Index

_

__init__() (gretel_synthetics.timeseries_dgan.dgan.DGAN method)

A

ACTGAN (class in gretel_synthetics.actgan.actgan_wrapper) add_valid_data() (gretel_synthetics.batch.Batch method)

annotate_data() (gretel_synthetics.tokenizers.BaseTokenizerTrainer method) as_dict() (gretel_synthetics.config.BaseConfig method) (gretel_synthetics.generate.gen_text method)

B

Base (class in gretel_synthetics.tokenizers) BaseConfig (class in gretel_synthetics.config) BaseGenerator (class in gretel_synthetics.generate) BaseTokenizer (class in gretel_synthetics.tokenizers) BaseTokenizerTrainer (class in gretel_synthetics.tokenizers)

Batch (class in gretel_synthetics.batch) batch_size (gretel_synthetics.batch.DataFrameBatch attribute) batch_to_df() (gretel_synthetics.batch.DataFrameBatch method) batches (gretel_synthetics.batch.DataFrameBatch attribute) batches_to_df() (gretel_synthetics.batch.DataFrameBatch method)

C

calculate_correlation() (in module gretel_synthetics.utils.stats) calculate_correlation_ratio() (in module gretel_synthetics.utils.stats) calculate_pearsons_r() (in module gretel_synthetics.utils.stats) calculate_theils_u() (in module gretel_synthetics.utils.stats) character_coverage (gretel_synthetics.tokenizers.SentencePieceTokenizerTrainer attribute) CharTokenizer (class in gretel_synthetics.tokenizers) CharTokenizerTrainer (class in gretel_synthetics.tokenizers) checkpoint_dir (gretel_synthetics.config.BaseConfig attribute) cluster() (in module gretel_synthetics.utils.header_clusters) ColumnIdInfo (class in gretel_synthetics.actgan.structures) ColumnTransformInfo (class in gretel_synthetics.actgan.structures) ColumnType (class in gretel_synthetics.actgan.structures)

completion_percent (gretel_synthetics.batch.GenerationProgress attribute) compute_distribution_distance() (in module gretel_synthetics.utils.stats) compute_pca() (in module gretel_synthetics.utils.stats) ConditionalVectorType (class in gretel_synthetics.actgan.structures) config (gretel_synthetics.batch.DataFrameBatch attribute) (gretel_synthetics.tokenizers.BaseTokenizerTrainer attribute) config_from_model_dir() (in module gretel_synthetics.config) CONFIG_MAP (in module gretel_synthetics.config) count_memorized_lines() (in module gretel_synthetics.utils.stats) create_training_data() (gretel_synthetics.batch.DataFrameBatch method) current_invalid_count (gretel_synthetics.batch.GenerationProgress attribute) current_valid_count (gretel_synthetics.batch.GenerationProgress attribute)

D

data_iterator() (gretel_synthetics.tokenizers.BaseTokenizerTrainer method) DataFrameBatch (class in gretel_synthetics.batch) decode_from_ids() (gretel_synthetics.tokenizers.BaseTokenizer method)

delimiter (gretel_synthetics.generate.gen_text attribute) DfStyle (class in gretel_synthetics.timeseries_dgan.config) DGAN (class in gretel_synthetics.timeseries_dgan.dgan) DGANConfig (class in gretel_synthetics.timeseries_dgan.config)

E

encode_to_ids() (gretel_synthetics.tokenizers.BaseTokenizer method) epoch_callback (gretel_synthetics.config.BaseConfig attribute)

EpochInfo (class in gretel_synthetics.actgan.structures) EpochState (class in gretel_synthetics.train) explain (gretel_synthetics.generate.gen_text attribute)

F

field_delimiter (gretel_synthetics.config.BaseConfig attribute) field_delimiter_token (gretel_synthetics.config.BaseConfig attribute)

find_max_consecutive_nans() (in module gretel_synthetics.timeseries_dgan.dgan) fit() (gretel_synthetics.actgan.actgan_wrapper.ACTGAN method)

G

gen_text (class in gretel_synthetics.generate) generate_all() (gretel_synthetics.batch.RecordFactory method) generate_all_batch_lines() (gretel_synthetics.batch.DataFrameBatch method) generate_batch_lines() (gretel_synthetics.batch.DataFrameBatch method) generate_dataframe() (gretel_synthetics.timeseries_dgan.dgan.DGAN method) generate_numpy() (gretel_synthetics.timeseries_dgan.dgan.DGAN method) generate_text() (in module gretel_synthetics.generate) GenerationProgress (class in gretel_synthetics.batch) GenerationResult (class in gretel_synthetics.batch) GenerationSummary (class in gretel_synthetics.batch) GenText (class in gretel_synthetics.generate) get_categorical_field_distribution() (in module gretel_synthetics.utils.stats) get_generator_class() (gretel_synthetics.config.BaseConfig method) (gretel_synthetics.config.TensorFlowConfig method) get_numeric_distribution_bins() (in module gretel_synthetics.utils.stats) get_numeric_field_distribution() (in module gretel_synthetics.utils.stats) get_training_callable() (gretel_synthetics.config.BaseConfig method) (gretel_synthetics.config.TensorFlowConfig method) get_validator() (gretel_synthetics.batch.Batch method) gpu_check() (gretel_synthetics.config.BaseConfig method) (gretel_synthetics.config.TensorFlowConfig method)

gretel_synthetics.actgan.actgan_wrapper module gretel_synthetics.actgan.structures module gretel_synthetics.batch module gretel_synthetics.config module gretel_synthetics.generate module gretel_synthetics.timeseries_dgan.config module gretel_synthetics.timeseries_dgan.dgan module gretel_synthetics.tokenizers module gretel_synthetics.train module gretel_synthetics.utils.header_clusters module gretel_synthetics.utils.stats module

