Index

_

_activation (InformerModel attribute) (TransformerModel attribute) _batch_size (InformerModel attribute) (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) (TS2Vec attribute) _best_epoch (EarlyStopping attribute) _best_loss (EarlyStopping attribute) _callback_container (PaddleBaseModel attribute) _callbacks (CallbackContainer attribute) (InformerModel attribute) (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) (TS2Vec attribute) _channels (LSTNetRegressor attribute) _custom_decoder (TransformerModel attribute) _custom_encoder (TransformerModel attribute) _d_model (InformerModel attribute) (TransformerModel attribute) _dim_feedforward (TransformerModel attribute) _dropout_rate (InformerModel attribute) (LSTNetRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) _early_stopping_metric (EarlyStopping attribute) _epoch_loss (History attribute) _epoch_metrics (History attribute) _eval_metrics (InformerModel attribute) (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) _hidden_config (MLPRegressor attribute) (TCNRegressor attribute) _history (History attribute) _in_chunk_len (BaseModel attribute) (InformerModel 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 (InformerModel attribute) (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) _max_epochs (InformerModel attribute) (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) (TS2Vec 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 (InformerModel attribute) (TransformerModel attribute) _num_decoder_layers (InformerModel attribute) (TransformerModel attribute) _num_encoder_layers (InformerModel attribute) (TransformerModel attribute) _observed_cov_chunk_len (PaddleDatasetImpl attribute) _optimizer (PaddleBaseModel attribute)

_optimizer_fn (InformerModel attribute) (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) (TS2Vec attribute) _optimizer_params (InformerModel attribute) (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) (TS2Vec attribute) _out_chunk_len (BaseModel attribute) (InformerModel attribute) (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) _output_activation (LSTNetRegressor attribute) _patience (EarlyStopping attribute) (InformerModel 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 (InformerModel attribute) (LSTNetRegressor attribute) (MLPRegressor attribute) (PaddleDatasetImpl attribute) (TCNRegressor attribute) (TransformerModel attribute) (TS2Vec attribute) _seed (InformerModel attribute) (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) (TS2Vec attribute) _segment_size (TS2Vec attribute) _skip_chunk_len (BaseModel attribute) (InformerModel 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) _start_token_len (InformerModel attribute) _stop_training (InformerModel attribute) (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) _stopped_epoch (EarlyStopping 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) (InformerModel attribute) (LSTNetRegressor attribute) (MLPRegressor attribute) (TCNRegressor attribute) (TransformerModel attribute) (TS2Vec 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) AutoTS (class in paddlets.automl.autots)

B

backtest() (in module paddlets.utils.backtest) BaseModel (class in paddlets.models.base)

BaseTransform (class in paddlets.transform.base) best_param (AutoTS property)

C

Callback (class in paddlets.models.common.callbacks.callbacks) CallbackContainer (class in paddlets.models.common.callbacks.callbacks) check_model_fitted() (in module paddlets.utils.utils) check_train_valid_continuity() (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) cross_validate() (in module paddlets.utils.validation) CWT (class in paddlets.analysis.frequency_domain)

D

data (TimeSeries property) DataAdapter (class in paddlets.models.forecasting.dl.adapter.data_adapter) DeepARModel (class in paddlets.models.forecasting.dl.deepar) default_ml_dataloader_to_fit_ndarray() (in module paddlets.models.forecasting.ml.ml_model_wrapper)

default_ml_dataloader_to_predict_ndarray() (in module paddlets.models.forecasting.ml.ml_model_wrapper) drop() (TSDataset method) drop_tail_nan() (TimeSeries method) dtypes (TimeSeries property) (TSDataset property)

E

EarlyStopping (class in paddlets.models.common.callbacks.callbacks) end_time (TimeSeries property) ensure_2d() (in module paddlets.metrics.utils)

ExpandingWindowSplitter (class in paddlets.datasets.splitter) 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() (AutoTS method) (BaseModel method) (BaseTransform method) (Fill method) (KSigma method) (PaddleBaseModel method) (Pipeline method) (SklearnModelWrapper method) (StatsTransform method) (TimeFeatureGenerator method) (Trainable method) (UdBaseTransform method)

fit_and_score() (in module paddlets.utils.validation) fit_transform() (BaseTransform method) (Fill method) (KSigma method) (StatsTransform method) (TimeFeatureGenerator method) (UdBaseTransform method) freq (TimeSeries property) (TSDataset property)

