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Lbfgs Maximum Entropy Multiclass Classifier

The Lbfgs maximum entropy model is a generalization of linear regression. The major difference between the maximum entropy model and logistic regression is the number of classes supported in the considered classification problem.

Inputs

Name	ID	Description	Type
Enforce Non-Negativity	Non-Negativity	Enforce non-negative weights.	Boolean
L1 Regularization	L1 Regularization	The L1 regularization weight.	Number
L2 Regularization	L2 Regularization	The L2 regularization weight.	Number
History Size	History Size	Number of previous iterations to remember for estimating the Hessian. Lower values mean faster but less accurate estimates.	Integer
Optimization Tolerance	Tolerance	Tolerance parameter for optimization convergence. (Low = slower, more accurate).	Number