gluonts.shell.train module

gluonts.shell.train.log_metric(metric: str, value: Any) → None

gluonts.shell.train.log_version(forecaster_type)

gluonts.shell.train.run_test(env: gluonts.shell.env.TrainEnv, predictor: gluonts.model.predictor.Predictor, test_dataset: gluonts.dataset.Dataset, hyperparameters: dict) → None

gluonts.shell.train.run_train(forecaster: gluonts.model.estimator.Estimator, train_dataset: gluonts.dataset.Dataset, hyperparameters: dict, validation_dataset: Optional[gluonts.dataset.Dataset], from_predictor: Optional[gluonts.model.predictor.Predictor]) → gluonts.model.predictor.Predictor

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