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. x = (x-min) / (max-min)
void	scaleInput(TensorBase input)	Normalize input of deployed model

Methods inherited from class Object

clone, equals, finalize, 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 -