We need your help! 🔥

Please consider disabling your ad-blocker to support this website! 🔑
We are a free, community-supported website! 🥰
We only display small unobtrusive ads which help us stay online! 💯
Thank you in advance! ❤️


Data


Data Sets


Generate


Machine Learning


Math


Mesh


Models


Panels


Serialization


Structure

Trainer Types


Util


Workflow

Logistic Regression

Solver for Logistic regression problems.

Inputs

Name	ID	Description	Type
Test Data	Test	Data to test against training data.	Number
Training Inputs	Inputs	The list of training inputs.	Number
Training Output	Output	The list of training outputs.	Boolean
Tolerance	Tol	Tolerance value to use to determine of the algorithm has converged.	Number
Maximum Iterations	MaxIter	Maximum number of iterations performed by the algorithm	Integer
Regularization Value	Regular	Regularization value to be added to the objective function.	Number
Random Seed	seed	Random seed for the learning algorithm	Integer