How do I install Captum?

You can install Captum via conda (conda install captum -c pytorch) or pip (pip install captum).

What types of models does Captum support?

Captum supports most types of PyTorch models and can be used with minimal modification to the original neural network.

What is Integrated Gradients?

Integrated Gradients is an algorithm implemented in Captum that helps to attribute the prediction of a model to its input features.

Captum AI

Name: Captum AI
Brand: Captum
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PyTorch library for model interpretability across modalities.

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Captum AI Introduction

What is Captum AI?

Captum is a PyTorch library for model interpretability. It provides tools and techniques to understand and attribute the predictions of PyTorch models across various modalities, including vision and text. Captum supports most PyTorch models and allows for easy implementation and benchmarking of new interpretability algorithms.

How to use Captum AI?

Install Captum via conda or pip. Import necessary libraries like numpy, torch, and IntegratedGradients from captum.attr. Define and prepare your PyTorch model. Instantiate an interpretability algorithm (e.g., IntegratedGradients). Apply the algorithm to your input data and baseline to obtain attributions and convergence delta.

Why Choose Captum AI?

Choose this if you need a powerful tool to interpret and understand your AI models better. It’s great for developers wanting clear insights into their systems.