Standardizer (com.deepnetts:deepnetts-core 1.13.2 API)

java.lang.Object
- deepnetts.data.preprocessing.scale.Standardizer

All Implemented Interfaces:

java.io.Serializable, javax.visrec.ml.data.preprocessing.Scaler<javax.visrec.ml.data.DataSet<MLDataItem>>
```
public class Standardizer
extends java.lang.Object
implements javax.visrec.ml.data.preprocessing.Scaler<javax.visrec.ml.data.DataSet<MLDataItem>>, java.io.Serializable
```
Performs standardization in order to get desired statistical properties of the data set. Zero mean and one standard deviation. X = (X - MEAN) / STD

Author:

Zoran Sevarac

See Also:

Serialized Form

- Constructor Summary
  
  Constructors
  Constructor Description
  
  Standardizer(javax.visrec.ml.data.DataSet<MLDataItem> dataSet)
- Method Summary
  
  Modifier and Type Method Description
  
  void apply(javax.visrec.ml.data.DataSet<MLDataItem> dataSet)
  - Methods inherited from class java.lang.Object
    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - Standardizer
```
public Standardizer(javax.visrec.ml.data.DataSet<MLDataItem> dataSet)
```
- Method Detail
  - apply
```
public void apply(javax.visrec.ml.data.DataSet<MLDataItem> dataSet)
```
    Specified by:
    
    apply in interface javax.visrec.ml.data.preprocessing.Scaler<javax.visrec.ml.data.DataSet<MLDataItem>>