Fit Model — fit_model • rMVPA

Fit a classification or regression model.

Usage

fit_model(
  obj,
  roi_x,
  y,
  wts,
  param,
  lev = NULL,
  last = FALSE,
  classProbs = FALSE,
  ...
)

Arguments

obj: A model fitting object.
roi_x: An ROI containing the training data.
y: The response vector.
wts: A set of case weights.
param: Tuning parameters.
lev: Factor levels (for classification).
last: Logical indicating if this is the last iteration.
classProbs: Logical indicating if class probabilities should be returned.
...: Additional arguments to be passed to the method-specific function.

Examples

# \donttest{
  ds <- gen_sample_dataset(
    D = c(6, 6, 6), nobs = 20,
    response_type = "categorical",
    data_mode = "image", nlevels = 2
  )
  mdl <- load_model("sda_notune")
  mspec <- mvpa_model(
    model = mdl,
    dataset = ds$dataset,
    design  = ds$design,
    model_type = "classification"
  )
  grid <- tune_grid(mspec, ds$dataset$train_data, ds$design$y_train, len = 1)
  fit  <- fit_model(mspec, ds$dataset$train_data,
                   ds$design$y_train, wts = NULL, param = grid)
#> Error in UseMethod("fit_model"): no applicable method for 'fit_model' applied to an object of class "c('mvpa_model', 'model_spec', 'list')"
# }