G

GaussianLikelihood (class in paddlets.models.forecasting.dl.distributions.likelihood) get_all_analyzers_names() (AnalysisReport method) get_all_cov() (TSDataset method) get_default_search_space() (SearchSpaceConfiger method) get_index_at_point() (TimeSeries method) get_item_from_column() (TSDataset method) get_known_cov() (TSDataset method) get_mean() (GaussianLikelihood method) (Likelihood method) get_metrics_by_names() (Metric class method) get_n_splits (ExpandingWindowSplitter property) 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_searcher() (Searcher class method) get_static_cov() (TSDataset method) get_supported_algs() (Searcher class method) get_target() (TSDataset method) get_target_from_tsdataset() (in module paddlets.models.utils) get_tsdataset_max_len() (in module paddlets.utils.utils) get_uuid() (in module paddlets.utils.utils)

H

History (class in paddlets.models.common.callbacks.callbacks)

HoldoutSplitter (class in paddlets.datasets.splitter)

I

InformerModel (class in paddlets.models.forecasting.dl.informer) inverse_transform() (BaseTransform method) (Pipeline method) (UdBaseTransform method)

is_refitted() (AutoTS method)

K

known_cov (TSDataset property)

KSigma (class in paddlets.transform.ksigma)

L

Likelihood (class in paddlets.models.forecasting.dl.distributions.likelihood) load() (AutoTS class method) (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) loss() (Likelihood method) LSTNetRegressor (class in paddlets.models.forecasting.dl.lstnet)

M

MAE (class in paddlets.metrics.metrics) make_ml_model() (in module paddlets.models.forecasting.ml.ml_model_wrapper) make_ts_transform() (in module paddlets.transform.utils.make_ts_transform) Max (class in paddlets.analysis.base_analyzers) Metric (class in paddlets.metrics.base) metric_fn() (LogLoss method) (MAE method) (Metric method) (MSE method) (QuantileLoss method) MetricContainer (class in paddlets.metrics.metrics) MinMaxScaler (class in paddlets.transform.sklearn_transforms) MLModelBaseWrapper (class in paddlets.models.forecasting.ml.ml_model_wrapper) MLPRegressor (class in paddlets.models.forecasting.dl.mlp) module paddlets.analysis paddlets.analysis.analysis_report paddlets.analysis.base paddlets.analysis.base_analyzers paddlets.analysis.frequency_domain paddlets.automl paddlets.automl.autots paddlets.automl.optimize_runner paddlets.automl.search_space_configer paddlets.automl.searcher paddlets.datasets paddlets.datasets.splitter paddlets.datasets.tsdataset paddlets.metrics paddlets.metrics.base paddlets.metrics.metrics paddlets.metrics.utils paddlets.models paddlets.models.base paddlets.models.common paddlets.models.common.callbacks paddlets.models.common.callbacks.callbacks paddlets.models.forecasting paddlets.models.forecasting.dl paddlets.models.forecasting.dl.adapter paddlets.models.forecasting.dl.adapter.data_adapter paddlets.models.forecasting.dl.adapter.paddle_dataset_impl paddlets.models.forecasting.dl.deepar paddlets.models.forecasting.dl.distributions paddlets.models.forecasting.dl.distributions.likelihood paddlets.models.forecasting.dl.informer paddlets.models.forecasting.dl.lstnet paddlets.models.forecasting.dl.mlp paddlets.models.forecasting.dl.nbeats paddlets.models.forecasting.dl.nhits paddlets.models.forecasting.dl.paddle_base paddlets.models.forecasting.dl.rnn paddlets.models.forecasting.dl.tcn paddlets.models.forecasting.dl.transformer paddlets.models.forecasting.ml paddlets.models.forecasting.ml.ml_model_wrapper paddlets.models.model_loader paddlets.models.representation paddlets.models.representation.dl paddlets.models.representation.dl.ts2vec paddlets.models.utils paddlets.pipeline paddlets.pipeline.pipeline paddlets.transform paddlets.transform.base paddlets.transform.fill paddlets.transform.ksigma paddlets.transform.sklearn_transforms paddlets.transform.sklearn_transforms_base paddlets.transform.statistical paddlets.transform.time_feature paddlets.transform.utils paddlets.transform.utils.make_ts_transform paddlets.utils paddlets.utils.backtest paddlets.utils.utils paddlets.utils.validation

MSE (class in paddlets.metrics.metrics)

