Index

_

_activation (TransformerModel attribute) _batch_size (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) _best_epoch (EarlyStopping attribute) _best_loss (EarlyStopping attribute) _callback_container (PaddleBaseModel attribute) _callbacks (CallbackContainer attribute) (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) _channels (LSTNetRegressor attribute) _custom_decoder (TransformerModel attribute) _custom_encoder (TransformerModel attribute) _d_model (TransformerModel attribute) _dim_feedforward (TransformerModel attribute) _dropout_rate (LSTNetRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) _early_stopping_metric (EarlyStopping attribute) _epoch_loss (History attribute) _epoch_metrics (History attribute) _eval_metrics (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) _hidden_config (MLPRegressor attribute) (TCNRegressor attribute) _history (History attribute) _in_chunk_len (BaseModel attribute) (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) _is_maximize (EarlyStopping attribute) _kernel_size (LSTNetRegressor attribute) (TCNRegressor attribute) _known_cov_chunk_len (PaddleDatasetImpl attribute) _loss_fn (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) _max_epochs (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) _MAXIMIZE (LogLoss attribute) (MAE attribute) (MSE attribute) _metrics (MetricContainer attribute) _NAME (LogLoss attribute) (MAE attribute) (MSE attribute) _names (MetricContainer attribute) _network (PaddleBaseModel attribute) _nhead (TransformerModel attribute) _num_decoder_layers (TransformerModel attribute) _num_encoder_layers (TransformerModel attribute) _observed_cov_chunk_len (PaddleDatasetImpl attribute) _optimizer (PaddleBaseModel attribute)

_optimizer_fn (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) _optimizer_params (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) _out_chunk_len (BaseModel attribute) (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) _output_activation (LSTNetRegressor attribute) _patience (EarlyStopping attribute) (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) _prefix (MetricContainer attribute) _rawdataset (PaddleDatasetImpl attribute) _rnn_cell_type (LSTNetRegressor attribute) _rnn_num_cells (LSTNetRegressor attribute) _samples (PaddleDatasetImpl attribute) _samples_seen (History attribute) _sampling_stride (LSTNetRegressor attribute) (MLPRegressor attribute) (PaddleDatasetImpl attribute) (TCNRegressor attribute) (TransformerModel attribute) _seed (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) _skip_chunk_len (BaseModel attribute) (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) _skip_rnn_cell_type (LSTNetRegressor attribute) _skip_rnn_num_cells (LSTNetRegressor attribute) _skip_size (LSTNetRegressor attribute) _start_time (History attribute) _stop_training (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) _stopped_epoch (EarlyStopping attribute) _supported_paddle_versions (PaddleDatasetImpl attribute) _target_in_chunk_len (PaddleDatasetImpl attribute) _target_out_chunk_len (PaddleDatasetImpl attribute) _target_skip_chunk_len (PaddleDatasetImpl attribute) _time_window (PaddleDatasetImpl attribute) _tol (EarlyStopping attribute) _trainer (Callback attribute) _use_bn (MLPRegressor attribute) _verbose (History attribute) (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) _wait (EarlyStopping attribute)

A

AnalysisReport (class in paddlets.analysis.analysis_report) analyze() (Analyzer method) (CWT method) (FFT method) (Max method) (STFT method) (Summary method)

Analyzer (class in paddlets.analysis.base) append() (CallbackContainer method) astype() (TimeSeries method) (TSDataset method)

B

backtest() (in module paddlets.utils.backtest)

BaseModel (class in paddlets.models.base) BaseTransform (class in paddlets.transform.base)

C

Callback (class in paddlets.models.dl.paddlepaddle.callbacks.callbacks) CallbackContainer (class in paddlets.models.dl.paddlepaddle.callbacks.callbacks) check_model_fitted() (in module paddlets.utils.utils) check_tsdataset() (in module paddlets.models.utils) columns (TimeSeries property) (TSDataset property)

concat() (TimeSeries class method) (TSDataset class method) copy() (TimeSeries method) (TSDataset method) CWT (class in paddlets.analysis.frequency_domain)

D

data (TimeSeries property) DataAdapter (class in paddlets.models.dl.paddlepaddle.adapter.data_adapter)

drop() (TSDataset method) dtypes (TimeSeries property) (TSDataset property)

E

EarlyStopping (class in paddlets.models.dl.paddlepaddle.callbacks.callbacks) end_time (TimeSeries property)

ensure_2d() (in module paddlets.metrics.utils) export_docx_report() (AnalysisReport method) export_json_report() (AnalysisReport method)

