predict.LiblineaR.ACF: Predictions with LiblineaR.ACF model

In aydindemircioglu/LiblineaR.ACF: Linear Classification with Online Adaptation of Coordinate Frequencies

Description

The function applies a classification model produced by the LiblineaR.ACF function to every row of a data matrix and returns the model predictions.

Usage

## S3 method for class 'LiblineaR.ACF'
predict(object, newx, decisionValues = FALSE, ...)

Arguments

object	Object of class "LiblineaR.ACF", created by LiblineaR.ACF.
newx	An n x p matrix containing the new input data. A vector will be transformed to a n x 1 matrix. A sparse matrix (from SparseM package) will also work.
decisionValues	Logical indicating whether model decision values should be computed and returned. Default is FALSE.
...	Currently not used

Value

By default, the returned value is a list with a single entry:

predictions

A vector of predicted labels.

If decisionValues is set to TRUE, an additional entry is returned:

decisionValues

An n x k matrix (k number of classes) of the model decision values. The columns of this matrix are named after class labels.

Note

If the data on which the model has been fitted have been centered and/or scaled, it is very important to apply the same process on the newx data as well, with the scale and center values of the training data.

Author(s)

Thibault Helleputte [e-mail] and Pierre Gramme [e-mail].
Modified by Aydin Demircioglu.
Based on C/C++-code by Chih-Chung Chang and Chih-Jen Lin

References

• For more information on LIBLINEAR itself, refer to:
  R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin.
  LIBLINEAR: A Library for Large Linear Classification,
  Journal of Machine Learning Research 9(2008), 1871-1874.
  http://www.csie.ntu.edu.tw/~cjlin/liblinear

See Also

LiblineaR.ACF

aydindemircioglu/LiblineaR.ACF documentation built on May 11, 2019, 4:13 p.m.