Data Science Utils
Contents:
Installation Guide
AI Coding Skills
Math Utils
Metrics
Preprocess
Strings
Transformers
Unsupervised
XAI (Explainable AI)
Contributing
Data Science Utils
Index
Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
M
|
P
|
R
|
S
|
T
|
V
A
append_tags_to_frame() (in module ds_utils.strings)
B
built-in function
ds_utils.xai.generate_decision_paths()
C
compute_mutual_information() (in module ds_utils.preprocess.statistics)
D
directional_accuracy_score() (in module ds_utils.metrics.time_series)
directional_bias_score() (in module ds_utils.metrics.time_series)
draw_dot_data() (in module ds_utils.xai)
draw_tree() (in module ds_utils.xai)
ds_utils.xai.generate_decision_paths()
built-in function
E
extract_significant_terms_from_subset() (in module ds_utils.strings)
extract_statistics_dataframe_per_label() (in module ds_utils.preprocess.statistics)
F
fit() (ds_utils.transformers.multi_label_binarizer.MultiLabelBinarizerTransformer method)
(ds_utils.transformers.sentence_embedding.SentenceEmbeddingTransformer method)
G
generate_error_analysis_report() (in module ds_utils.metrics.error_analysis)
get_correlated_features() (in module ds_utils.preprocess.statistics)
get_feature_names_out() (ds_utils.transformers.multi_label_binarizer.MultiLabelBinarizerTransformer method)
(ds_utils.transformers.sentence_embedding.SentenceEmbeddingTransformer method)
M
MultiLabelBinarizerTransformer (class in ds_utils.transformers.multi_label_binarizer)
P
plot_cluster_cardinality() (in module ds_utils.unsupervised)
plot_cluster_magnitude() (in module ds_utils.unsupervised)
plot_confusion_matrix() (in module ds_utils.metrics.confusion_matrix)
plot_correlation_dendrogram() (in module ds_utils.preprocess.visualization)
plot_error_analysis_chart() (in module ds_utils.metrics.probability_analysis)
plot_features_importance() (in module ds_utils.xai)
plot_features_interaction() (in module ds_utils.preprocess.visualization)
plot_loss_vs_cluster_number() (in module ds_utils.unsupervised)
plot_magnitude_vs_cardinality() (in module ds_utils.unsupervised)
plot_metric_growth_per_labeled_instances() (in module ds_utils.metrics.learning_curves)
plot_pca_explained_variance() (in module ds_utils.preprocess.visualization)
plot_precision_recall_curve_with_thresholds_annotations() (in module ds_utils.metrics.curves)
plot_rec_curve_with_annotations() (in module ds_utils.metrics.regression)
plot_roc_curve_with_thresholds_annotations() (in module ds_utils.metrics.curves)
R
regression_auc_score() (in module ds_utils.metrics.regression)
S
safe_percentile() (in module ds_utils.math_utils)
SentenceEmbeddingTransformer (class in ds_utils.transformers.sentence_embedding)
set_params() (ds_utils.transformers.sentence_embedding.SentenceEmbeddingTransformer method)
T
transform() (ds_utils.transformers.multi_label_binarizer.MultiLabelBinarizerTransformer method)
(ds_utils.transformers.sentence_embedding.SentenceEmbeddingTransformer method)
V
visualize_accuracy_grouped_by_probability() (in module ds_utils.metrics.probability_analysis)
visualize_correlations() (in module ds_utils.preprocess.visualization)
visualize_feature() (in module ds_utils.preprocess.visualization)