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https://github.com/wassname/pytorch-ts.git
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46 lines
952 B
Python
46 lines
952 B
Python
from abc import ABC, abstractmethod
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from typing import Any, Dict, Sized, Iterable, NamedTuple
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DataEntry = Dict[str, Any]
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class SourceContext(NamedTuple):
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source: str
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row: int
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class FieldName:
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"""
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A bundle of default field names to be used by clients when instantiating
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transformer instances.
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"""
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ITEM_ID = "item_id"
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START = "start"
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TARGET = "target"
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FEAT_STATIC_CAT = "feat_static_cat"
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FEAT_STATIC_REAL = "feat_static_real"
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FEAT_DYNAMIC_CAT = "feat_dynamic_cat"
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FEAT_DYNAMIC_REAL = "feat_dynamic_real"
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FEAT_TIME = "time_feat"
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FEAT_CONST = "feat_dynamic_const"
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FEAT_AGE = "feat_dynamic_age"
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OBSERVED_VALUES = "observed_values"
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IS_PAD = "is_pad"
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FORECAST_START = "forecast_start"
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class Dataset(Sized, Iterable[DataEntry], ABC):
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@abstractmethod
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def __iter__(self) -> Iterable[DataEntry]:
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pass
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@abstractmethod
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def __len__(self):
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pass
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