Package deepnetts.data.norm

Class MaxScaler

java.lang.Object

deepnetts.data.norm.AbstractScaler

deepnetts.data.norm.MaxScaler

All Implemented Interfaces:

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

public final class MaxScaler
extends AbstractScaler

Performs max normalization, rescales data to corresponding max value in each column. Scales all values to interval [0, 1], by dividing columns with their corresponding maximum value. Performs normalization on both inputs and outputs.

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
MaxScaler(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	deNormalizeInputs(TensorBase inputs)
void	deNormalizeOutputs(TensorBase outputs)	De-normalize given output vector in-place.
TensorBase	getMaxInputs()
TensorBase	getMaxOutputs()
void	normalizeInput(TensorBase input)
void	scaleInput(TensorBase input)	Normalize input of deployed model
void	setMaxInputs(TensorBase maxInputs)
void	setMaxOutputs(TensorBase maxOutputs)

Methods inherited from class java.lang.Object

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

Constructor Details

MaxScaler

public MaxScaler(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.

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 -

getMaxInputs

public TensorBase getMaxInputs()

setMaxInputs

public void setMaxInputs(TensorBase maxInputs)

getMaxOutputs

public TensorBase getMaxOutputs()

setMaxOutputs

public void setMaxOutputs(TensorBase maxOutputs)

deNormalizeOutputs

public void deNormalizeOutputs(TensorBase outputs)

De-normalize given output vector in-place. Multiplies given vector with vector used for normalization, and stores these values in same memory location as input vector.

Parameters:

outputs -

deNormalizeInputs

public void deNormalizeInputs(TensorBase inputs)

normalizeInput

public void normalizeInput(TensorBase input)