GenericLossFunction |
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GenericLossFunction$ |
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GradientDescent |
Base class which performs Stochastic Gradient Descent optimization using mini batches.
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GradientDescentL1 |
Implementation of a SGD solver with L1 regularization.
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GradientDescentL1$ |
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GradientDescentL2 |
Implementation of a SGD solver with L2 regularization.
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GradientDescentL2$ |
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IterativeSolver |
An abstract class for iterative optimization algorithms
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IterativeSolver.ConvergenceThreshold$ |
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IterativeSolver.Iterations$ |
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IterativeSolver.LearningRate$ |
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IterativeSolver.LearningRateMethodValue$ |
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IterativeSolver$ |
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LearningRateMethod |
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LearningRateMethod.Bottou |
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LearningRateMethod.Bottou$ |
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LearningRateMethod.Constant$ |
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LearningRateMethod.Default$ |
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LearningRateMethod.InvScaling |
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LearningRateMethod.InvScaling$ |
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LearningRateMethod.Xu |
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LearningRateMethod.Xu$ |
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LearningRateMethod$ |
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LinearPrediction |
A linear prediction function
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LinearPrediction$ |
A linear prediction function
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PredictionFunction |
An abstract class for prediction functions to be used in optimization
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SimpleGradientDescent |
Implementation of a SGD solver without regularization.
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SimpleGradientDescent$ |
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Solver |
Base class for optimization algorithms
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Solver.LossFunction$ |
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Solver.RegularizationConstant$ |
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Solver$ |
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SquaredLoss |
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SquaredLoss$ |
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