fit_reg_log: ————-#

In AlexandreRives/RegLog-EDA: Logistic Regression

Description

                LogRegEDA
           Logistic Regression

Usage

fit_reg_log(
  formula,
  data,
  mode,
  batch_size,
  normalize = FALSE,
  learning_rate = 0.1,
  max_iter = 100,
  cores = 1,
  graph = FALSE,
  epsilon = 1e-05
)

Arguments

formula	Enter the target and the feature.
data	the data frame.
mode	choose between : batch, mini-batch or online.
batch_size	the number of observations for the mini batch mode.
normalize	TRUE if you want to scale your features. It doesn't take the qualitative data.
learning_rate	used for the gradient descent.
max_iter	number of iterations.
cores	the number of cores to run the fit function faster.
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.

Details

——————————————————-#

Fit function

Function that return a trained dataset using the gradient descent.

Value

object used to the predicted part

A fitted dataset

Author(s)

Frintz Elisa, NDiaye Deffa, Rives Alexandre

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