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ParallelLearningBase Class
Base class for parallel learning algorithms.
Inheritance Hierarchy
SystemObject
  Accord.MachineLearningParallelLearningBase
    More...

Namespace:  Accord.MachineLearning
Assembly:  Accord.Math (in Accord.Math.dll) Version: 3.8.0
Syntax
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[SerializableAttribute]
public class ParallelLearningBase : IParallel, 
	ISupportsCancellation
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The ParallelLearningBase type exposes the following members.

Constructors
  NameDescription
Public methodParallelLearningBase
Initializes a new instance of the ParallelLearningBase class.
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Properties
  NameDescription
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.
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Methods
  NameDescription
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Protected methodFinalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
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Extension Methods
  NameDescription
Public Extension MethodHasMethod
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.)
Public Extension MethodIsEqual
Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.
(Defined by Matrix.)
Public Extension MethodTo(Type)Overloaded.
Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.)
Public Extension MethodToTOverloaded.
Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.)
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See Also
Inheritance Hierarchy
SystemObject
  Accord.MachineLearningParallelLearningBase
    Accord.MachineLearningBagOfWords
    Accord.MachineLearningBaseBagOfWordsTModel, TInput, TClustering
    Accord.MachineLearningBaseBagOfWordsTModel, TPoint, TFeature, TClustering, TExtractor, TInput
    Accord.MachineLearning.Boosting.LearnersThresholdLearning
    Accord.MachineLearning.DecisionTrees.LearningDecisionTreeLearningBase
    Accord.MachineLearning.DecisionTreesRandomForestLearning
    Accord.MachineLearningGaussianMixtureModel
    Accord.MachineLearningKMeans
    Accord.MachineLearningKMedoidsT
    Accord.MachineLearningKModesT
    Accord.MachineLearningMeanShift
    Accord.MachineLearningOneVsOneLearningTInput, TBinary, TModel
    Accord.MachineLearningOneVsRestLearningTInput, TBinary, TModel
    Accord.MachineLearning.PerformanceBaseGridSearchTResult, TModel, TRange, TParam, TLearner, TInput, TOutput
    Accord.MachineLearning.PerformanceBaseSplitSetValidationTResult, TModel, TLearner, TInput, TOutput
    Accord.MachineLearningTFIDF
    Accord.Math.OptimizationBaseLeastSquaresMethod
    Accord.Statistics.Distributions.FittingExpectationMaximizationTObservation
    Accord.Statistics.Distributions.FittingLogExpectationMaximizationTObservation
    Accord.Statistics.Models.Fields.LearningForwardBackwardGradientT
    Accord.Statistics.Models.Fields.LearningQuasiNewtonLearningT
    Accord.Statistics.Models.Markov.LearningBaseHiddenMarkovModelLearningTModel, TObservation