Index

C

categorical (vcnet.data.DataCatalog property) (vcnet.DataCatalog property) classif() (vcnet.models.PHVCNet method) (vcnet.models.VCNet method) (vcnet.models.VCNetBase method) (vcnet.PHVCNet method) (vcnet.VCNet method)

Classifier (class in vcnet.classifiers) configure_optimizers() (vcnet.classifiers.Classifier method) (vcnet.models.VCNetBase method) continuous (vcnet.data.DataCatalog property) (vcnet.DataCatalog property) counterfactuals() (vcnet.models.VCNetBase method)

D

data_loader() (vcnet.data.NumpyDataset method) data_unloader() (vcnet.data.DataCatalog method) (vcnet.DataCatalog method) DataCatalog (class in vcnet) (class in vcnet.data) decode() (in module vcnet.data) (vcnet.models.VCNetBase method)

descale() (in module vcnet.data) df_test (vcnet.data.DataCatalog property) (vcnet.DataCatalog property) df_train (vcnet.data.DataCatalog property) (vcnet.DataCatalog property) df_val (vcnet.data.DataCatalog property) (vcnet.DataCatalog property)

E

encode() (in module vcnet.data) (vcnet.models.VCNetBase method)

encoder (vcnet.data.DataCatalog property) (vcnet.DataCatalog property)

F

features() (vcnet.data.NumpyDataset method) fit() (vcnet.classifiers.sklearnClassifier method) (vcnet.sklearnClassifier method) fit_encoder() (in module vcnet.data) fit_imputer() (in module vcnet.data)

fit_rounder() (in module vcnet.data) fit_scaler() (in module vcnet.data) forward() (vcnet.classifiers.Classifier method) (vcnet.models.VCNetBase method) forward_pred() (vcnet.models.VCNetBase method)

G

get_pipeline_element() (vcnet.data.DataCatalog method) (vcnet.DataCatalog method)

I

immutables (vcnet.data.DataCatalog property) (vcnet.DataCatalog property) impute() (in module vcnet.data) imputer (vcnet.data.DataCatalog property) (vcnet.DataCatalog property)

inverse_transform() (vcnet.data.DataCatalog method) (vcnet.data.Rounder method) (vcnet.DataCatalog method)

L

loss_functions() (vcnet.models.VCNet method) (vcnet.models.VCNetBase method) (vcnet.VCNet method)

M

module vcnet vcnet.classifiers vcnet.data vcnet.models

N

NumpyDataset (class in vcnet.data)

O

order_data() (in module vcnet.data)

P

PHVCNet (class in vcnet) (class in vcnet.models) pre_encode() (vcnet.models.VCNet method) (vcnet.models.VCNetBase method) (vcnet.VCNet method)

prepare_data() (vcnet.data.DataCatalog method) (vcnet.DataCatalog method)

R

raw_df_test (vcnet.data.DataCatalog property) (vcnet.DataCatalog property) raw_df_train (vcnet.data.DataCatalog property) (vcnet.DataCatalog property)

raw_df_val (vcnet.data.DataCatalog property) (vcnet.DataCatalog property) reparameterize() (vcnet.models.VCNetBase method) round() (in module vcnet.data) Rounder (class in vcnet.data)

S

scale() (in module vcnet.data) scaler (vcnet.data.DataCatalog property) (vcnet.DataCatalog property)

sklearnClassifier (class in vcnet) (class in vcnet.classifiers)

T

target (vcnet.data.DataCatalog property) (vcnet.DataCatalog property) target() (vcnet.data.NumpyDataset method) test_dataloader() (vcnet.data.DataCatalog method) (vcnet.DataCatalog method) train_dataloader() (vcnet.data.DataCatalog method) (vcnet.DataCatalog method)

training_step() (vcnet.classifiers.Classifier method) (vcnet.models.PHVCNet method) (vcnet.models.VCNet method) (vcnet.models.VCNetBase method) (vcnet.PHVCNet method) (vcnet.VCNet method) transform() (vcnet.data.DataCatalog method) (vcnet.DataCatalog method)

V

val_dataloader() (vcnet.data.DataCatalog method) (vcnet.DataCatalog method) vcnet module VCNet (class in vcnet) (class in vcnet.models)

vcnet.classifiers module vcnet.data module vcnet.models module VCNetBase (class in vcnet.models)