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aligned.split_strategy.SupervisedDataSet

class documentation

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

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

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Undocumented

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 target_columns Undocumented
Property entities 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): (source)

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

Undocumented

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

Undocumented

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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target_columns: set[str] = (source)

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@property
entities: DatasetType = (source)

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@property
input: DatasetType = (source)

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@property
labels: DatasetType = (source)

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@property
sorted_features: list[str] = (source)

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