AntonAntonov/MonadicQuantileRegression | Paclet Repository

AntonAntonov`MonadicQuantileRegression`

QRMonNetRegression

Regression using a neural network.

Details and Options

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The following options can be given:

	InterpolationOrder	3	InterpolationOrder is an option for Interpolation, as well as ListLinePlot, ListPlot3D, ListContourPlot, and related functions, that specifies what order of interpolation to use.
	BatchSize	Automatic	BatchSize is an option for NetTrain and related functions that specifies the size of a batch of examples to process together.
	LearningRate	Automatic	LearningRate is an option for NetTrain that specifies the rate at which to adjust neural net weights in order to minimize the training loss.
	LearningRateMultipliers	Automatic	LearningRateMultipliers is an option for net layers and for NetTrain, NetChain, NetGraph that specifies learning rate multipliers to apply during training.
	LossFunction	Automatic	LossFunction is an option for NetTrain that specifies how to compare actual and requested outputs from a neural net.
	MaxTrainingRounds	Automatic	MaxTrainingRounds is an option for NetTrain and related functions that specifies the maximum number of rounds of training to do.
	Method	Automatic	Method is an option for various algorithm-intensive functions that specifies what internal methods they should use.
	PerformanceGoal	Automatic	PerformanceGoal is an option for various algorithmic and presentational functions that specifies what aspect of performance to try to optimize with Automatic settings for options.
	RandomSeeding	1234	RandomSeeding is an option that specifies what seeding of pseudorandom generators should be done inside the operation of a function.
	TargetDevice	"CPU"	TargetDevice is an option for certain functions that specifies whether CPU or GPU computation should be attempted.
	TimeGoal	Automatic	TimeGoal is an option for various functions that specifies how long to spend doing a particular operation.
	TrainingProgressCheckpointing	None	TrainingProgressCheckpointing is an option for NetTrain that specifies how to save copies of the net during training.
	TrainingProgressFunction	None	TrainingProgressFunction is an option for NetTrain that specifies a function to run periodically during training.
	TrainingProgressMeasurements	Automatic	TrainingProgressMeasurements is an option for NetTrain that specifies measurements to make while training is in progress.
	TrainingProgressReporting	Automatic	TrainingProgressReporting is an option for NetTrain and related functions that specifies how to report the progress of training.
	TrainingStoppingCriterion	None	TrainingStoppingCriterion is an option for NetTrain that specifies a criterion for stopping training early in order to prevent overfitting.
	TrainingUpdateSchedule	Automatic	TrainingUpdateSchedule is an option for NetTrain that specifies which arrays of the network can be updated at each step of the optimization process.
	ValidationSet	None	ValidationSet is an option for Predict, Classify, NetTrain, and related functions that specifies the validation set to be used during the training phase.
	WorkingPrecision	Automatic	WorkingPrecision is an option for various numerical operations that specifies how many digits of precision should be maintained in internal computations.

Examples

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