Responsible AI Mitigations
Overview
Installation guide
Getting Started
How this library works with the Responsible AI Toolbox
API reference
Gallery
Modules
DataProcessing
DataBalanceAnalysis
Cohort
Utils
Responsible AI Mitigations
Index
Edit on GitHub
Index
A
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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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I
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K
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M
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O
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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
A
add_results_df() (in module case_study_utils)
AGGREGATE_METRICS (raimitigations.databalanceanalysis.aggregate_measures.AggregateBalanceMeasure attribute)
AggregateBalanceMeasure (class in raimitigations.databalanceanalysis.aggregate_measures)
artificial_ctgan() (in module case_study_utils)
artificial_smote() (in module case_study_utils)
B
BasicImputer (class in raimitigations.dataprocessing)
C
case_study_utils
module
CatBoostSelection (class in raimitigations.dataprocessing)
check_valid_df() (raimitigations.cohort.CohortDefinition method)
CLASS_A (raimitigations.databalanceanalysis.feature_measures.FeatureBalanceMeasure attribute)
CLASS_B (raimitigations.databalanceanalysis.feature_measures.FeatureBalanceMeasure attribute)
CohortDefinition (class in raimitigations.cohort)
CohortHandler (class in raimitigations.cohort)
CohortManager (class in raimitigations.cohort)
CorrelatedFeatures (class in raimitigations.dataprocessing)
create_dummy_dataset() (in module raimitigations.utils.toy_dataset_corr)
create_query_remaining_instances_cohort() (raimitigations.cohort.CohortDefinition method)
D
DataEncoding (class in raimitigations.dataprocessing)
DataImputer (class in raimitigations.dataprocessing)
DataMinMaxScaler (class in raimitigations.dataprocessing)
DataNormalizer (class in raimitigations.dataprocessing)
DataPowerTransformer (class in raimitigations.dataprocessing)
DataProcessing (class in raimitigations.dataprocessing)
DataQuantileTransformer (class in raimitigations.dataprocessing)
DataRobustScaler (class in raimitigations.dataprocessing)
DataScaler (class in raimitigations.dataprocessing)
DataStandardScaler (class in raimitigations.dataprocessing)
DecoupledClass (class in raimitigations.cohort)
DISTRIBUTION_METRICS (raimitigations.databalanceanalysis.distribution_measures.DistributionBalanceMeasure attribute)
DistributionBalanceMeasure (class in raimitigations.databalanceanalysis.distribution_measures)
E
EncoderOHE (class in raimitigations.dataprocessing)
EncoderOrdinal (class in raimitigations.dataprocessing)
err_float_01() (in module raimitigations.utils.data_utils)
evaluate_set() (in module raimitigations.utils.model_utils)
F
FEATURE_METRICS (raimitigations.databalanceanalysis.feature_measures.FeatureBalanceMeasure attribute)
feature_selection() (in module case_study_utils)
FeatureBalanceMeasure (class in raimitigations.databalanceanalysis.feature_measures)
FeatureSelection (class in raimitigations.dataprocessing)
fetch_cohort_results() (in module raimitigations.cohort.utils)
fit() (raimitigations.cohort.CohortManager method)
(raimitigations.cohort.DecoupledClass method)
(raimitigations.dataprocessing.DataEncoding method)
(raimitigations.dataprocessing.DataImputer method)
(raimitigations.dataprocessing.DataScaler method)
(raimitigations.dataprocessing.FeatureSelection method)
(raimitigations.dataprocessing.Synthesizer method)
fit_resample() (raimitigations.cohort.CohortManager method)
(raimitigations.dataprocessing.Rebalance method)
(raimitigations.dataprocessing.Synthesizer method)
freedman_diaconis() (in module raimitigations.utils.data_utils)
G
