Index

_

__init__() (autopandas.autopandas.AutoData method) (autopandas.generators.anm.ANM method) (autopandas.generators.artificial.Artificial method) (autopandas.generators.autoencoder.AE method) (autopandas.generators.copula.Copula method) (autopandas.generators.copycat.Copycat method) (autopandas.generators.gmm.GMM method) (autopandas.generators.kde.KDE method) (autopandas.generators.sae.SAE method) (autopandas.generators.vae.KLDivergenceLayer method) (autopandas.generators.vae.VAE method)

A

acc_stat() (in module autopandas.utils.metric) AE (class in autopandas.generators.autoencoder) ANM (class in autopandas.generators.anm) Artificial (class in autopandas.generators.artificial) AutoData (class in autopandas.autopandas) autoencode() (autopandas.generators.sae.SAE method) autopandas (module) autopandas.autopandas (module) autopandas.generators (module) autopandas.generators.anm (module) autopandas.generators.artificial (module) autopandas.generators.autoencoder (module) autopandas.generators.copula (module) autopandas.generators.copycat (module)

autopandas.generators.gmm (module) autopandas.generators.kde (module) autopandas.generators.sae (module) autopandas.generators.vae (module) autopandas.utils (module) autopandas.utils.automl (module) autopandas.utils.benchmark (module) autopandas.utils.datasets (module) autopandas.utils.encoding (module) autopandas.utils.imputation (module) autopandas.utils.metric (module) autopandas.utils.normalization (module) autopandas.utils.reduction (module) autopandas.utils.sdv (module) autopandas.utils.visualization (module)

B

bac_metric() (in module autopandas.utils.metric)

C

call() (autopandas.generators.vae.KLDivergenceLayer method) categorical() (in module autopandas.utils.sdv) categorical_ratio() (autopandas.autopandas.AutoData method) class_deviation() (autopandas.autopandas.AutoData method) compare_marginals() (autopandas.autopandas.AutoData method) (in module autopandas.autopandas) (in module autopandas.utils.visualization)

Copula (class in autopandas.generators.copula) copula_generate() (in module autopandas.generators.copula) copy() (autopandas.autopandas.AutoData method) Copycat (class in autopandas.generators.copycat) correlation() (autopandas.autopandas.AutoData method) (in module autopandas.utils.visualization) count() (in module autopandas.utils.encoding)

D

decode() (autopandas.generators.sae.SAE method) (in module autopandas.utils.sdv) descriptors() (autopandas.autopandas.AutoData method) discriminant() (in module autopandas.utils.metric)

distance() (autopandas.autopandas.AutoData method) (autopandas.generators.autoencoder.AE method) (in module autopandas.autopandas) (in module autopandas.utils.metric) distance_matrix() (in module autopandas.utils.metric)

E

encode() (autopandas.autopandas.AutoData method) (autopandas.generators.sae.SAE method) (in module autopandas.utils.sdv)

encoding() (autopandas.autopandas.AutoData method)

F

feature_hashing() (in module autopandas.utils.reduction) fit() (autopandas.generators.anm.ANM method) (autopandas.generators.autoencoder.AE method) (autopandas.generators.copula.Copula method) (autopandas.generators.copycat.Copycat method) (autopandas.generators.gmm.GMM method) (autopandas.generators.kde.KDE method) (autopandas.generators.sae.SAE method)

flush_index() (autopandas.autopandas.AutoData method) frequency() (in module autopandas.utils.encoding) from_automl() (in module autopandas.utils.automl) from_train_test() (in module autopandas.autopandas) from_X_y() (in module autopandas.autopandas)

G

generate() (autopandas.autopandas.AutoData method) get_autoencoder() (autopandas.generators.autoencoder.AE method) get_data() (autopandas.autopandas.AutoData method) get_decoder() (autopandas.generators.autoencoder.AE method)

get_encoder() (autopandas.generators.autoencoder.AE method) get_index() (autopandas.autopandas.AutoData method) get_task() (autopandas.autopandas.AutoData method) get_types() (autopandas.autopandas.AutoData method) GMM (class in autopandas.generators.gmm)

H

has_class() (autopandas.autopandas.AutoData method) has_split() (autopandas.autopandas.AutoData method) heatmap() (autopandas.autopandas.AutoData method) (in module autopandas.utils.visualization)

hierarchical_clustering() (autopandas.autopandas.AutoData method) (in module autopandas.utils.visualization)

