scikit-lego
Contents:
Installation
Contribution
Datasets
Linear Models
Mixture Methods
Naive Bayes
Meta Models
Fairness
Outliers
Model Based Outlier Detection
Preprocessing
Debug pipeline
Pandas pipelines
Hall of Fame
Lego in Rstudio
Import This
API Reference
scikit-lego
»
Index
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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L
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M
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O
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P
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Q
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R
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S
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T
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U
|
Z
A
add_lags() (in module sklego.pandas_utils)
as_list() (in module sklego.common)
B
BaseScipyMinimizeRegressor (class in sklego.linear_model)
BayesianGaussianMixtureNB (class in sklego.naive_bayes)
BayesianGMMClassifier (class in sklego.mixture)
BayesianGMMOutlierDetector (class in sklego.mixture)
C
classes_ (sklego.meta.SubjectiveClassifier property)
Clusterer (class in sklego.base)
ClustererMeta (class in sklego.base)
ColumnCapper (class in sklego.preprocessing)
ColumnDropper (class in sklego.preprocessing)
ColumnSelector (class in sklego.preprocessing)
ConfusionBalancer (class in sklego.meta)
correlation_score() (in module sklego.metrics)
D
DeadZoneRegressor (class in sklego.linear_model)
DebugPipeline (class in sklego.pipeline)
DecayEstimator (class in sklego.meta)
decision_function() (sklego.decomposition.PCAOutlierDetection method)
(sklego.meta.GroupedPredictor method)
(sklego.mixture.BayesianGMMOutlierDetector method)
(sklego.mixture.GMMOutlierDetector method)
default_log_callback() (in module sklego.pipeline)
DemographicParityClassifier (class in sklego.linear_model)
DictMapper (class in sklego.preprocessing)
difference() (sklego.decomposition.PCAOutlierDetection method)
(sklego.decomposition.UMAPOutlierDetection method)
E
equal_opportunity_score() (in module sklego.metrics)
EqualOpportunityClassifier (class in sklego.linear_model)
EstimatorTransformer (class in sklego.meta)
expanding_list() (in module sklego.common)
F
FairClassifier (class in sklego.linear_model)
fetch_creditcard() (in module sklego.datasets)
fit() (sklego.common.TrainOnlyTransformerMixin method)
(sklego.decomposition.PCAOutlierDetection method)
(sklego.decomposition.UMAPOutlierDetection method)
(sklego.dummy.RandomRegressor method)
(sklego.linear_model.BaseScipyMinimizeRegressor method)
(sklego.linear_model.DeadZoneRegressor method)
(sklego.linear_model.LowessRegression method)
(sklego.linear_model.ProbWeightRegression method)
(sklego.linear_model.QuantileRegression method)
(sklego.meta.ConfusionBalancer method)
(sklego.meta.DecayEstimator method)
(sklego.meta.EstimatorTransformer method)
(sklego.meta.GroupedPredictor method)
(sklego.meta.GroupedTransformer method)
(sklego.meta.OutlierClassifier method)
(sklego.meta.OutlierRemover method)
(sklego.meta.RegressionOutlierDetector method)
(sklego.meta.SubjectiveClassifier method)
(sklego.meta.Thresholder method)
(sklego.meta.ZeroInflatedRegressor method)
(sklego.mixture.BayesianGMMClassifier method)
(sklego.mixture.BayesianGMMOutlierDetector method)
(sklego.mixture.GMMClassifier method)
(sklego.mixture.GMMOutlierDetector method)
(sklego.naive_bayes.BayesianGaussianMixtureNB method)
