gluonts.model.forecast_generator module#

class gluonts.model.forecast_generator.DistributionForecastGenerator(distr_output)[source]#: Bases: ForecastGenerator

class gluonts.model.forecast_generator.ForecastGenerator[source]#

Bases: object

Classes used to bring the output of a network into a class.

class gluonts.model.forecast_generator.QuantileForecastGenerator(quantiles: List[str])[source]#: Bases: ForecastGenerator

class gluonts.model.forecast_generator.SampleForecastGenerator[source]#: Bases: ForecastGenerator

gluonts.model.forecast_generator.log_once(msg)[source]#

gluonts.model.forecast_generator.make_distribution_forecast(distr, *args, **kwargs) → Forecast[source]#
gluonts.model.forecast_generator.make_distribution_forecast(distr: Distribution, *args, **kwargs) → DistributionForecast
gluonts.model.forecast_generator.make_distribution_forecast(distr: Distribution, *args, **kwargs) → DistributionForecast

gluonts.model.forecast_generator.make_predictions(prediction_net, inputs: dict)[source]#

gluonts.model.forecast_generator.to_numpy(x) → ndarray[source]#
gluonts.model.forecast_generator.to_numpy(x: NDArray) → ndarray
gluonts.model.forecast_generator.to_numpy(x: Symbol) → ndarray
gluonts.model.forecast_generator.to_numpy(x: Tensor) → ndarray