Class DecimalScaler

java.lang.Object

deepnetts.data.norm.AbstractScaler

deepnetts.data.norm.DecimalScaler

All Implemented Interfaces:

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

public class DecimalScaler
extends AbstractScaler

Decimal scale normalization for the given data set. Divides all inputs and outputs with 10^k so they are all scaled to [0,1]

Author:

Zoran Sevarac

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
DecimalScaler(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 Object

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

Constructor Details

DecimalScaler

public DecimalScaler(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 -