GenericLossFunction$ |
GradientDescent
Base class which performs Stochastic Gradient Descent optimization using mini batches.
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GradientDescent$
Implementation of a Gradient Descent solver.
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HingeLoss$
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IterativeSolver
An abstract class for iterative optimization algorithms
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IterativeSolver.ConvergenceThreshold$ |
IterativeSolver.Iterations$ |
IterativeSolver.LearningRate$ |
IterativeSolver.LearningRateMethodValue$ |
IterativeSolver$ |
L1Regularization$
L_1 regularization penalty.
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L2Regularization$
L_2 regularization penalty.
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LearningRateMethod.Bottou$ |
LearningRateMethod.Constant$ |
LearningRateMethod.Default$ |
LearningRateMethod.InvScaling$ |
LearningRateMethod.LearningRateMethodTrait |
LearningRateMethod.Xu$ |
LearningRateMethod$ |
LinearPrediction$
A linear prediction function
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LogisticLoss$
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LossFunction
Abstract class that implements some of the functionality for common loss functions
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NoRegularization$
No regularization penalty.
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PartialLossFunction
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PredictionFunction
An abstract class for prediction functions to be used in optimization
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RegularizationPenalty
Represents a type of regularization penalty
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Solver
Base class for optimization algorithms
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Solver.LossFunction$ |
Solver.RegularizationConstant$ |
Solver.RegularizationPenaltyValue$ |
Solver$ |
SquaredLoss$
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