F

FFT (class in paddlets.analysis.frequency_domain) Fill (class in paddlets.transform.fill) fit() (BaseModel method) (BaseTransform method) (Fill method) (KSigma method) (MinMaxScaler method) (OneHot method) (Ordinal method) (PaddleBaseModel method) (Pipeline method) (StandardScaler method) (StatsTransform method) (TimeFeatureGenerator method) (Trainable method)

fit_transform() (BaseTransform method) (Fill method) (KSigma method) (MinMaxScaler method) (OneHot method) (Ordinal method) (StandardScaler method) (StatsTransform method) (TimeFeatureGenerator method) freq (TimeSeries property) (TSDataset property)

G

get_all_analyzers_names() (AnalysisReport method) get_all_cov() (TSDataset method) get_index_at_point() (TimeSeries method) get_item_from_column() (TSDataset method) get_known_cov() (TSDataset method) get_metrics_by_names() (Metric class method) get_observed_cov() (TSDataset method) get_properties() (Analyzer method) (CWT class method) (FFT class method) (Max class method) (STFT class method) (Summary class method)

get_static_cov() (TSDataset method) get_target() (TSDataset method) get_uuid() (in module paddlets.utils.utils)

H

History (class in paddlets.models.dl.paddlepaddle.callbacks.callbacks)

I

inverse_transform() (BaseTransform method) (MinMaxScaler method) (Pipeline method) (StandardScaler method)

K

known_cov (TSDataset property)

KSigma (class in paddlets.transform.ksigma)

L

load() (BaseModel static method) (in module paddlets.models.model_loader) (PaddleBaseModel static method) (Pipeline class method) (TSDataset class method)

load_from_csv() (TSDataset class method) load_from_dataframe() (TimeSeries class method) (TSDataset class method) LogLoss (class in paddlets.metrics.metrics) LSTNetRegressor (class in paddlets.models.dl.paddlepaddle.lstnet)

M

MAE (class in paddlets.metrics.metrics) Max (class in paddlets.analysis.base_analyzers) Metric (class in paddlets.metrics.base) metric_fn() (LogLoss method) (MAE method) (Metric method) (MSE method) MetricContainer (class in paddlets.metrics.metrics) MinMaxScaler (class in paddlets.transform.normalization) MLPRegressor (class in paddlets.models.dl.paddlepaddle.mlp) module paddlets.analysis paddlets.analysis.analysis_report paddlets.analysis.base paddlets.analysis.base_analyzers paddlets.analysis.frequency_domain paddlets.datasets paddlets.datasets.tsdataset paddlets.metrics paddlets.metrics.base paddlets.metrics.metrics paddlets.metrics.utils paddlets.models paddlets.models.base paddlets.models.dl paddlets.models.dl.paddlepaddle paddlets.models.dl.paddlepaddle.adapter paddlets.models.dl.paddlepaddle.adapter.data_adapter paddlets.models.dl.paddlepaddle.adapter.paddle_dataset_impl paddlets.models.dl.paddlepaddle.callbacks paddlets.models.dl.paddlepaddle.callbacks.callbacks paddlets.models.dl.paddlepaddle.lstnet paddlets.models.dl.paddlepaddle.mlp paddlets.models.dl.paddlepaddle.nbeats paddlets.models.dl.paddlepaddle.nhits paddlets.models.dl.paddlepaddle.paddle_base paddlets.models.dl.paddlepaddle.rnn paddlets.models.dl.paddlepaddle.tcn paddlets.models.dl.paddlepaddle.transformer paddlets.models.model_loader paddlets.models.utils paddlets.pipeline paddlets.pipeline.pipeline paddlets.transform paddlets.transform.base paddlets.transform.fill paddlets.transform.ksigma paddlets.transform.normalization paddlets.transform.onehot paddlets.transform.ordinal paddlets.transform.statistical paddlets.transform.time_feature paddlets.utils paddlets.utils.backtest paddlets.utils.utils

MSE (class in paddlets.metrics.metrics)

N

NBEATSModel (class in paddlets.models.dl.paddlepaddle.nbeats)

NHiTSModel (class in paddlets.models.dl.paddlepaddle.nhits)

