Fit an MVPA model — fit_model.mvpa_model • rMVPA

This function fits a multivariate pattern analysis (MVPA) model to the given data.

Usage

# S3 method for mvpa_model
fit_model(obj, x, y, wts, param, classProbs, ...)

Arguments

obj: An object derived from the mvpa_model class.
x: The training data matrix.
y: The response vector.
wts: Optional class weights (if the underlying model supports it).
param: The hyperparameters of the model.
classProbs: Logical; if TRUE, class probabilities should be computed (default is FALSE).
...: Additional arguments to be passed to the underlying model fitting function.

Value

A fitted model object with additional attributes "obsLevels" and "problemType".