SymbolicSgdLogisticRegressionBinaryTrainer.Options Class

Definition

Namespace:

Microsoft.ML.Trainers

Assembly:

Microsoft.ML.Mkl.Components.dll

Package:

Microsoft.ML.Mkl.Components v3.0.1

Options for the SymbolicSgdLogisticRegressionBinaryTrainer as used in SymbolicSgdLogisticRegression(BinaryClassificationCatalog+BinaryClassificationTrainers, SymbolicSgdLogisticRegressionBinaryTrainer+Options).

public sealed class SymbolicSgdLogisticRegressionBinaryTrainer.Options : Microsoft.ML.Trainers.TrainerInputBaseWithLabel

type SymbolicSgdLogisticRegressionBinaryTrainer.Options = class
    inherit TrainerInputBaseWithLabel

Public NotInheritable Class SymbolicSgdLogisticRegressionBinaryTrainer.Options
Inherits TrainerInputBaseWithLabel

Inheritance

Object

TrainerInputBase

TrainerInputBaseWithLabel

SymbolicSgdLogisticRegressionBinaryTrainer.Options

Constructors

SymbolicSgdLogisticRegressionBinaryTrainer.Options()

Fields

FeatureColumnName	Column to use for features. (Inherited from TrainerInputBase)
L2Regularization	L2 regularization.
LabelColumnName	Column to use for labels. (Inherited from TrainerInputBaseWithLabel)
LearningRate	Learning rate. A larger value can potentially reduce the training time but incur numerical instability and over-fitting.
MemorySize	The acceleration memory budget in MB.
NumberOfIterations	Number of passes over the data.
NumberOfThreads	Degree of lock-free parallelism. Determinism not guaranteed if this is set to higher than 1. The default value is the number of logical cores that are available on the system.
PositiveInstanceWeight	Apply weight to the positive class, for imbalanced data.
Shuffle	Set to true causes the data to shuffle.
Tolerance	Tolerance for difference in average loss in consecutive passes. If the reduction on loss is smaller than the specified tolerance in one iteration, the training process will be terminated.
UpdateFrequency	The number of iterations each thread learns a local model until combining it with the global model. Low value means more updated global model and high value means less cache traffic.