> For the complete documentation index, see [llms.txt](https://docs.seldon.ai/alibi-explain/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.seldon.ai/alibi-explain/explanations/examples.md).

# Examples

- [Alibi Overview Examples](https://docs.seldon.ai/alibi-explain/explanations/examples/overview.md)
- [Accumulated Local Effets](https://docs.seldon.ai/alibi-explain/explanations/examples/accumulated-local-effets.md)
- [Accumulated Local Effects for classifying flowers](https://docs.seldon.ai/alibi-explain/explanations/examples/accumulated-local-effets/ale_classification.md)
- [Accumulated Local Effects for predicting house prices](https://docs.seldon.ai/alibi-explain/explanations/examples/accumulated-local-effets/ale_regression_california.md)
- [Anchors](https://docs.seldon.ai/alibi-explain/explanations/examples/anchors.md)
- [Anchor explanations for fashion MNIST](https://docs.seldon.ai/alibi-explain/explanations/examples/anchors/anchor_image_fashion_mnist.md)
- [Anchor explanations for ImageNet](https://docs.seldon.ai/alibi-explain/explanations/examples/anchors/anchor_image_imagenet.md)
- [Anchor explanations for income prediction](https://docs.seldon.ai/alibi-explain/explanations/examples/anchors/anchor_tabular_adult.md)
- [Anchor explanations on the Iris dataset](https://docs.seldon.ai/alibi-explain/explanations/examples/anchors/anchor_tabular_iris.md)
- [Anchor explanations for movie sentiment](https://docs.seldon.ai/alibi-explain/explanations/examples/anchors/anchor_text_movie.md)
- [Contrastive Explanation Method](https://docs.seldon.ai/alibi-explain/explanations/examples/contrastive-explanation-method.md)
- [Contrastive Explanations Method (CEM) applied to Iris dataset](https://docs.seldon.ai/alibi-explain/explanations/examples/contrastive-explanation-method/cem_iris.md)
- [Contrastive Explanations Method (CEM) applied to MNIST](https://docs.seldon.ai/alibi-explain/explanations/examples/contrastive-explanation-method/cem_mnist.md)
- [Counterfactual Instances on MNIST](https://docs.seldon.ai/alibi-explain/explanations/examples/cf_mnist.md)
- [Counterfactuals Guided by Prototypes](https://docs.seldon.ai/alibi-explain/explanations/examples/counterfactuals-guided-by-prototypes.md)
- [Counterfactual explanations with one-hot encoded categorical variables](https://docs.seldon.ai/alibi-explain/explanations/examples/counterfactuals-guided-by-prototypes/cfproto_cat_adult_ohe.md)
- [Counterfactual explanations with ordinally encoded categorical variables](https://docs.seldon.ai/alibi-explain/explanations/examples/counterfactuals-guided-by-prototypes/cfproto_cat_adult_ord.md)
- [Counterfactuals guided by prototypes on California housing dataset](https://docs.seldon.ai/alibi-explain/explanations/examples/counterfactuals-guided-by-prototypes/cfproto_housing.md)
- [Counterfactuals guided by prototypes on MNIST](https://docs.seldon.ai/alibi-explain/explanations/examples/counterfactuals-guided-by-prototypes/cfproto_mnist.md)
- [Counterfactuals with Reinforcement Learning](https://docs.seldon.ai/alibi-explain/explanations/examples/counterfactuals-with-reinforcement-learning.md)
- [Counterfactual with Reinforcement Learning (CFRL) on Adult Census](https://docs.seldon.ai/alibi-explain/explanations/examples/counterfactuals-with-reinforcement-learning/cfrl_adult.md)
- [Counterfactual with Reinforcement Learning (CFRL) on MNIST](https://docs.seldon.ai/alibi-explain/explanations/examples/counterfactuals-with-reinforcement-learning/cfrl_mnist.md)
- [Integrated Gradients](https://docs.seldon.ai/alibi-explain/explanations/examples/integrated-gradients.md)
