Vertex Explainable AI

Overview

• Introduction to Vertex Explainable AI

  Provides an overview of Vertex Explainable AI.

General

• Get explanations

  Describes how to get explanations from a deployed, custom-trained Model in Vertex Prediction or from an AutoML Model

• Limitations of Vertex Explainable AI

  Describes the limitations of Vertex Explainable AI.

Use example-based explanations for custom-trained models in Vertex Prediction

• Configure example-based explanations

  Describes how to configure a custom-trained Model so that you can get example-based explanations from it.

Use feature-based explanations for custom-trained models in Vertex Prediction

• Configure feature-based explanations

  Describes how to configure a custom-trained Model so that you can get feature-based explanations from it.

• Use TensorFlow for feature-based explanations

  Provides the information you need when training a TensorFlow model to make sure that you can use it for feature-based explanations.

• Configure feature-based visualization settings

  Describes how to configure a custom-trained Model so that you can visualize feature-based explanations.

• Improve feature-based explanations

  Describes how to improve your Vertex Explainable AI configuration based on feature-based explanations that you get.

Use feature-based explanations for AutoML image classification models

• Configure visualization settings for AutoML image classification

  Describes how to configure an AutoML-trained image classification model so that you can visualize explanations.

• Improve explanations for AutoML image classification

  Describes how to improve your Vertex Explainable AI configuration based on explanations that you get.