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Azure Machine Learning components repository

This repository contains un-official Azure Machine Learning components to use in AzureML pipelines. The components contain a variety of functionalities to improve the current capabilities.

Components

The following components are available.

Category Module name Description
Scoring & Evaluation Evaluate model Performs the model evaluation of a given model and optionally it is compared against another model.
Scoring & Evaluation Promote evaluation results Promotes a given evaluation results to the pipeline run. Optionally, it can also promote all the tracking of the nodes in the pipeline.

Installation

Create the base environment

The components in this reposity runs on the environment components-base-py38. You can create the environment with the AzureML CLI:

az ml environment create -f environments/components-base-py38.yml

Create the components

You can install this modules using the AzureML CLI or AzureML studio.

cd <component folder> 
az ml component create -f component.yml