Index

A

accuracy (dataclr.results.ResultPerformance attribute)

ANOVA (class in dataclr.methods)

B

BaseModel (class in dataclr.models)

BorutaMethod (class in dataclr.methods)

C

Chi2 (class in dataclr.methods) CohensD (class in dataclr.methods)

CramersV (class in dataclr.methods) CumulativeDistributionFunction (class in dataclr.methods)

D

dataclr.feature_selector module dataclr.methods module, [1] dataclr.metrics module

dataclr.models module, [1] dataclr.results module, [1] DistanceCorrelation (class in dataclr.methods)

E

Entropy (class in dataclr.methods)

F

f1 (dataclr.results.ResultPerformance attribute) feature_list (dataclr.results.Result attribute) FeatureSelector (class in dataclr.feature_selector) FilterMethod (class in dataclr.methods) fit() (dataclr.methods.ANOVA method) (dataclr.methods.BorutaMethod method) (dataclr.methods.Chi2 method) (dataclr.methods.CohensD method) (dataclr.methods.CramersV method) (dataclr.methods.CumulativeDistributionFunction method) (dataclr.methods.DistanceCorrelation method) (dataclr.methods.Entropy method) (dataclr.methods.HyperoptMethod method) (dataclr.methods.KendallCorrelation method) (dataclr.methods.Kurtosis method) (dataclr.methods.LinearCorrelation method) (dataclr.methods.MaximalInformationCoefficient method) (dataclr.methods.MeanAbsoluteDeviation method) (dataclr.methods.Method method) (dataclr.methods.mRMR method) (dataclr.methods.MutualInformation method) (dataclr.methods.OptunaMethod method) (dataclr.methods.RecursiveFeatureAddition method) (dataclr.methods.RecursiveFeatureElimination method) (dataclr.methods.ShapMethod method) (dataclr.methods.Skewness method) (dataclr.methods.SpearmanCorrelation method) (dataclr.methods.VarianceInflationFactor method) (dataclr.methods.VarianceThreshold method) (dataclr.methods.ZScore method) (dataclr.models.BaseModel method)

fit_transform() (dataclr.methods.Method method) (dataclr.methods.ShapMethod method)

H

HyperoptMethod (class in dataclr.methods)

K

KendallCorrelation (class in dataclr.methods)

Kurtosis (class in dataclr.methods)

L

LinearCorrelation (class in dataclr.methods)

M

MaximalInformationCoefficient (class in dataclr.methods) MeanAbsoluteDeviation (class in dataclr.methods) Method (class in dataclr.methods) MethodResult (class in dataclr.results) methods_list (dataclr.results.MethodResult attribute) metric (dataclr.methods.Method attribute) Metric (in module dataclr.metrics) model (dataclr.methods.Method attribute)

module dataclr.feature_selector dataclr.methods, [1] dataclr.metrics dataclr.models, [1] dataclr.results, [1] mRMR (class in dataclr.methods) MutualInformation (class in dataclr.methods)

N

n_results (dataclr.methods.Method attribute)

O

OptunaMethod (class in dataclr.methods)

P

params (dataclr.results.Result attribute) performance (dataclr.results.Result attribute)

precision (dataclr.results.ResultPerformance attribute) predict() (dataclr.models.BaseModel method)

R

r2 (dataclr.results.ResultPerformance attribute) recall (dataclr.results.ResultPerformance attribute) RecursiveFeatureAddition (class in dataclr.methods) RecursiveFeatureElimination (class in dataclr.methods) Result (class in dataclr.results)

result (dataclr.results.MethodResult attribute) result_list (dataclr.methods.RecursiveFeatureAddition attribute) (dataclr.methods.RecursiveFeatureElimination attribute) ResultPerformance (class in dataclr.results) rmse (dataclr.results.ResultPerformance attribute)

S

seed (dataclr.methods.Method attribute) select_features() (dataclr.feature_selector.FeatureSelector method)

ShapMethod (class in dataclr.methods) Skewness (class in dataclr.methods) SpearmanCorrelation (class in dataclr.methods)

T

total_combinations (dataclr.methods.Method attribute) transform() (dataclr.methods.BorutaMethod method) (dataclr.methods.FilterMethod method) (dataclr.methods.HyperoptMethod method) (dataclr.methods.Method method) (dataclr.methods.OptunaMethod method) (dataclr.methods.RecursiveFeatureAddition method) (dataclr.methods.RecursiveFeatureElimination method) (dataclr.methods.ShapMethod method)

V

VarianceInflationFactor (class in dataclr.methods)

VarianceThreshold (class in dataclr.methods)

W

WrapperMethod (class in dataclr.methods)

Z

ZScore (class in dataclr.methods)