- [Integrated gradients for a ResNet model trained on Imagenet dataset](https://docs.seldon.ai/alibi-explain/explanations/examples/integrated-gradients/integrated_gradients_imagenet.md)
- [Integrated gradients for text classification on the IMDB dataset](https://docs.seldon.ai/alibi-explain/explanations/examples/integrated-gradients/integrated_gradients_imdb.md)
- [Integrated gradients for MNIST](https://docs.seldon.ai/alibi-explain/explanations/examples/integrated-gradients/integrated_gradients_mnist.md)
- [Integrated gradients for transformers models](https://docs.seldon.ai/alibi-explain/explanations/examples/integrated-gradients/integrated_gradients_transformers.md)
- [Kernel SHAP](https://docs.seldon.ai/alibi-explain/explanations/examples/kernel-shap.md)
- [Distributed KernelSHAP](https://docs.seldon.ai/alibi-explain/explanations/examples/kernel-shap/distributed_kernel_shap_adult_lr.md)
- [KernelSHAP: combining preprocessor and predictor](https://docs.seldon.ai/alibi-explain/explanations/examples/kernel-shap/kernel_shap_adult_categorical_preproc.md)
- [Handling categorical variables with KernelSHAP](https://docs.seldon.ai/alibi-explain/explanations/examples/kernel-shap/kernel_shap_adult_lr.md)
- [Kernel SHAP explanation for SVM models](https://docs.seldon.ai/alibi-explain/explanations/examples/kernel-shap/kernel_shap_wine_intro.md)
- [Kernel SHAP explanation for multinomial logistic regression models](https://docs.seldon.ai/alibi-explain/explanations/examples/kernel-shap/kernel_shap_wine_lr.md)
- [Partial Dependence](https://docs.seldon.ai/alibi-explain/explanations/examples/partial-dependence.md)
- [Partial Dependence and Individual Conditional Expectation for predicting bike renting](https://docs.seldon.ai/alibi-explain/explanations/examples/partial-dependence/pdp_regression_bike.md)
- [Partial Dependence Variance](https://docs.seldon.ai/alibi-explain/explanations/examples/partial-dependence-variance.md)
- [Feature importance and feature interaction based on partial dependece variance](https://docs.seldon.ai/alibi-explain/explanations/examples/partial-dependence-variance/pd_variance_regression_friedman.md)
- [Permutation Importance](https://docs.seldon.ai/alibi-explain/explanations/examples/permutation-importance.md)
- [Permutation Feature Importance on “Who’s Going to Leave Next?”](https://docs.seldon.ai/alibi-explain/explanations/examples/permutation-importance/permutation_importance_classification_leave.md)
- [Similarity explanations](https://docs.seldon.ai/alibi-explain/explanations/examples/similarity-explanations.md)
- [Similarity explanations for 20 newsgroups dataset](https://docs.seldon.ai/alibi-explain/explanations/examples/similarity-explanations/similarity_explanations_20ng.md)
- [Similarity explanations for ImageNet](https://docs.seldon.ai/alibi-explain/explanations/examples/similarity-explanations/similarity_explanations_imagenet.md)
- [Similarity explanations for MNIST](https://docs.seldon.ai/alibi-explain/explanations/examples/similarity-explanations/similarity_explanations_mnist.md)
- [Tree SHAP](https://docs.seldon.ai/alibi-explain/explanations/examples/tree-shap.md)
- [Explaining Tree Models with Interventional Feature Perturbation Tree SHAP](https://docs.seldon.ai/alibi-explain/explanations/examples/tree-shap/interventional_tree_shap_adult_xgb.md)
- [Explaining Tree Models with Path-Dependent Feature Perturbation Tree SHAP](https://docs.seldon.ai/alibi-explain/explanations/examples/tree-shap/path_dependent_tree_shap_adult_xgb.md)