redflag package

Submodules

• redflag.distributions module
  • best_distribution()
  • bw_scott()
  • bw_silverman()
  • cv_kde()
  • find_large_peaks()
  • fit_kde()
  • get_kde()
  • is_multimodal()
  • kde_peaks()
  • wasserstein()
  • wasserstein_ovo()
  • wasserstein_ovr()
• redflag.imbalance module
  • class_counts()
  • divergence()
  • empirical_distribution()
  • furthest_distribution()
  • imbalance_degree()
  • imbalance_ratio()
  • is_imbalanced()
  • major_minor()
  • minority_classes()
• redflag.importance module
  • feature_importances()
  • least_important_features()
  • most_important_features()
• redflag.independence module
  • is_correlated()
• redflag.markov module
  • Markov_chain
    • Markov_chain.chi_squared()
    • Markov_chain.degrees_of_freedom
    • Markov_chain.expected_freqs
    • Markov_chain.from_sequence()
    • Markov_chain.generate_states()
    • Markov_chain.normalized_difference
    • Markov_chain.observed_freqs
  • hollow_matrix()
  • observations()
  • regularize()
• redflag.outliers module
  • expected_outliers()
  • get_outliers()
  • has_outliers()
  • mahalanobis()
  • mahalanobis_outliers()
• redflag.pandas module
  • DataFrameAccessor
    • DataFrameAccessor.correlation_detector()
    • DataFrameAccessor.feature_importances()
  • SeriesAccessor
    • SeriesAccessor.dummy_scores()
    • SeriesAccessor.imbalance_degree()
    • SeriesAccessor.is_imbalanced()
    • SeriesAccessor.is_ordered()
    • SeriesAccessor.minority_classes()
    • SeriesAccessor.report()
  • null_decorator()
• redflag.sklearn module
  • BaseRedflagDetector
    • BaseRedflagDetector.fit()
    • BaseRedflagDetector.fit_transform()
    • BaseRedflagDetector.transform()
  • ClipDetector
  • CorrelationDetector
  • Detector
  • DistributionComparator
    • DistributionComparator.fit()
    • DistributionComparator.fit_transform()
    • DistributionComparator.transform()
  • DummyPredictor
    • DummyPredictor.fit()
    • DummyPredictor.transform()
  • ImbalanceComparator
    • ImbalanceComparator.fit()
    • ImbalanceComparator.fit_transform()
    • ImbalanceComparator.transform()
  • ImbalanceDetector
    • ImbalanceDetector.fit()
    • ImbalanceDetector.transform()
  • ImportanceDetector
    • ImportanceDetector.fit()
    • ImportanceDetector.transform()
  • InsufficientDataDetector
    • InsufficientDataDetector.fit()
    • InsufficientDataDetector.fit_transform()
    • InsufficientDataDetector.transform()
  • MultimodalityDetector
    • MultimodalityDetector.fit()
    • MultimodalityDetector.transform()
  • MultivariateOutlierDetector
    • MultivariateOutlierDetector.fit()
    • MultivariateOutlierDetector.fit_transform()
    • MultivariateOutlierDetector.transform()
  • OutlierDetector
    • OutlierDetector.fit()
    • OutlierDetector.fit_transform()
    • OutlierDetector.transform()
  • RfPipeline
    • RfPipeline.transform()
  • UnivariateOutlierDetector
  • formatwarning()
  • make_detector_pipeline()
  • make_rf_pipeline()
• redflag.target module
  • dummy_classification_scores()
  • dummy_regression_scores()
  • dummy_scores()
  • is_binary()
  • is_continuous()
  • is_multiclass()
  • is_multioutput()
  • is_ordered()
  • n_classes()
• redflag.utils module
  • aggregate()
  • bool_to_index()
  • clipped()
  • consecutive()
  • cv()
  • deprecated()
  • docstring_from()
  • ecdf()
  • flatten()
  • generate_data()
  • get_idx()
  • has_few_samples()
  • has_flat()
  • has_monotonic()
  • has_nans()
  • index_to_bool()
  • is_clipped()
  • is_numeric()
  • is_standard_normal()
  • is_standardized()
  • iter_groups()
  • ordered_unique()
  • proportion_to_stdev()
  • split_and_standardize()
  • stdev_to_proportion()
  • update_p()
  • zscore()

Module contents