DeepChecks is a Python package providing built-in checks for machine learning testing, including data integrity and model evaluation. This guide explains how to validate datasets, test trained models, and generate comprehensive reports using minimal code. You will learn to use DeepChecks for data integrity tests, train machine learning models, and run model evaluation suites. Also included are instructions on performing single checks, saving reports as JSON or HTML, and automating processes using GitHub Actions.
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Why do we need Machine Learning Testing?Getting Started with DeepChecksMachine Learning Model TestingRunning the Single CheckConclusion1 Comment
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