logistic_reg_comprobations: Logistic Regression Comprobations

In AlbertoAlmuinha/LogisticRegression: Logistic Regression Implementation for Binary Classification Problems

Description

Comprobations for the "logistic_regression" function parameters.

Usage

logistic_reg_comprobations(target, lr, max_iter, regu_factor, threshold,
  probs, epsilon)

Arguments

target	Variable target for logistic regression
lr	Learning rate for gradient descent algorithm
max_iter	Number of iterations for gradient descent algorithm
regu_factor	Regularization factor for Ridge Regularization
threshold	Threshold to stop gradient descent algorithm base on the value of the cost function
probs	If the results must be given like probabilities or not.
epsilon	Numeric parameter for computation

Value

Returns the mean values for the metric selected

Author(s)

Alberto Almuiña

AlbertoAlmuinha/LogisticRegression documentation built on Jan. 5, 2020, 9:18 a.m.