I

input_data_path (gretel_synthetics.config.BaseConfig attribute)

L

load() (gretel_synthetics.timeseries_dgan.dgan.DGAN class method) (gretel_synthetics.tokenizers.BaseTokenizer class method) (gretel_synthetics.tokenizers.CharTokenizer class method) (gretel_synthetics.tokenizers.SentencePieceTokenizer class method)

load_validator_from_file() (gretel_synthetics.batch.Batch method) LocalConfig (in module gretel_synthetics.config)

M

master_header_list (gretel_synthetics.batch.DataFrameBatch attribute) max_line_line (gretel_synthetics.tokenizers.SentencePieceTokenizerTrainer attribute) max_lines (gretel_synthetics.config.BaseConfig attribute) max_training_time_seconds (gretel_synthetics.config.BaseConfig attribute) model_type (gretel_synthetics.config.BaseConfig attribute) module gretel_synthetics.actgan.actgan_wrapper gretel_synthetics.actgan.structures gretel_synthetics.batch gretel_synthetics.config gretel_synthetics.generate gretel_synthetics.timeseries_dgan.config gretel_synthetics.timeseries_dgan.dgan gretel_synthetics.tokenizers gretel_synthetics.train gretel_synthetics.utils.header_clusters gretel_synthetics.utils.stats

N

nan_linear_interpolation() (in module gretel_synthetics.timeseries_dgan.dgan) new_invalid_count (gretel_synthetics.batch.GenerationProgress attribute) new_valid_count (gretel_synthetics.batch.GenerationProgress attribute)

Normalization (class in gretel_synthetics.timeseries_dgan.config) normalize_dataset() (in module gretel_synthetics.utils.stats) num_lines (gretel_synthetics.tokenizers.BaseTokenizerTrainer attribute)

O

original_headers (gretel_synthetics.batch.DataFrameBatch attribute)

OutputType (class in gretel_synthetics.timeseries_dgan.config) overwrite (gretel_synthetics.config.BaseConfig attribute)

P

PredString (in module gretel_synthetics.generate)

pretrain_sentence_count (gretel_synthetics.tokenizers.SentencePieceTokenizerTrainer attribute)

R

RecordFactory (class in gretel_synthetics.batch)

reset_gen_data() (gretel_synthetics.batch.Batch method)

S

sample() (gretel_synthetics.actgan.actgan_wrapper.ACTGAN method) sample_remaining_columns() (gretel_synthetics.actgan.actgan_wrapper.ACTGAN method) save() (gretel_synthetics.timeseries_dgan.dgan.DGAN method) SeedingGenerator (class in gretel_synthetics.generate) SentencePieceColumnTokenizer (class in gretel_synthetics.tokenizers) SentencePieceColumnTokenizerTrainer (class in gretel_synthetics.tokenizers)

SentencePieceTokenizer (class in gretel_synthetics.tokenizers) SentencePieceTokenizerTrainer (class in gretel_synthetics.tokenizers) set_batch_validator() (gretel_synthetics.batch.DataFrameBatch method) set_validator() (gretel_synthetics.batch.Batch method) Settings (class in gretel_synthetics.generate) synthetic_df (gretel_synthetics.batch.Batch property)

T

TensorFlowConfig (class in gretel_synthetics.config) text (gretel_synthetics.generate.gen_text attribute) timestamp (gretel_synthetics.batch.GenerationProgress attribute) to_dict() (gretel_synthetics.timeseries_dgan.config.DGANConfig method) tokenizer_from_model_dir() (in module gretel_synthetics.tokenizers) TokenizerError total_vocab_size (gretel_synthetics.tokenizers.BaseTokenizer property) (gretel_synthetics.tokenizers.CharTokenizer property) (gretel_synthetics.tokenizers.SentencePieceTokenizer property)

train() (gretel_synthetics.tokenizers.BaseTokenizerTrainer method) (in module gretel_synthetics.train) train_all_batches() (gretel_synthetics.batch.DataFrameBatch method) train_batch() (gretel_synthetics.batch.DataFrameBatch method) train_dataframe() (gretel_synthetics.timeseries_dgan.dgan.DGAN method) train_numpy() (gretel_synthetics.timeseries_dgan.dgan.DGAN method) train_rnn() (in module gretel_synthetics.train) training_data_path (gretel_synthetics.config.BaseConfig attribute) TrainingParams (class in gretel_synthetics.train)

V

valid (gretel_synthetics.generate.gen_text attribute) validation_check() (in module gretel_synthetics.timeseries_dgan.dgan) validation_split (gretel_synthetics.config.BaseConfig attribute) validator (gretel_synthetics.batch.RecordFactory attribute)

values_as_list() (gretel_synthetics.generate.gen_text method) vocab_size (gretel_synthetics.tokenizers.BaseTokenizerTrainer attribute) (gretel_synthetics.tokenizers.SentencePieceTokenizerTrainer attribute) VocabSizeTooSmall