MinMaxScaler Class Reference

#include <Scaler.h>

Inheritance diagram for MinMaxScaler:

Public Member Functions
	MinMaxScaler (double range_min_val=0., double range_max_val=1.0)
void	fit (const Matrix< double > &X, const Matrix< double > &y) override
Matrix< double >	transform (const Matrix< double > &in) override
Public Member Functions inherited from Transformer
Matrix< double >	predict (const Matrix< double > &in) override
virtual void	fit (const Matrix< double > &X, const Matrix< double > &y)=0
virtual Matrix< double >	predict (const Matrix< double > &)=0
virtual Matrix< double >	transform (const Matrix< double > &)=0

Private Attributes
double	min_val
double	max_val

Detailed Description

Examples

ds/preprocessing/TestScaler.cpp.

Constructor & Destructor Documentation

MinMaxScaler()

MinMaxScaler::MinMaxScaler ( double  range_min_val = 0., double  range_max_val = 1.0  )

inline

Member Function Documentation

fit()

void MinMaxScaler::fit ( const Matrix< double > &  X, const Matrix< double > &  y  )

inlineoverridevirtual

Implements training algorithm

Parameters

X	array-like with the shape: [n_samples, n_features]
y	array-like with shape: [n_samples, 1]

Returns

this

Implements Predictor.

transform()

Matrix< double > MinMaxScaler::transform ( const Matrix< double > &  in )

inlineoverridevirtual

Implements Predictor.

Member Data Documentation

max_val

double MinMaxScaler::max_val

private

min_val

double MinMaxScaler::min_val

private

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The documentation for this class was generated from the following file:

• include/math/ds/preprocessing/Scaler.h