cout: CostFunction
In FD155/ProjetR: Logistic Regression
Description
Usage
Arguments
Examples
Description
A loss function is a method of evaluating how well your algorithm models your datasets
If they're pretty good, it will output a lower number
Usage
1
cout(x, y, theta)
Arguments
x
Matrix of explanatory variables to predict
y
Target Variable Matrix
theta
Coefficient matrix for logistic regression
Examples
1
FD155/ProjetR documentation built on Dec. 17, 2021, 7:31 p.m.
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Description Usage Arguments Examples
Description
A loss function is a method of evaluating how well your algorithm models your datasets If they're pretty good, it will output a lower number
Usage
1 | cout(x, y, theta)
|
Arguments
x |
Matrix of explanatory variables to predict |
y |
Target Variable Matrix |
theta |
Coefficient matrix for logistic regression |
Examples
1 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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