setup_parallel: Setup Parallel Processing for Portfolio Analysis

In REN: Regularization Ensemble for Robust Portfolio Optimization

Setup Parallel Processing for Portfolio Analysis

Description

This function sets up parallel processing by loading necessary libraries, allowing the user to specify the number of cores to use, and creating a parallel backend for faster computation.

Usage

setup_parallel(num_cores = 7)

Arguments

num_cores

The default number of cores to use for parallel processing. Default is 7.

Details

This function allows the user to specify the number of cores for parallel processing either through the argument num_cores or via interactive user input. The function also loads a set of libraries required for portfolio analysis.

Value

A parallel cluster object that can be used with functions that support parallel computation.

Examples

# Set up parallel processing with a specified number of cores
cl <- setup_parallel(num_cores = 2)  # Use 2 cores for the example
print(cl)  # Print the cluster information
parallel::stopCluster(cl)  # Stop the cluster after use to clean up

REN documentation built on Oct. 10, 2024, 5:06 p.m.