deepnetts.data.norm

Class AbstractScaler

java.lang.Object

deepnetts.data.norm.AbstractScaler

All Implemented Interfaces:

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

Direct Known Subclasses:

DecimalScaler, MaxScaler, MinMaxScaler, RangeScaler, Standardizer

public abstract class AbstractScaler
extends Object
implements javax.visrec.ml.data.preprocessing.Scaler<javax.visrec.ml.data.DataSet<MLDataItem>>, Serializable

Base class to simplify implementation of custom normalization procedure. Extend this class to cretae new normalizaton procedures.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
AbstractScaler()

Method Summary

Modifier and Type	Method and Description
abstract void	scaleInput(Tensor input) Normalize input of deployed model

Methods inherited from class java.lang.Object

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

Methods inherited from interface javax.visrec.ml.data.preprocessing.Scaler

apply

Constructor Detail

AbstractScaler

public AbstractScaler()

Method Detail

scaleInput

public abstract void scaleInput(Tensor input)

Normalize input of deployed model

Parameters:

input -