Index

A

aggregate() (in module redflag.utils)

B

BaseRedflagDetector (class in redflag.sklearn) best_distribution() (in module redflag.distributions)

bool_to_index() (in module redflag.utils) bw_scott() (in module redflag.distributions) bw_silverman() (in module redflag.distributions)

C

chi_squared() (redflag.markov.Markov_chain method) class_counts() (in module redflag.imbalance) ClipDetector (class in redflag.sklearn) clipped() (in module redflag.utils)

consecutive() (in module redflag.utils) correlation_detector() (redflag.pandas.DataFrameAccessor method) CorrelationDetector (class in redflag.sklearn) cv() (in module redflag.utils) cv_kde() (in module redflag.distributions)

D

DataFrameAccessor (class in redflag.pandas) degrees_of_freedom (redflag.markov.Markov_chain property) deprecated() (in module redflag.utils) Detector (class in redflag.sklearn) DistributionComparator (class in redflag.sklearn) divergence() (in module redflag.imbalance)

docstring_from() (in module redflag.utils) dummy_classification_scores() (in module redflag.target) dummy_regression_scores() (in module redflag.target) dummy_scores() (in module redflag.target) (redflag.pandas.SeriesAccessor method) DummyPredictor (class in redflag.sklearn)

E

ecdf() (in module redflag.utils) empirical_distribution() (in module redflag.imbalance)

expected_freqs (redflag.markov.Markov_chain property) expected_outliers() (in module redflag.outliers)

F

feature_importances() (in module redflag.importance) (redflag.pandas.DataFrameAccessor method) find_large_peaks() (in module redflag.distributions) fit() (redflag.sklearn.BaseRedflagDetector method) (redflag.sklearn.DistributionComparator method) (redflag.sklearn.DummyPredictor method) (redflag.sklearn.ImbalanceComparator method) (redflag.sklearn.ImbalanceDetector method) (redflag.sklearn.ImportanceDetector method) (redflag.sklearn.InsufficientDataDetector method) (redflag.sklearn.MultimodalityDetector method) (redflag.sklearn.MultivariateOutlierDetector method) (redflag.sklearn.OutlierDetector method)

fit_kde() (in module redflag.distributions) fit_transform() (redflag.sklearn.BaseRedflagDetector method) (redflag.sklearn.DistributionComparator method) (redflag.sklearn.ImbalanceComparator method) (redflag.sklearn.InsufficientDataDetector method) (redflag.sklearn.MultivariateOutlierDetector method) (redflag.sklearn.OutlierDetector method) flatten() (in module redflag.utils) formatwarning() (in module redflag.sklearn) from_sequence() (redflag.markov.Markov_chain class method) furthest_distribution() (in module redflag.imbalance)

G

generate_data() (in module redflag.utils) generate_states() (redflag.markov.Markov_chain method)

get_idx() (in module redflag.utils) get_kde() (in module redflag.distributions) get_outliers() (in module redflag.outliers)

H

has_few_samples() (in module redflag.utils) has_flat() (in module redflag.utils) has_monotonic() (in module redflag.utils)

has_nans() (in module redflag.utils) has_outliers() (in module redflag.outliers) hollow_matrix() (in module redflag.markov)

I

imbalance_degree() (in module redflag.imbalance) (redflag.pandas.SeriesAccessor method) imbalance_ratio() (in module redflag.imbalance) ImbalanceComparator (class in redflag.sklearn) ImbalanceDetector (class in redflag.sklearn) ImportanceDetector (class in redflag.sklearn) index_to_bool() (in module redflag.utils) InsufficientDataDetector (class in redflag.sklearn) is_binary() (in module redflag.target) is_clipped() (in module redflag.utils) is_continuous() (in module redflag.target)

is_correlated() (in module redflag.independence) is_imbalanced() (in module redflag.imbalance) (redflag.pandas.SeriesAccessor method) is_multiclass() (in module redflag.target) is_multimodal() (in module redflag.distributions) is_multioutput() (in module redflag.target) is_numeric() (in module redflag.utils) is_ordered() (in module redflag.target) (redflag.pandas.SeriesAccessor method) is_standard_normal() (in module redflag.utils) is_standardized() (in module redflag.utils) iter_groups() (in module redflag.utils)

K

kde_peaks() (in module redflag.distributions)

L

least_important_features() (in module redflag.importance)

M

mahalanobis() (in module redflag.outliers) mahalanobis_outliers() (in module redflag.outliers) major_minor() (in module redflag.imbalance) make_detector_pipeline() (in module redflag.sklearn) make_rf_pipeline() (in module redflag.sklearn) Markov_chain (class in redflag.markov) minority_classes() (in module redflag.imbalance) (redflag.pandas.SeriesAccessor method) module redflag redflag.distributions redflag.imbalance redflag.importance redflag.independence redflag.markov redflag.outliers redflag.pandas redflag.sklearn redflag.target redflag.utils

most_important_features() (in module redflag.importance) MultimodalityDetector (class in redflag.sklearn) MultivariateOutlierDetector (class in redflag.sklearn)

N

n_classes() (in module redflag.target)

normalized_difference (redflag.markov.Markov_chain property) null_decorator() (in module redflag.pandas)

O

observations() (in module redflag.markov) observed_freqs (redflag.markov.Markov_chain property)

ordered_unique() (in module redflag.utils) OutlierDetector (class in redflag.sklearn)

P

proportion_to_stdev() (in module redflag.utils)

R

redflag module redflag.distributions module redflag.imbalance module redflag.importance module redflag.independence module redflag.markov module

redflag.outliers module redflag.pandas module redflag.sklearn module redflag.target module redflag.utils module regularize() (in module redflag.markov) report() (redflag.pandas.SeriesAccessor method) RfPipeline (class in redflag.sklearn)

S

SeriesAccessor (class in redflag.pandas)

split_and_standardize() (in module redflag.utils) stdev_to_proportion() (in module redflag.utils)

T

transform() (redflag.sklearn.BaseRedflagDetector method) (redflag.sklearn.DistributionComparator method) (redflag.sklearn.DummyPredictor method) (redflag.sklearn.ImbalanceComparator method) (redflag.sklearn.ImbalanceDetector method) (redflag.sklearn.ImportanceDetector method) (redflag.sklearn.InsufficientDataDetector method) (redflag.sklearn.MultimodalityDetector method) (redflag.sklearn.MultivariateOutlierDetector method) (redflag.sklearn.OutlierDetector method) (redflag.sklearn.RfPipeline method)

U

UnivariateOutlierDetector (class in redflag.sklearn)

update_p() (in module redflag.utils)

W

wasserstein() (in module redflag.distributions)

wasserstein_ovo() (in module redflag.distributions) wasserstein_ovr() (in module redflag.distributions)

Z

zscore() (in module redflag.utils)