set_looper: Set looper.

In easyml: Easily Build and Evaluate Machine Learning Models

Description

This function decides which looper (a functional like lapply) to run. Please note this affects global state and sets the number of cores by ultimately running options(mc.cores = n_core).

Usage

set_looper(progress_bar = FALSE, n_core = 1)

Arguments

progress_bar	A logical vector of length one; specifies whether to display a progress bar during calculations. Defaults to TRUE.
n_core	An integer vector of length one; specifies the number of cores to use for this analysis. Currently only works on Mac OSx and Unix/Linux systems. Defaults to 1L.

Value

The looper to use depending on progress bar and whether to run in parallel or not.

See Also

Other setters: set_categorical_variables, set_column_names, set_cores, set_dependent_variable, set_independent_variables, set_looper_, set_measure, set_parallel, set_plot_model_performance, set_plot_predictions, set_preprocess, set_random_state, set_resample

easyml documentation built on June 26, 2017, 9:02 a.m.