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chap_core.data.gluonts_adaptor package
chap_core.data.gluonts_adaptor.dataset module
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class chap_core.data.gluonts_adaptor.dataset.DataSetAdaptor[source]
Bases: object
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static from_dataset(dataset: DataSet, start_index=0, static=None, real=None) → Iterable[dict]
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static from_gluonts(gluonts_dataset: Iterable[dict], dataclass: type[T]) → DataSet[T][source]
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static get_metadata(dataset: DataSet)[source]
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static to_dataset(gluonts_dataset: Iterable[dict], dataclass: type[T]) → DataSet[T]
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static to_gluonts(dataset: DataSet, start_index=0, static=None, real=None) → Iterable[dict][source]
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static to_gluonts_multicountry(dataset: MultiCountryDataSet) → Iterable[dict][source]
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static to_gluonts_testinstances(history: DataSet, future: DataSet, prediction_length)[source]
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class chap_core.data.gluonts_adaptor.dataset.ForecastAdaptor[source]
Bases: object
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static from_samples(samples: Samples) → SampleForecast[source]
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chap_core.data.gluonts_adaptor.dataset.get_dataset(name, with_metadata=False)[source]
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chap_core.data.gluonts_adaptor.dataset.get_split_dataset(name, n_periods=6) → tuple[Iterable[dict], Iterable[dict]][source]