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Table of Contents

• ↓ Why InterpretML?
• ↓ Types of Models Supported
• ↓ Wide Variety of Techniques
• ↓ What You Can Do With InterpretML
• ↓ Who Can Benefit from InterpretML?
• ↓ Contribute to InterpretML
• ↓ Top Alternatives to interpret.ml

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"A toolkit to help understand models and enable responsible machine learning"

"Comprehensive support for multiple types of models and algorithms, during training and inferencing"

"Model interpretability helps developers, data scientists and business stakeholders in the organization gain a comprehensive understanding of their machine learning models. It can also be used to debug models, explain predictions and enable auditing to meet compliance with regulatory requirements."

"Access state-of-the-art interpretability techniques through an open unified API set and rich visualizations."

Key Topics & Focus Areas for interpret.ml:

Why InterpretML?

Types of Models Supported

Wide Variety of Techniques

What You Can Do With InterpretML

Who Can Benefit from InterpretML?

Contribute to InterpretML