ELI5
latest
Overview
Tutorials
Supported Libraries
Inspecting Black-Box Estimators
API
Contributing
Changelog
ELI5
Docs
»
Index
Edit on GitHub
Index
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
M
|
N
|
P
|
R
|
S
|
T
|
U
|
V
|
W
|
X
|
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)
Read the Docs
v: latest
Versions
latest
stable
0.11.0
0.6.3
0.6.2
0.6.1
0.6
0.5
0.4.2
0.4.1
0.4
0.3.1
0.3
0.2
Downloads
pdf
html
epub
On Read the Docs
Project Home
Builds
Free document hosting provided by
Read the Docs
.