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BaseAveragedStochasticGradientDescentTModel, TKernel, TInput, TLoss Properties

The BaseAveragedStochasticGradientDescentTModel, TKernel, TInput, TLoss generic type exposes the following members.

Public propertyCurrentEpoch
Gets or sets the current epoch counter.
Public propertyIterations Obsolete.
Please use MaxIterations instead.
Public propertyKernel
Gets or sets the kernel function use to create a kernel Support Vector Machine.
Public propertyLambda
Gets or sets the lambda regularization term. Default is 0.5.
Public propertyLearningRate
Gets or sets the learning rate for the SGD algorithm.
Public propertyLoss
Gets or sets the loss function to be used. Default is to use the LogisticLoss.
Public propertyMaxIterations
Public propertyModel
Gets or sets the classifier being learned.
(Inherited from BinaryLearningBaseTModel, TInput.)
Public propertyParallelOptions
Gets or sets the parallelization options for this algorithm.
Public propertyToken
Gets or sets a cancellation token that can be used to cancel the algorithm while it is running.
(Overrides BinaryLearningBaseTModel, TInputToken.)
Public propertyTolerance
Gets or sets the maximum relative change in the watched value after an iteration of the algorithm used to detect convergence. Default is 1e-3. If set to 0, the loss will not be computed during learning and execution will be faster.
See Also