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conformalClassification (version 1.0.0)

Transductive and Inductive Conformal Predictions for Classification Problems

Description

Implementation of transductive conformal prediction (see Vovk, 2013, ) and inductive conformal prediction (see Balasubramanian et al., 2014, ISBN:9780124017153) for classification problems.

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Install

install.packages('conformalClassification')

Monthly Downloads

246

Version

1.0.0

License

GPL-3

Maintainer

Niharika Gauraha

Last Published

December 22nd, 2017

Functions in conformalClassification (1.0.0)

TCPClassification

Class-conditional transductive conformal classifier for multi-class problems
conformalClassification

A Conformal Prediction R Package for Classification
parTCPClassification

Class-conditional transductive conformal classifier for multi-class problems, paralled computations
CPCalibrationPlot

Plots the calibration plot
tcpPValues

Fits the model and computes p-values
CPEfficiency

Computes efficiency of a conformal predictor, which is defined as the ratio of predictions with more than one class over the size of the testset
fitModel

Fits the model and returns the fitted model
CPErrorRate

Computes error rate of a conformal predictor, which is defined as the ratio of predictions with missing true class lables over the size of the testset
CPObsFuzziness

Computes observed fuzziness, which is defined as the sum of all p-values for the incorrect class labels.
CPValidity

Computes the deviation from exact validity as the Euclidean norm of the difference of the observed error and the expected error
ICPClassification

Class-conditional Inductive conformal classifier for multi-class problems