I

imputation() (autopandas.autopandas.AutoData method) impute() (autopandas.autopandas.AutoData method) infer() (in module autopandas.utils.imputation)

init_loss() (autopandas.generators.autoencoder.AE method) init_model() (autopandas.generators.autoencoder.AE method) input_size() (autopandas.autopandas.AutoData method)

K

KDE (class in autopandas.generators.kde)

KLDivergenceLayer (class in autopandas.generators.vae)

L

label() (in module autopandas.utils.encoding) lda() (autopandas.autopandas.AutoData method) (in module autopandas.utils.reduction)

likelihood() (in module autopandas.utils.encoding)

M

marginal_retrofit() (in module autopandas.generators.copula) matrix_to_rank() (in module autopandas.generators.copula) mean() (in module autopandas.utils.imputation) median() (in module autopandas.utils.imputation)

merge() (in module autopandas.generators.sae) min_max() (in module autopandas.utils.normalization) missing_ratio() (autopandas.autopandas.AutoData method) most() (in module autopandas.utils.imputation)

N

nn_discrepancy() (in module autopandas.utils.metric) nnaa() (in module autopandas.utils.metric) none() (in module autopandas.utils.encoding) normalization() (autopandas.autopandas.AutoData method)

normalize() (autopandas.autopandas.AutoData method) (autopandas.generators.sae.SAE method) (in module autopandas.utils.encoding) numeric() (in module autopandas.utils.sdv)

O

one_hot() (in module autopandas.utils.encoding)

output_size() (autopandas.autopandas.AutoData method)

P

pairplot() (autopandas.autopandas.AutoData method) (in module autopandas.utils.visualization) partial_fit_generate() (autopandas.generators.anm.ANM method) pca() (autopandas.autopandas.AutoData method) (in module autopandas.utils.reduction)

plot() (autopandas.autopandas.AutoData method) (in module autopandas.autopandas) (in module autopandas.utils.visualization) plot_pca() (autopandas.autopandas.AutoData method) process() (autopandas.autopandas.AutoData method) processing() (autopandas.autopandas.AutoData method)

R

rank_matrix_to_inverse() (in module autopandas.generators.copula) rank_vector_to_inverse() (in module autopandas.generators.copula) ratio() (autopandas.autopandas.AutoData method) read_automl() (in module autopandas.utils.automl)

read_csv() (in module autopandas.autopandas) reduction() (autopandas.autopandas.AutoData method) remove() (in module autopandas.utils.imputation) reset_normalization() (autopandas.generators.sae.SAE method)

S

SAE (class in autopandas.generators.sae) sample() (autopandas.generators.anm.ANM method) (autopandas.generators.artificial.Artificial method) (autopandas.generators.autoencoder.AE method) (autopandas.generators.copula.Copula method) (autopandas.generators.copycat.Copycat method) (autopandas.generators.gmm.GMM method) (autopandas.generators.kde.KDE method) (autopandas.generators.sae.SAE method)

score() (autopandas.autopandas.AutoData method) (in module autopandas.utils.benchmark) score_error_bars() (autopandas.autopandas.AutoData method) (in module autopandas.utils.benchmark) set_class() (autopandas.autopandas.AutoData method) set_indexes() (autopandas.autopandas.AutoData method) siamese_distance() (autopandas.generators.autoencoder.AE method) sparsity() (autopandas.autopandas.AutoData method) standard() (in module autopandas.utils.normalization) symbolic_ratio() (autopandas.autopandas.AutoData method)

T

target() (in module autopandas.utils.encoding) task() (autopandas.autopandas.AutoData method) to_automl() (autopandas.autopandas.AutoData method) (in module autopandas.utils.automl)

to_csv() (autopandas.autopandas.AutoData method) train_test_split() (autopandas.autopandas.AutoData method) transform() (autopandas.autopandas.AutoData method) tsne() (autopandas.autopandas.AutoData method) (in module autopandas.utils.reduction)

U

undo_categorical() (in module autopandas.utils.sdv)

undo_numeric() (in module autopandas.utils.sdv)

V

VAE (class in autopandas.generators.vae)

vector_to_rank() (in module autopandas.generators.copula)