batch_gradient_descent: Batch gradient descent

In AlexandreRives/RegLog-EDA: Logistic Regression

Description

Batch gradient descent computes the gradient using the whole dataset

Usage

batch_gradient_descent(
  df,
  var_X,
  var_y,
  learning_rate,
  max_iter,
  graph,
  epsilon
)

Arguments

df	dataset
var_X	names of the X columns
var_y	names of the Y columns
learning_rate	the learning rate
max_iter	number of iterations
graph	TRUE if you want to plot the cost list while the gradient descent is running.
epsilon	Tolerance's threshold of the cost list convergence.

Value

list of theta and the cost list

Author(s)

Frintz Elisa, NDiaye Deffa, Rives Alexandre

AlexandreRives/RegLog-EDA documentation built on Dec. 17, 2021, 7:50 a.m.