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A time series library in TensorFlow (TFTS).
Modules
saved_model_utils
module: Convenience functions for working with time series saved_models.
Classes
class ARModel
: Auto-regressive model, both linear and non-linear.
class ARRegressor
: An Estimator for an (optionally non-linear) autoregressive model.
class CSVReader
: Reads from a collection of CSV-formatted files.
class FilteringResults
: Keys returned from evaluation/filtering.
class NumpyReader
: A time series parser for feeding Numpy arrays to a TimeSeriesInputFn
.
class OneShotPredictionHead
: A time series head which exports a single stateless serving signature.
class RandomWindowInputFn
: Wraps a TimeSeriesReader
to create random batches of windows.
class StructuralEnsembleRegressor
: An Estimator for structural time series models.
class TimeSeriesRegressor
: An Estimator to fit and evaluate a time series model.
class TrainEvalFeatures
: Feature names used during training and evaluation.
class WholeDatasetInputFn
: Supports passing a full time series to a model for evaluation/inference.
Functions
predict_continuation_input_fn(...)
: An Estimator input_fn for running predict() after evaluate().