(sklego.naive_bayes.GaussianMixtureNB method)
(sklego.preprocessing.ColumnCapper method)
(sklego.preprocessing.ColumnDropper method)
(sklego.preprocessing.ColumnSelector method)
(sklego.preprocessing.DictMapper method)
(sklego.preprocessing.IdentityTransformer method)
(sklego.preprocessing.InformationFilter method)
(sklego.preprocessing.IntervalEncoder method)
(sklego.preprocessing.OrthogonalTransformer method)
(sklego.preprocessing.OutlierRemover method)
(sklego.preprocessing.PandasTypeSelector method)
(sklego.preprocessing.PatsyTransformer method)
(sklego.preprocessing.RandomAdder method)
(sklego.preprocessing.RepeatingBasisFunction method)
flatten() (in module sklego.common)
G
GaussianMixtureNB (class in sklego.naive_bayes)
get_feature_names() (sklego.preprocessing.ColumnDropper method)
(sklego.preprocessing.ColumnSelector method)
(sklego.preprocessing.PandasTypeSelector method)
get_n_splits() (sklego.model_selection.GroupTimeSeriesSplit method)
(sklego.model_selection.TimeGapSplit method)
GMMClassifier (class in sklego.mixture)
GMMOutlierDetector (class in sklego.mixture)
GroupedEstimator() (in module sklego.meta)
GroupedPredictor (class in sklego.meta)
GroupedTransformer (class in sklego.meta)
GroupTimeSeriesSplit (class in sklego.model_selection)
I
IdentityTransformer (class in sklego.preprocessing)
ImbalancedLinearRegression (class in sklego.linear_model)
InformationFilter (class in sklego.preprocessing)
IntervalEncoder (class in sklego.preprocessing)
K
KlusterFoldValidation (class in sklego.model_selection)
L
LADRegression (class in sklego.linear_model)
load_abalone() (in module sklego.datasets)
load_arrests() (in module sklego.datasets)
load_chicken() (in module sklego.datasets)
load_hearts() (in module sklego.datasets)
load_heroes() (in module sklego.datasets)
load_penguins() (in module sklego.datasets)
log_callback (sklego.pipeline.DebugPipeline property)
log_step() (in module sklego.pandas_utils)
log_step_extra() (in module sklego.pandas_utils)
LowessRegression (class in sklego.linear_model)
M
make_debug_pipeline() (in module sklego.pipeline)
make_simpleseries() (in module sklego.datasets)
memory (sklego.pipeline.DebugPipeline property)
module
sklego.base
sklego.common
sklego.datasets
sklego.decomposition
sklego.dummy
sklego.linear_model
sklego.meta
sklego.metrics
sklego.mixture
sklego.model_selection
sklego.naive_bayes
sklego.pandas_utils
sklego.pipeline
sklego.preprocessing
O
OrthogonalTransformer (class in sklego.preprocessing)
OutlierClassifier (class in sklego.meta)
OutlierModel (class in sklego.base)
OutlierModelMeta (class in sklego.base)
OutlierRemover (class in sklego.meta)
(class in sklego.preprocessing)
P
p_percent_score() (in module sklego.metrics)
PandasTypeSelector (class in sklego.preprocessing)
PatsyTransformer (class in sklego.preprocessing)
PCAOutlierDetection (class in sklego.decomposition)
predict() (sklego.decomposition.PCAOutlierDetection method)
(sklego.decomposition.UMAPOutlierDetection method)
(sklego.dummy.RandomRegressor method)
(sklego.linear_model.BaseScipyMinimizeRegressor method)
(sklego.linear_model.DeadZoneRegressor method)
(sklego.linear_model.LowessRegression method)
(sklego.linear_model.ProbWeightRegression method)
(sklego.meta.ConfusionBalancer method)
(sklego.meta.DecayEstimator method)
(sklego.meta.GroupedPredictor method)
(sklego.meta.OutlierClassifier method)
(sklego.meta.RegressionOutlierDetector method)
(sklego.meta.SubjectiveClassifier method)
(sklego.meta.Thresholder method)
