jsat.classifiers.calibration

Class PlattCalibration

java.lang.Object

jsat.classifiers.calibration.BinaryCalibration

jsat.classifiers.calibration.PlattCalibration

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, Classifier, Parameterized

public class PlattCalibration
extends BinaryCalibration

Platt Calibration essentially performs logistic regression on the output scores of a model against their class labels. While first described for SVMs, Platt's method can be used for any scoring algorithm in general.

See:

• Platt, J. C. (1999). Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods. Advances in Large Margin Classifiers (pp. 61–74). MIT Press. Retrieved from here
• Lin, H.-T., Lin, C.-J.,&Weng, R. C. (2007). A note on Platt’s probabilistic outputs for support vector machines. Machine learning, 68(3), 267–276. Retrieved from here
• Niculescu-Mizil, A.,&Caruana, R. (2005). Predicting Good Probabilities with Supervised Learning. International Conference on Machine Learning (pp. 625–632). Retrieved from here

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class jsat.classifiers.calibration.BinaryCalibration

BinaryCalibration.CalibrationMode

Constructor Summary

Constructors

Constructor and Description
PlattCalibration(BinaryScoreClassifier base, BinaryCalibration.CalibrationMode mode) Creates a new Platt Calibration object

Method Summary

Modifier and Type	Method and Description
CategoricalResults	classify(DataPoint data) Performs classification on the given data point.
PlattCalibration	clone()
boolean	supportsWeightedData() Indicates whether the model knows how to train using weighted data points.

Methods inherited from class jsat.classifiers.calibration.BinaryCalibration

getCalibrationFolds, getCalibrationHoldOut, getCalibrationMode, setCalibrationFolds, setCalibrationHoldOut, setCalibrationMode, train

Methods inherited from class java.lang.Object

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

Methods inherited from interface jsat.classifiers.Classifier

train

Methods inherited from interface jsat.parameters.Parameterized

getParameter, getParameters

Constructor Detail

PlattCalibration

public PlattCalibration(BinaryScoreClassifier base,
                        BinaryCalibration.CalibrationMode mode)

Creates a new Platt Calibration object

Parameters:

base - the base model to calibrate the outputs of

mode - the calibration mode to use

Method Detail

classify

public CategoricalResults classify(DataPoint data)

Description copied from interface: Classifier

Performs classification on the given data point.

Parameters:

data - the data point to classify

Returns:

the results of the classification.

supportsWeightedData

public boolean supportsWeightedData()

Description copied from interface: Classifier

Indicates whether the model knows how to train using weighted data points. If it does, the model will train assuming the weights. The values returned by this method may change depending on the parameters set for the model.

Returns:

true if the model supports weighted data, false otherwise

clone

public PlattCalibration clone()

Specified by:

clone in interface Classifier

Specified by:

clone in class BinaryCalibration