sklearn.preprocessing

Class MinMaxScaler

java.lang.Object

java.util.AbstractMap<K,V>

java.util.HashMap<String,Object>

net.razorvine.pickle.objects.ClassDict

sklearn.Transformer

sklearn.preprocessing.MinMaxScaler

All Implemented Interfaces:

Serializable, Cloneable, Map<String,Object>

public class MinMaxScaler
extends Transformer

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class java.util.AbstractMap

AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>

Constructor Summary

Constructors

Constructor and Description
MinMaxScaler(String module, String name)

Method Summary

Methods

Modifier and Type	Method and Description
List<org.jpmml.converter.Feature>	encodeFeatures(List<String> ids, List<org.jpmml.converter.Feature> inputFeatures, FeatureMapper featureMapper)
List<? extends Number>	getMin()
List<? extends Number>	getScale()

Methods inherited from class sklearn.Transformer

createName, createName, getDataType, getOpType, name

Methods inherited from class net.razorvine.pickle.objects.ClassDict

__setstate__, getClassName

Methods inherited from class java.util.HashMap

clear, clone, containsKey, containsValue, entrySet, get, isEmpty, keySet, put, putAll, remove, size, values

Methods inherited from class java.util.AbstractMap

equals, hashCode, toString

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.util.Map

equals, hashCode

Constructor Detail

MinMaxScaler

public MinMaxScaler(String module,
            String name)

Method Detail

encodeFeatures

public List<org.jpmml.converter.Feature> encodeFeatures(List<String> ids,
                                               List<org.jpmml.converter.Feature> inputFeatures,
                                               FeatureMapper featureMapper)

Specified by:

encodeFeatures in class Transformer

getMin

public List<? extends Number> getMin()

getScale

public List<? extends Number> getScale()