def apply_transform(scaler: TransformerMixin, x: ArrayLike) -> ArrayLike:
if isinstance(x, ndarray):
return scaler.transform(x)
elif isinstance(x, Series):
return Series(apply_transform(scaler, x.to_numpy()),
x.index,
name=x.name)
elif isinstance(x, DataFrame):
return DataFrame(apply_transform(scaler, x.to_numpy()), x.index,
x.columns)
else:
raise TypeError(f"Invalid type: {type(x).__name__}")
def transform(self, transformer: TransformerMixin) -> None:
"""
Transform this dataset.
"""
self.XY[:] = transformer.transform(self.XY)
