org.apache.flink.ml.preprocessing

Class MinMaxScaler$

java.lang.Object

org.apache.flink.ml.preprocessing.MinMaxScaler$

All Implemented Interfaces:

Serializable

public class MinMaxScaler$
extends Object
implements scala.Serializable

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static MinMaxScaler$	MODULE$ Static reference to the singleton instance of this Scala object.

Constructor Summary

Constructors

Constructor and Description
MinMaxScaler$()

Method Summary

Modifier and Type	Method and Description
MinMaxScaler	apply()
Object	fitLabeledVectorMinMaxScaler() Trains the MinMaxScaler by learning the minimum and maximum of the features of the training data which is of type LabeledVector.
<T extends Vector> Object	fitVectorMinMaxScaler() Trains the MinMaxScaler by learning the minimum and maximum of each feature of the training data.
Object	transformLabeledVectors()
<T extends Vector> Object	transformVectors(BreezeVectorConverter<T> evidence$1, TypeInformation<T> evidence$2, scala.reflect.ClassTag<T> evidence$3) TransformDataSetOperation which scales input data of subtype of Vector with respect to the calculated minimum and maximum of the training data.

Methods inherited from class java.lang.Object

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

Field Detail

MODULE$

public static final MinMaxScaler$ MODULE$

Static reference to the singleton instance of this Scala object.

Constructor Detail

MinMaxScaler$

public MinMaxScaler$()

Method Detail

apply

public MinMaxScaler apply()

fitVectorMinMaxScaler

public <T extends Vector> Object fitVectorMinMaxScaler()

Trains the MinMaxScaler by learning the minimum and maximum of each feature of the training data. These values are used in the transform step to transform the given input data.

Returns:

FitOperation training the MinMaxScaler on subtypes of Vector

fitLabeledVectorMinMaxScaler

public Object fitLabeledVectorMinMaxScaler()

Trains the MinMaxScaler by learning the minimum and maximum of the features of the training data which is of type LabeledVector. The minimum and maximum are used to transform the given input data.

transformVectors

public <T extends Vector> Object transformVectors(BreezeVectorConverter<T> evidence$1,
                                                  TypeInformation<T> evidence$2,
                                                  scala.reflect.ClassTag<T> evidence$3)

TransformDataSetOperation which scales input data of subtype of Vector with respect to the calculated minimum and maximum of the training data. The minimum and maximum values of the resulting data is configurable.

Returns:

TransformDataSetOperation scaling subtypes of Vector such that the feature values are in the configured range

transformLabeledVectors

public Object transformLabeledVectors()