Index

B

BaseSampler (class in eli5.lime.samplers)

C

clf_ (TextExplainer attribute)

column_signs_ (InvertableHashingVectorizer property) cosine_similarity_vec() (in module eli5.lime.textutils)

D

DocWeightedSpans (class in eli5.base)

E

eli5 module eli5.base module eli5.catboost module eli5.formatters module eli5.formatters.as_dataframe module eli5.formatters.as_dict module eli5.formatters.html module eli5.formatters.image module eli5.formatters.text module eli5.lightgbm module eli5.lightning module eli5.lime module eli5.lime.lime module eli5.lime.samplers module eli5.lime.textutils module eli5.llm.explain_prediction module eli5.permutation_importance module eli5.sklearn.explain_prediction module eli5.sklearn.explain_weights module eli5.sklearn.permutation_importance module eli5.sklearn.unhashing module

eli5.sklearn_crfsuite.explain_weights module eli5.xgboost module estimator_ (PermutationImportance attribute) expand_heatmap() (in module eli5.formatters.image) explain_decision_tree() (in module eli5.sklearn.explain_weights) explain_linear_classifier_weights() (in module eli5.sklearn.explain_weights) explain_linear_regressor_weights() (in module eli5.sklearn.explain_weights) explain_permutation_importance() (in module eli5.sklearn.explain_weights) explain_prediction() (in module eli5) (TextExplainer method) explain_prediction_df() (in module eli5) (in module eli5.formatters.as_dataframe) explain_prediction_dfs() (in module eli5) (in module eli5.formatters.as_dataframe) explain_prediction_lightgbm() (in module eli5.lightgbm) explain_prediction_lightning() (in module eli5.lightning) explain_prediction_linear_classifier() (in module eli5.sklearn.explain_prediction) explain_prediction_linear_regressor() (in module eli5.sklearn.explain_prediction) explain_prediction_openai_client() (in module eli5.llm.explain_prediction) explain_prediction_openai_completion() (in module eli5.llm.explain_prediction) explain_prediction_openai_logprobs() (in module eli5.llm.explain_prediction) explain_prediction_sklearn() (in module eli5.sklearn.explain_prediction) explain_prediction_tree_classifier() (in module eli5.sklearn.explain_prediction) explain_prediction_tree_regressor() (in module eli5.sklearn.explain_prediction) explain_prediction_xgboost() (in module eli5.xgboost) explain_rf_feature_importance() (in module eli5.sklearn.explain_weights) explain_weights() (in module eli5) (TextExplainer method) explain_weights_catboost() (in module eli5.catboost) explain_weights_df() (in module eli5) (in module eli5.formatters.as_dataframe) explain_weights_dfs() (in module eli5) (in module eli5.formatters.as_dataframe) explain_weights_lightgbm() (in module eli5.lightgbm) explain_weights_lightning() (in module eli5.lightning) explain_weights_sklearn() (in module eli5.sklearn.explain_weights) explain_weights_sklearn_crfsuite() (in module eli5.sklearn_crfsuite.explain_weights) explain_weights_xgboost() (in module eli5.xgboost) Explanation (class in eli5.base)

F

feature_importances_ (PermutationImportance attribute) feature_importances_std_ (PermutationImportance attribute) FeatureImportances (class in eli5.base) FeatureUnhasher (class in eli5.sklearn.unhashing) FeatureWeights (class in eli5.base) filter_transition_coefs() (in module eli5.sklearn_crfsuite.explain_weights) fit() (BaseSampler method) (InvertableHashingVectorizer method) (MultivariateKernelDensitySampler method) (PermutationImportance method) (TextExplainer method) (UnivariateKernelDensitySampler method) format_as_dataframe() (in module eli5) (in module eli5.formatters.as_dataframe)

format_as_dataframes() (in module eli5) (in module eli5.formatters.as_dataframe) format_as_dict() (in module eli5) (in module eli5.formatters.as_dict) format_as_html() (in module eli5) (in module eli5.formatters.html) format_as_image() (in module eli5) (in module eli5.formatters.image) format_as_text() (in module eli5) (in module eli5.formatters.text) format_hsl() (in module eli5.formatters.html) format_html_styles() (in module eli5.formatters.html)

G

generate_samples() (in module eli5.lime.textutils) get_feature_names_out() (InvertableHashingVectorizer method)

get_score_importances() (in module eli5.permutation_importance) get_weight_range() (in module eli5.formatters.html)

H

handle_hashing_vec() (in module eli5.sklearn.unhashing)

heatmap_to_image() (in module eli5.formatters.image)

I

invert_hashing_and_fit() (in module eli5.sklearn.unhashing)

InvertableHashingVectorizer (class in eli5.sklearn.unhashing) iter_shuffled() (in module eli5.permutation_importance)

M

MaskingTextSampler (class in eli5.lime.samplers) MaskingTextSamplers (class in eli5.lime.samplers) metrics_ (TextExplainer attribute) module eli5 eli5.base eli5.catboost eli5.formatters eli5.formatters.as_dataframe eli5.formatters.as_dict eli5.formatters.html eli5.formatters.image eli5.formatters.text eli5.lightgbm eli5.lightning eli5.lime eli5.lime.lime eli5.lime.samplers eli5.lime.textutils eli5.llm.explain_prediction eli5.permutation_importance eli5.sklearn.explain_prediction eli5.sklearn.explain_weights eli5.sklearn.permutation_importance eli5.sklearn.unhashing eli5.sklearn_crfsuite.explain_weights eli5.xgboost

MultivariateKernelDensitySampler (class in eli5.lime.samplers)

N

NodeInfo (class in eli5.base)

P

PermutationImportance (class in eli5.sklearn.permutation_importance)

probability_color_hsl() (in module eli5.formatters.html)

R

recalculate_attributes() (FeatureUnhasher method) remaining_weight_color_hsl() (in module eli5.formatters.html) render_targets_weighted_spans() (in module eli5.formatters.html)

results_ (PermutationImportance attribute) rng_ (PermutationImportance attribute) (TextExplainer attribute)

S

sample_near() (BaseSampler method) (MaskingTextSampler method) (MaskingTextSamplers method) (MultivariateKernelDensitySampler method) (UnivariateKernelDensitySampler method) sample_near_with_mask() (MaskingTextSampler method) (MaskingTextSamplers method) samples_ (TextExplainer attribute)

scores_ (PermutationImportance attribute) set_fit_request() (PermutationImportance method) (TextExplainer method) show_prediction() (in module eli5) (TextExplainer method) show_weights() (in module eli5) (TextExplainer method) similarity_ (TextExplainer attribute) sorted_for_ner() (in module eli5.sklearn_crfsuite.explain_weights)

T

TargetExplanation (class in eli5.base) TextExplainer (class in eli5.lime.lime) transform_feature_names() (in module eli5)

transformed_probability() (in module eli5.formatters.html) TransitionFeatureWeights (class in eli5.base) TreeInfo (class in eli5.base)

U

UnivariateKernelDensitySampler (class in eli5.lime.samplers)

V

vec_ (TextExplainer attribute)

W

weight_color_hsl() (in module eli5.formatters.html)

WeightedSpans (class in eli5.base)

X

X_ (TextExplainer attribute)

Y

y_proba_ (TextExplainer attribute)