gluonts.shell.train module

gluonts.shell.train.log_metric(metric: str, value: Any) → None[source]
gluonts.shell.train.log_version(forecaster_type)[source]
gluonts.shell.train.run_test(env: gluonts.shell.env.TrainEnv, predictor: gluonts.model.predictor.Predictor, test_dataset: Iterable[Dict[str, Any]], hyperparameters: dict) → None[source]
gluonts.shell.train.run_train(forecaster: gluonts.model.estimator.Estimator, train_dataset: Iterable[Dict[str, Any]], hyperparameters: dict, validation_dataset: Optional[Iterable[Dict[str, Any]]]) → gluonts.model.predictor.Predictor[source]
gluonts.shell.train.run_train_and_test(env: gluonts.shell.env.TrainEnv, forecaster_type: Type[Union[gluonts.model.estimator.Estimator, gluonts.model.predictor.Predictor]]) → None[source]