ELI5
0.11.0
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Index
B
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C
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D
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E
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F
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G
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H
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I
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M
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N
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P
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R
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S
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T
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U
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V
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W
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X
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Y
B
BaseSampler (class in eli5.lime.samplers)
C
clf_ (TextExplainer attribute)
column_signs_ (InvertableHashingVectorizer attribute)
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.keras.explain_prediction (module)
eli5.keras.gradcam (module)
eli5.lightgbm (module)
eli5.lightning (module)
eli5.lime (module)
eli5.lime.lime (module)
eli5.lime.samplers (module)
eli5.lime.textutils (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_keras() (in module eli5.keras.explain_prediction)
explain_prediction_keras_image() (in module eli5.keras.explain_prediction)
explain_prediction_keras_not_supported() (in module eli5.keras.explain_prediction)
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_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() (InvertableHashingVectorizer method)
get_score_importances() (in module eli5.permutation_importance)
get_weight_range() (in module eli5.formatters.html)
gradcam() (in module eli5.keras.gradcam)
gradcam_backend() (in module eli5.keras.gradcam)
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)
MultivariateKernelDensitySampler (class in eli5.lime.samplers)
N
NodeInfo (class in eli5.base)
P
PermutationImportance (class in eli5.sklearn.permutation_importance)
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)
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)
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)
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