gradient_descent_loss: Loss of OLS model based on out-of-sample accuracy

In nixgank-wang/bis557: What the Package Does (One Line, Title Case)

Description

This function fits OLS model using gradient descent that calculates the loss based on out-of-sample accuracy

Usage

gradient_descent_loss(form, data, alpha, num_iters, v)

Arguments

form	A given formula for fitting the regression
data	A given dataset to fit the model
alpha	The learning rate
num_iters	The number of iterations
v	The number of folds when implementing n-folds cross-validation

Examples

library(palmerpenguins)
data(penguins)
gradient_descent_loss(bill_length_mm ~ ., data = penguins[,-8],alpha=0.1,num_iters=1000)

nixgank-wang/bis557 documentation built on Dec. 26, 2020, 9:54 p.m.