(sklego.meta.ZeroInflatedRegressor method)
(sklego.mixture.BayesianGMMClassifier method)
(sklego.mixture.BayesianGMMOutlierDetector method)
(sklego.mixture.GMMClassifier method)
(sklego.mixture.GMMOutlierDetector method)
(sklego.naive_bayes.BayesianGaussianMixtureNB method)
(sklego.naive_bayes.GaussianMixtureNB method)
predict_proba() (sklego.meta.ConfusionBalancer method)
(sklego.meta.GroupedPredictor method)
(sklego.meta.OutlierClassifier method)
(sklego.meta.SubjectiveClassifier method)
(sklego.meta.Thresholder method)
(sklego.mixture.BayesianGMMClassifier method)
(sklego.mixture.GMMClassifier method)
(sklego.naive_bayes.BayesianGaussianMixtureNB method)
(sklego.naive_bayes.GaussianMixtureNB method)
ProbabilisticClassifier (class in sklego.base)
ProbabilisticClassifierMeta (class in sklego.base)
ProbWeightRegression (class in sklego.linear_model)
Q
QuantileRegression (class in sklego.linear_model)
R
RandomAdder (class in sklego.preprocessing)
RandomRegressor (class in sklego.dummy)
RegressionOutlierDetector (class in sklego.meta)
RepeatingBasisFunction (class in sklego.preprocessing)
S
score() (sklego.meta.DecayEstimator method)
(sklego.meta.Thresholder method)
score_samples() (sklego.decomposition.PCAOutlierDetection method)
(sklego.meta.RegressionOutlierDetector method)
(sklego.mixture.BayesianGMMOutlierDetector method)
(sklego.mixture.GMMOutlierDetector method)
sklego.base
module
sklego.common
module
sklego.datasets
module
sklego.decomposition
module
sklego.dummy
module
sklego.linear_model
module
sklego.meta
module
sklego.metrics
module
sklego.mixture
module
sklego.model_selection
module
sklego.naive_bayes
module
sklego.pandas_utils
module
sklego.pipeline
module
sklego.preprocessing
module
sliding_window() (in module sklego.common)
split() (sklego.model_selection.GroupTimeSeriesSplit method)
(sklego.model_selection.KlusterFoldValidation method)
(sklego.model_selection.TimeGapSplit method)
steps (sklego.pipeline.DebugPipeline attribute)
SubjectiveClassifier (class in sklego.meta)
subset_score() (in module sklego.metrics)
summary() (sklego.model_selection.GroupTimeSeriesSplit method)
(sklego.model_selection.TimeGapSplit method)
T
Thresholder (class in sklego.meta)
TimeGapSplit (class in sklego.model_selection)
to_x_y() (sklego.meta.RegressionOutlierDetector method)
TrainOnlyTransformerMixin (class in sklego.common)
transform() (sklego.common.TrainOnlyTransformerMixin method)
(sklego.decomposition.PCAOutlierDetection method)
(sklego.decomposition.UMAPOutlierDetection method)
(sklego.meta.EstimatorTransformer method)
(sklego.meta.GroupedTransformer method)
(sklego.preprocessing.ColumnCapper method)
(sklego.preprocessing.ColumnDropper method)
(sklego.preprocessing.ColumnSelector method)
(sklego.preprocessing.DictMapper method)
(sklego.preprocessing.IdentityTransformer method)
(sklego.preprocessing.InformationFilter method)
(sklego.preprocessing.IntervalEncoder method)
(sklego.preprocessing.OrthogonalTransformer method)
(sklego.preprocessing.PandasTypeSelector method)
(sklego.preprocessing.PatsyTransformer method)
(sklego.preprocessing.RepeatingBasisFunction method)
transform_test() (sklego.common.TrainOnlyTransformerMixin method)
transform_train() (sklego.common.TrainOnlyTransformerMixin method)
(sklego.meta.OutlierRemover method)
(sklego.preprocessing.OutlierRemover method)
(sklego.preprocessing.RandomAdder method)
U
UMAPOutlierDetection (class in sklego.decomposition)
Z
ZeroInflatedRegressor (class in sklego.meta)