get_cat_cols() (in module raimitigations.utils.data_utils)
get_cohort_subset() (raimitigations.cohort.CohortDefinition method)
get_correlated_pairs() (raimitigations.dataprocessing.CorrelatedFeatures method)
get_encoded_columns() (raimitigations.dataprocessing.DataEncoding method)
get_mapping() (raimitigations.dataprocessing.EncoderOrdinal method)
get_metrics() (in module raimitigations.utils.metric_utils)
get_one_hot_columns() (raimitigations.dataprocessing.EncoderOHE method)
get_queries() (raimitigations.cohort.CohortHandler method)
get_selected_features() (raimitigations.dataprocessing.FeatureSelection method)
get_subsets() (raimitigations.cohort.CohortHandler method)
get_summary() (raimitigations.dataprocessing.CatBoostSelection method)
(raimitigations.dataprocessing.CorrelatedFeatures method)
(raimitigations.dataprocessing.SeqFeatSelection method)
get_threasholds_dict() (raimitigations.cohort.DecoupledClass method)
I
inverse_transform() (raimitigations.dataprocessing.DataProcessing method)
IterativeDataImputer (class in raimitigations.dataprocessing)
K
KNNDataImputer (class in raimitigations.dataprocessing)
M
measures() (raimitigations.databalanceanalysis.aggregate_measures.AggregateBalanceMeasure method)
(raimitigations.databalanceanalysis.distribution_measures.DistributionBalanceMeasure method)
(raimitigations.databalanceanalysis.feature_measures.FeatureBalanceMeasure method)
module
case_study_utils
raimitigations.cohort.utils
raimitigations.databalanceanalysis.aggregate_measures
raimitigations.databalanceanalysis.distribution_measures
raimitigations.databalanceanalysis.feature_measures
raimitigations.utils.data_utils
raimitigations.utils.metric_utils
raimitigations.utils.model_utils
raimitigations.utils.toy_dataset_corr
O
ordinal_to_onehot() (in module raimitigations.utils.data_utils)
OVERALL_METRICS (raimitigations.databalanceanalysis.feature_measures.FeatureBalanceMeasure attribute)
P
plot_results() (in module case_study_utils)
predict() (raimitigations.cohort.CohortManager method)
(raimitigations.cohort.DecoupledClass method)
predict_proba() (raimitigations.cohort.CohortManager method)
(raimitigations.cohort.DecoupledClass method)
print_cohorts() (raimitigations.cohort.DecoupledClass method)
R
raimitigations.cohort.utils
module
raimitigations.databalanceanalysis.aggregate_measures
module
raimitigations.databalanceanalysis.distribution_measures
module
raimitigations.databalanceanalysis.feature_measures
module
raimitigations.utils.data_utils
module
raimitigations.utils.metric_utils
module
raimitigations.utils.model_utils
module
raimitigations.utils.toy_dataset_corr
module
Rebalance (class in raimitigations.dataprocessing)
remove_corr_feat() (in module case_study_utils)
require_remaining_index() (raimitigations.cohort.CohortDefinition method)
result_statistics() (in module case_study_utils)
S
sample() (raimitigations.dataprocessing.Synthesizer method)
save() (raimitigations.cohort.CohortDefinition method)
save_cohorts() (raimitigations.cohort.CohortHandler method)
SeqFeatSelection (class in raimitigations.dataprocessing)
set_selected_features() (raimitigations.dataprocessing.FeatureSelection method)
split_data() (in module raimitigations.utils.model_utils)
Synthesizer (class in raimitigations.dataprocessing)
T
train_model_fetch_results() (in module raimitigations.utils.model_utils)
train_model_plot_results() (in module raimitigations.utils.model_utils)
transform() (raimitigations.cohort.CohortManager method)
(raimitigations.dataprocessing.DataEncoding method)
(raimitigations.dataprocessing.DataImputer method)
(raimitigations.dataprocessing.DataScaler method)
(raimitigations.dataprocessing.FeatureSelection method)
transform_num_data() (in module case_study_utils)
U
update_selected_features() (raimitigations.dataprocessing.CorrelatedFeatures method)