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