# 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) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.seldon.ai/alibi-explain/explanations/examples.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.