public inverseTransform(notnull data as NDArray<T>, inPlace as Boolean = false) as NDArray<T>
Applies x * trainingScale + trainingMean with the same copy policy. Floating rounding means an inverse is not necessarily bit-identical.
| Parameter | Description |
|---|---|
data | Standardized finite matrix with the fitted feature count. |
inPlace | Modify data instead of allocating independent storage. |
New tensor, or exactly data when inPlace is true.
restored = scaler.inverseTransform(scaled)