Overview > klyn.math.preprocessing > StandardScaler > fit
Version 0.2.1 Overview Index Tree Deprecated
klyn.math.preprocessing.StandardScaler.fit
method
public fit(notnull data as NDArray<T>) as StandardScaler<T>
Description

Fits on training observations only. Keeps O(features) statistics, not the input tensor. Invalid input leaves the previous fitted state unchanged. Do not refit on validation/test data: use transform with this same scaler.

Parameters
ParameterDescription
dataNon-empty finite matrix in T.
Returns

This instance, for chaining.

Throws
  • ValueException for invalid rank, empty data or non-finite values.
  • NullException if data is null at runtime; statically null arguments are rejected with TypeError.
Example

scaler.fit(xTrain)