predict.spicer: predict.spicer

In VladoUzunangelov/SPICER: SPICER: SpicyMKL in R

Description

Computes predictions from Spicer model.

Usage

## S3 method for class 'spicer'
predict(model, kTest, type = "probability")

Arguments

model	SPICER model
kTest	a list of test kernels of dimensions nTrain, nTest, length(model$sorted_kern_weight) (can pass extra kernels so long as ones referenced in model$sorted_kern_weight are included). In the case of multiclass prediction, the third dimension of kTest should include all possible kernels for each pairwise classification task.
type	applicable for classification (binary & multiclass) only - "response" returns the predicted class labels, while "probability" returns the class probability (for classification, positive class is the second class label in model$opt$classes)

Value

Output is a prediction vector of length nTest computed by f(x)=sum{model$sorted_kern_weigth[i]*KTest[,,i]}*model$comb_alpha + model$beta

If prediction task is 'regression', output is continuous valued predictions.
If prediction task is 'classification' and type is 'response' - output is predicted labels.
If prediction task is 'classification' and type is 'probability' - output is probabilities of classes.

VladoUzunangelov/SPICER documentation built on July 20, 2020, 12:53 a.m.