stable
Config
Tokenizers
Train
Generate
Batch
Utils
Timeseries DGAN
ACTGAN
Gretel Synthetics
Index
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Index
_
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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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L
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M
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N
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O
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P
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R
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S
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T
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V
_
__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
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