aligned.split_strategy.SupervisedDataSet

class documentation

class SupervisedDataSet(Generic[DatasetType]): (source)

Constructor: SupervisedDataSet(data, entity_columns, features, target, ...)

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Method __init__ Undocumented
Method label Undocumented
Method target Undocumented
Instance Variable data Undocumented
Instance Variable entity_columns Undocumented
Instance Variable event_timestamp_column Undocumented
Instance Variable feature_columns Undocumented
Instance Variable requests Undocumented
Instance Variable target_columns Undocumented
Property entities Undocumented
Property feature_references Undocumented
Property input Undocumented
Property labels Undocumented
Property sorted_features Undocumented
def __init__(self, data: DatasetType, entity_columns: set[str], features: set[str], target: set[str], event_timestamp_column: str | None, requests: list[RetrievalRequest]): (source)

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def label(self: SupervisedDataSet[pl.DataFrame]) -> pl.Series:
def label(self: SupervisedDataSet[pl.LazyFrame]) -> pl.Series:
def label(self: SupervisedDataSet[pd.DataFrame]) -> pd.Series:
(source)

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def target(self: SupervisedDataSet[pl.DataFrame]) -> pl.Series:
def target(self: SupervisedDataSet[pl.LazyFrame]) -> pl.Series:
def target(self: SupervisedDataSet[pd.DataFrame]) -> pd.Series:
(source)

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data: DatasetType = (source)

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entity_columns: set[str] = (source)

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event_timestamp_column: str | None = (source)

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feature_columns: set[str] = (source)

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requests: list[RetrievalRequest] = (source)

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target_columns: set[str] = (source)

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entities: DatasetType = (source)

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feature_references: list[FeatureReference] = (source)

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input: DatasetType = (source)

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labels: DatasetType = (source)

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sorted_features: list[str] = (source)

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