N

NBEATSModel (class in paddlets.models.forecasting.dl.nbeats) NHiTSModel (class in paddlets.models.forecasting.dl.nhits)

num_params (GaussianLikelihood property) (Likelihood property)

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.sklearn_transforms) optimize() (OptimizeRunner method) OptimizeRunner (class in paddlets.automl.optimize_runner) Ordinal (class in paddlets.transform.sklearn_transforms) output_to_params() (GaussianLikelihood method) (Likelihood method)

P

PaddleBaseModel (class in paddlets.models.forecasting.dl.paddle_base) PaddleDatasetImpl (class in paddlets.models.forecasting.dl.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.automl module paddlets.automl.autots module paddlets.automl.optimize_runner module paddlets.automl.search_space_configer module paddlets.automl.searcher module paddlets.datasets module paddlets.datasets.splitter 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.common module paddlets.models.common.callbacks module paddlets.models.common.callbacks.callbacks module paddlets.models.forecasting module paddlets.models.forecasting.dl module paddlets.models.forecasting.dl.adapter module paddlets.models.forecasting.dl.adapter.data_adapter module paddlets.models.forecasting.dl.adapter.paddle_dataset_impl module paddlets.models.forecasting.dl.deepar module paddlets.models.forecasting.dl.distributions module paddlets.models.forecasting.dl.distributions.likelihood module paddlets.models.forecasting.dl.informer module paddlets.models.forecasting.dl.lstnet module paddlets.models.forecasting.dl.mlp module paddlets.models.forecasting.dl.nbeats module paddlets.models.forecasting.dl.nhits module

paddlets.models.forecasting.dl.paddle_base module paddlets.models.forecasting.dl.rnn module paddlets.models.forecasting.dl.tcn module paddlets.models.forecasting.dl.transformer module paddlets.models.forecasting.ml module paddlets.models.forecasting.ml.ml_model_wrapper module paddlets.models.model_loader module paddlets.models.representation module paddlets.models.representation.dl module paddlets.models.representation.dl.ts2vec 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.sklearn_transforms module paddlets.transform.sklearn_transforms_base module paddlets.transform.statistical module paddlets.transform.time_feature module paddlets.transform.utils module paddlets.transform.utils.make_ts_transform module paddlets.utils module paddlets.utils.backtest module paddlets.utils.utils module paddlets.utils.validation module paddlets_default_search_space (SearchSpaceConfiger property) params_to_distr() (GaussianLikelihood method) (Likelihood method) Pipeline (class in paddlets.pipeline.pipeline) plot() (Analyzer method) (CWT method) (FFT method) (STFT method) (TSDataset method) predict() (AutoTS method) (BaseModel method) (PaddleBaseModel method) (Pipeline method) (SklearnModelWrapper method) (Trainable method) predict_proba() (Pipeline method)

Q

QuantileLoss (class in paddlets.metrics.metrics)

R

recommend() (SearchSpaceConfiger method) recursive_predict() (BaseModel method) (Pipeline method)

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

S

sample() (Likelihood method) save() (AutoTS method) (BaseModel method) (PaddleBaseModel method) (Pipeline method) (TSDataset method) search_space() (AutoTS method) search_space_to_str() (SearchSpaceConfiger method) Searcher (class in paddlets.automl.searcher) SearchSpaceConfiger (class in paddlets.automl.search_space_configer) 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)

setup_estimator() (OptimizeRunner method) SklearnModelWrapper (class in paddlets.models.forecasting.ml.ml_model_wrapper) SklearnTransformWrapper (class in paddlets.transform.sklearn_transforms_base) SlideWindowSplitter (class in paddlets.datasets.splitter) sort_columns() (TimeSeries method) (TSDataset method) split() (SplitterBase method) (TimeSeries method) (TSDataset method) split_dataset() (in module paddlets.utils.utils) SplitterBase (class in paddlets.datasets.splitter) StandardScaler (class in paddlets.transform.sklearn_transforms) 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.forecasting.dl.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) (Pipeline method) (StatsTransform method) (TimeFeatureGenerator method) (UdBaseTransform method) transform_n_rows() (BaseTransform method) TransformerModel (class in paddlets.models.forecasting.dl.transformer) TS2Vec (class in paddlets.models.representation.dl.ts2vec) TSDataset (class in paddlets.datasets.tsdataset)

U

UdBaseTransform (class in paddlets.transform.base)