Package deepnetts.data.norm

Class MinMaxScaler

java.lang.Object

deepnetts.data.norm.AbstractScaler

deepnetts.data.norm.MinMaxScaler

All Implemented Interfaces:

Serializable, javax.visrec.ml.data.preprocessing.Scaler<javax.visrec.ml.data.DataSet<MLDataItem>>

public class MinMaxScaler
extends AbstractScaler

Performs Min Max normalization on the given data set.

Author:

Zoran Sevarac

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
MinMaxScaler(javax.visrec.ml.data.DataSet<MLDataItem> dataSet)	Creates a new instance of max normalizer initialized to max values in given data set.

Method Summary

Modifier and Type	Method	Description
void	apply(javax.visrec.ml.data.DataSet<MLDataItem> dataSet)	Performs normalization on the given inputs.
void	scaleInput(TensorBase input)	Normalize input of deployed model

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

MinMaxScaler

public MinMaxScaler(javax.visrec.ml.data.DataSet<MLDataItem> dataSet)

Creates a new instance of max normalizer initialized to max values in given data set.

Parameters:

dataSet -

Method Details

apply

public void apply(javax.visrec.ml.data.DataSet<MLDataItem> dataSet)

Performs normalization on the given inputs. x = (x-min) / (max-min)

Parameters:

dataSet - data set to normalize

scaleInput

public void scaleInput(TensorBase input)

Description copied from class: AbstractScaler

Normalize input of deployed model

Specified by:

scaleInput in class AbstractScaler

Parameters:

input -