Internal functions in package modeltuner

These functions are mainly for internal purposes and will normally not be called directly by the user.

Usage

add_cv_info(x, cvobj, ...)

prnt_cv_info(x, ...)

eval_crit(crit, x, ...)

has_cv_fits(x)

oos_indices(folds)

cv_simple(x, folds, metric, iter, keep_fits, verbose, ...)

evlog_int(classObj, x, metric, eval_weights, na.rm, ...)

extract(x, i)

cb_xgb_iteration(period = 1, prefix = "", keep_final_msg = FALSE)

get_xy(object, data, weights = NULL, ...)

get_xy2(data, weights = NULL, ...)

prnt_compact(x, ...)

Details

add_cv_info() is a generic auxiliary function adding info from cv to a model. Apply to model, returns model.

eval_crit() is a generic auxiliary function evaluating preference criteria for a given ifms.

has_cv_fits() is a generic auxiliary function that discerns whether a cv contains the cross-validation fits or not.

oos_indices() identifies the out-of-sample indices in a predictions matrix.

cv_simple() is a generic function performing cross-validation for one model.

evlog_int() is a generic function performing internal calculations in evaluation_log().

extract() is a generic extraction function used internally.

cb_xgb_iteration() is a callback function used when a xgboost model is cross-validated if verbose=TRUE. It is a reduced version of cb.print.evaluation

get_xy() is a generic taking formula and data, returns list of x matrix, y vector and terms object. Designed for internal use in formula-interface wrappers.

get_xy2() is a generic dispatching on the second argument, data.

prnt_compact() and prnt_cv_info() are generic utility functions used in some print methods.