O

observed_cov (TSDataset property) on_batch_begin() (Callback method) (CallbackContainer method) on_batch_end() (Callback method) (CallbackContainer method) (History method) on_epoch_begin() (Callback method) (CallbackContainer method) (History method) on_epoch_end() (Callback method) (CallbackContainer method) (EarlyStopping method) (History method)

on_train_begin() (Callback method) (CallbackContainer method) (History method) on_train_end() (Callback method) (CallbackContainer method) (EarlyStopping method) OneHot (class in paddlets.transform.onehot) Ordinal (class in paddlets.transform.ordinal)

P

PaddleBaseModel (class in paddlets.models.dl.paddlepaddle.paddle_base) PaddleDatasetImpl (class in paddlets.models.dl.paddlepaddle.adapter.paddle_dataset_impl) paddlets.analysis module paddlets.analysis.analysis_report module paddlets.analysis.base module paddlets.analysis.base_analyzers module paddlets.analysis.frequency_domain module paddlets.datasets module paddlets.datasets.tsdataset module paddlets.metrics module paddlets.metrics.base module paddlets.metrics.metrics module paddlets.metrics.utils module paddlets.models module paddlets.models.base module paddlets.models.dl module paddlets.models.dl.paddlepaddle module paddlets.models.dl.paddlepaddle.adapter module paddlets.models.dl.paddlepaddle.adapter.data_adapter module paddlets.models.dl.paddlepaddle.adapter.paddle_dataset_impl module paddlets.models.dl.paddlepaddle.callbacks module paddlets.models.dl.paddlepaddle.callbacks.callbacks module paddlets.models.dl.paddlepaddle.lstnet module paddlets.models.dl.paddlepaddle.mlp module paddlets.models.dl.paddlepaddle.nbeats module paddlets.models.dl.paddlepaddle.nhits module

paddlets.models.dl.paddlepaddle.paddle_base module paddlets.models.dl.paddlepaddle.rnn module paddlets.models.dl.paddlepaddle.tcn module paddlets.models.dl.paddlepaddle.transformer module paddlets.models.model_loader module paddlets.models.utils module paddlets.pipeline module paddlets.pipeline.pipeline module paddlets.transform module paddlets.transform.base module paddlets.transform.fill module paddlets.transform.ksigma module paddlets.transform.normalization module paddlets.transform.onehot module paddlets.transform.ordinal module paddlets.transform.statistical module paddlets.transform.time_feature module paddlets.utils module paddlets.utils.backtest module paddlets.utils.utils module Pipeline (class in paddlets.pipeline.pipeline) plot() (Analyzer method) (TSDataset method) predict() (BaseModel method) (PaddleBaseModel method) (Pipeline method) (Trainable method) predict_proba() (Pipeline method)

R

recursive_predict() (BaseModel method) (Pipeline method)

recursive_predict_proba() (Pipeline method) reindex() (TimeSeries method) RNNBlockRegressor (class in paddlets.models.dl.paddlepaddle.rnn)

S

save() (BaseModel method) (PaddleBaseModel method) (Pipeline method) (TSDataset method) set_column() (TSDataset method) set_known_cov() (TSDataset method) set_observed_cov() (TSDataset method) set_static_cov() (TSDataset method) set_target() (TSDataset method) set_trainer() (Callback method) (CallbackContainer method)

sort_columns() (TimeSeries method) (TSDataset method) split() (TimeSeries method) (TSDataset method) StandardScaler (class in paddlets.transform.normalization) start_time (TimeSeries property) static_cov (TSDataset property) StatsTransform (class in paddlets.transform.statistical) STFT (class in paddlets.analysis.frequency_domain) Summary (class in paddlets.analysis.base_analyzers)

T

target (TSDataset property) TCNRegressor (class in paddlets.models.dl.paddlepaddle.tcn) time_index (TimeSeries property) TimeFeatureGenerator (class in paddlets.transform.time_feature) TimeSeries (class in paddlets.datasets.tsdataset) to_dataframe() (TimeSeries method) (TSDataset method) to_numpy() (TimeSeries method) (TSDataset method) to_paddle_dataloader() (DataAdapter method) to_paddle_dataset() (DataAdapter method) to_tsdataset() (in module paddlets.models.utils)

Trainable (class in paddlets.models.base) transform() (BaseTransform method) (Fill method) (KSigma method) (MinMaxScaler method) (OneHot method) (Ordinal method) (Pipeline method) (StandardScaler method) (StatsTransform method) (TimeFeatureGenerator method) TransformerModel (class in paddlets.models.dl.paddlepaddle.transformer) TSDataset (class in paddlets.datasets.tsdataset)