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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

NameIDDescriptionType
Enforce Non-NegativityNon-NegativityEnforce non-negative weights.Boolean
L1 RegularizationL1 RegularizationThe L1 regularization weight.Number
L2 RegularizationL2 RegularizationThe L2 regularization weight.Number
History SizeHistory SizeNumber of previous iterations to remember for estimating the Hessian. Lower values mean faster but less accurate estimates.Integer
Optimization ToleranceToleranceTolerance parameter for optimization convergence. (Low = slower, more accurate).Number

Outputs

NameIDDescriptionType
Trainer TypeTrainer TypeThe trainer used for machine learning problems.Generic

Video Tutorials

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