Package ai.sklearn4j.preprocessing.label

Class LabelBinarizer

java.lang.Object

ai.sklearn4j.base.TransformerMixin<List<Object>,NumpyArray<Long>>

ai.sklearn4j.preprocessing.label.LabelBinarizer

public class LabelBinarizer
extends TransformerMixin<List<Object>,NumpyArray<Long>>

Binarize labels in a one-vs-all fashion. Several regression and binary classification algorithms are available in scikit-learn. A simple way to extend these algorithms to the multi-class classification case is to use the so-called one-vs-all scheme. At learning time, this simply consists in learning one regressor or binary classifier per class. In doing so, one needs to convert multi-class labels to binary labels (belong or does not belong to the class). LabelBinarizer makes this process easy with the transform method. At prediction time, one assigns the class for which the corresponding model gave the greatest confidence. LabelBinarizer makes this easy with the inverse_transform method.

Constructor Summary

Constructors

Constructor	Description
LabelBinarizer()	Instantiate a new object of LabelBinarizer.

Method Summary

Modifier and Type	Method	Description
List<Object>	getClasses()	Gets the Holds the label for each class.
long	getNegativeLabel()	Gets the value of NegLabel
long	getPositiveLabel()	Gets the value of PosLabel
String	getYType()	Gets the Represents the type of the target data as evaluated by utils.multiclass.type_of_target.
List<Object>	inverseTransform(NumpyArray<Long> array)	Takes a transformed array and reveres the transformation.
void	setClasses(List<Object> value)	Sets the Holds the label for each class.
void	setNegativeLabel(long value)	Sets the value of NegLabel
void	setPositiveLabel(long value)	Sets the value of PosLabel
void	setYType(String value)	Sets the Represents the type of the target data as evaluated by utils.multiclass.type_of_target.
NumpyArray<Long>	transform(List<Object> array)	Takes the input array and transforms it.

Methods inherited from class java.lang.Object

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

Constructor Detail

LabelBinarizer

public LabelBinarizer()

Instantiate a new object of LabelBinarizer.

Method Detail

setClasses

public void setClasses(List<Object> value)

Sets the Holds the label for each class.

Parameters:

value - The new value for classes.

getClasses

public List<Object> getClasses()

Gets the Holds the label for each class.

setYType

public void setYType(String value)

Sets the Represents the type of the target data as evaluated by utils.multiclass.type_of_target. Possible type are 'continuous', 'continuous-multioutput', 'binary', 'multiclass', 'multiclass-multioutput', 'multilabel-indicator', and 'unknown'.

Parameters:

value - The new value for yType.

getYType

public String getYType()

Gets the Represents the type of the target data as evaluated by utils.multiclass.type_of_target. Possible type are 'continuous', 'continuous-multioutput', 'binary', 'multiclass', 'multiclass-multioutput', 'multilabel-indicator', and 'unknown'.

setNegativeLabel

public void setNegativeLabel(long value)

Sets the value of NegLabel

Parameters:

value - The new value for NegLabel.

getNegativeLabel

public long getNegativeLabel()

Gets the value of NegLabel

setPositiveLabel

public void setPositiveLabel(long value)

Sets the value of PosLabel

Parameters:

value - The new value for PosLabel.

getPositiveLabel

public long getPositiveLabel()

Gets the value of PosLabel

transform

public NumpyArray<Long> transform(List<Object> array)

Takes the input array and transforms it.

Specified by:

transform in class TransformerMixin<List<Object>,NumpyArray<Long>>

Parameters:

array - The array to transform.

Returns:

The transformed array.

inverseTransform

public List<Object> inverseTransform(NumpyArray<Long> array)

Takes a transformed array and reveres the transformation.

Specified by:

inverseTransform in class TransformerMixin<List<Object>,NumpyArray<Long>>

Parameters:

array - The array to apply reveres transform.

Returns:

The inversed transform of array.