Sklearn MinMax Scaler Transform

Transforms DataFrame

Type

ml-predict

Class

fire.nodes.sklearn.preprocessing.NodeMinMaxScalarTransform

Fields

Details

Sklearn MinMax Scaler Transform Node Details

The Sklearn MinMax Scaler Transform Node is used to scale the features of a DataFrame. It uses the sklearn library to apply the MinMaxScaler transformation to the input data. This transformation can be useful for feature scaling and normalization tasks. The MinMaxScaler scales the features by transforming them to a specific range, typically between 0 and 1.

Input Parameters

RANGE : The range in which the features will be scaled. Default range is (0, 1)