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  • Overview
    • Introduction
    • Getting Started
    • Algorithm Overview
    • White-box and black-box models
    • Saving and loading
    • Frequently Asked Questions
  • Explanations
    • Methods
    • Examples
      • Alibi Overview Examples
      • Accumulated Local Effets
      • Anchors
        • Anchor explanations for fashion MNIST
        • Anchor explanations for ImageNet
        • Anchor explanations for income prediction
        • Anchor explanations on the Iris dataset
        • Anchor explanations for movie sentiment
      • Contrastive Explanation Method
      • Counterfactual Instances on MNIST
      • Counterfactuals Guided by Prototypes
      • Counterfactuals with Reinforcement Learning
      • Integrated Gradients
      • Kernel SHAP
      • Partial Dependence
      • Partial Dependence Variance
      • Permutation Importance
      • Similarity explanations
      • Tree SHAP
  • Model Confidence
    • Methods
    • Examples
  • Prototypes
    • Methods
    • Examples
  • API Reference
    • alibi.api
    • alibi.confidence
    • alibi.datasets
    • alibi.exceptions
    • alibi.explainers
    • alibi.models
    • alibi.prototypes
    • alibi.saving
    • alibi.utils
    • alibi.version
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  1. Explanations
  2. Examples

Anchors

Anchor explanations for fashion MNISTAnchor explanations for ImageNetAnchor explanations for income predictionAnchor explanations on the Iris datasetAnchor explanations for movie sentiment
PreviousAccumulated Local Effects for predicting house pricesNextAnchor explanations for fashion MNIST

Last updated 2 months ago

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