compute_cost: Cost Function Logistic Regression

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

Description

Compute the Cost Function for Logistic Regression.

Usage

compute_cost(x, y, theta, epsilon = 1e-05, regu_factor = NULL,
  regu_method = "ridge", ...)

Arguments

x	Matrix with the predictor variables
y	Matrix with the target variable
theta	Matrix with the theta's values for sigmoid function
epsilon	Numeric value
regu_factor	Regularization Factor for Ridge Regularization Regression
regu_method	Regularization Method. At this moment, only "ridge" available
...	Other possible arguments

Value

Returns the cost function

Author(s)

Alberto Almuiña

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