipeline.py
- for schedule based pipeline: (developing)
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Build locally
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
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