train_model: Train a classification, regression, or representational...

In bbuchsbaum/rMVPA: Multivoxel Pattern Analysis in R

Train a classification, regression, or representational model.

Description

This is a generic function that trains a model based on the provided model specification object. Different model types will have different methods implemented with specific parameters.

Usage

train_model(obj, ...)

Arguments

obj	The model specification object.
...	Additional arguments to be passed to the method-specific function.

Value

A trained model object. The exact return value depends on the specific method implementation.

Examples

  dset_info <- gen_sample_dataset(D = c(8, 8, 8), nobs = 20,
    response_type = "categorical", data_mode = "image", nlevels = 2)
  cval <- blocked_cross_validation(dset_info$design$block_var)
  sda_model <- load_model("sda_notune")
  mspec <- mvpa_model(
    model = sda_model,
    dataset = dset_info$dataset,
    design = dset_info$design,
    model_type = "classification",
    crossval = cval
  )
  fit <- train_model(
    mspec,
    dset_info$dataset$train_data,
    dset_info$design$y_train,
    indices = seq_len(ncol(dset_info$dataset$train_data))
  )

bbuchsbaum/rMVPA documentation built on June 10, 2025, 8:23 p.m.