Logo
latest

Overview

  • Getting Started
  • Algorithm overview
  • Roadmap

Methods

  • Accumulated Local Effects
  • Anchors
  • Contrastive Explanation Method
  • Counterfactual Instances
  • Counterfactuals Guided by Prototypes
  • Integrated Gradients
  • Kernel SHAP
  • Measuring the linearity of machine learning models
  • Trust Scores
  • Tree SHAP

Examples

  • Accumulated Local Effects for predicting house prices
  • Accumulated Local Effects for classifying flowers
  • Anchor explanations for income prediction
  • Anchor explanations on the Iris dataset
  • Anchor explanations for movie sentiment
  • Anchor explanations for ImageNet
  • Anchor explanations for fashion MNIST
  • Contrastive Explanations Method (CEM) applied to MNIST
  • Contrastive Explanations Method (CEM) applied to Iris dataset
  • Counterfactual instances on MNIST
  • Counterfactuals guided by prototypes on MNIST
  • Counterfactuals guided by prototypes on Boston housing dataset
  • Counterfactual explanations with one-hot encoded categorical variables
  • Counterfactual explanations with ordinally encoded categorical variables
  • Kernel SHAP explanation for SVM models
  • Kernel SHAP explanation for multinomial logistic regression models
  • Handling categorical variables with KernelSHAP
  • KernelSHAP: combining preprocessor and predictor
  • Distributed KernelSHAP
  • Linearity measure applied to Iris
  • Linearity measure applied to fashion MNIST
  • Trust Scores applied to Iris
  • Trust Scores applied to MNIST
  • Explaining Tree Models with Interventional Feature Perturbation Tree SHAP
  • Explaining Tree Models with Path-Dependent Feature Perturbation Tree SHAP
  • Integrated gradients for a ResNet model trained on Imagenet dataset
  • Integrated gradients for MNIST
  • Integrated gradients for text classification on the IMDB dataset

API reference

  • API reference
Alibi
  • Docs »
  • Search
  • Edit on GitHub

© Copyright 2019, Seldon Technologies Ltd Revision a7e7d518.

Built with Sphinx using a theme provided by Read the Docs.
Read the Docs v: latest
Versions
latest
stable
v0.5.6
v0.5.5
v0.5.4
v0.5.3
v0.5.2
v0.5.1
v0.5.0
v0.4.0
v0.3.2
v0.3.1
v0.3.0
v0.2.3
v0.2.2
v0.2.1
v0.2.0
v0.1.0
alexcoca-kernelshap
Downloads
pdf
On Read the Docs
Project Home
Builds
Free document hosting provided by Read the Docs.