predict.svm: Predict using SVM object

In gmum.r: GMUM Machine Learning Group Package

Description

Returns predicted classes or distance to discriminative for provided test examples.

Usage

## S3 method for class 'Rcpp_SVMClient'
predict(object, x_test, decision.function = FALSE,
  ...)

Arguments

object	Trained SVM object
x_test	Unlabeled data, in one of the following formats: data.frame, data.matrix, SparseM::matrix.csr, Matrix::Matrix, slam::simple_triplet_matrix
decision.function	Uf TRUE returns SVMs decision function (distance of a point from discriminant) instead of predicted labels, default: FALSE
...	other arguments not used by this method.

Examples

## Not run: 
# firstly, SVM model needs to be trained
svm <- SVM(x, y, core="libsvm", kernel="linear", C=1)
# then we can use it to predict unknown samples
predcit(svm, x_test)

## End(Not run)

gmum.r documentation built on May 29, 2017, 3:52 p.m.