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LogisticGradientDescent Class

Stochastic Gradient Descent learning for Logistic Regression fitting.
Inheritance Hierarchy
SystemObject
  Accord.Statistics.Models.Regression.FittingLogisticGradientDescent

Namespace:  Accord.Statistics.Models.Regression.Fitting
Assembly:  Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
Syntax
public class LogisticGradientDescent : ISupervisedLearning<LogisticRegression, double[], int>, 
	ISupervisedLearning<LogisticRegression, double[], bool>, ISupervisedLearning<LogisticRegression, double[], double>, 
	IConvergenceLearning
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The LogisticGradientDescent type exposes the following members.

Constructors
  NameDescription
Public methodLogisticGradientDescent
Constructs a new Gradient Descent algorithm.
Public methodLogisticGradientDescent(LogisticRegression)
Constructs a new Gradient Descent algorithm.
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Properties
  NameDescription
Public propertyCurrentIteration
Gets the current iteration number.
Public propertyGradient
Gets the Gradient vector computed in the last Newton-Raphson iteration.
Public propertyHasConverged
Gets or sets whether the algorithm has converged.
Public propertyIterations Obsolete.
Please use MaxIterations instead.
Public propertyLearningRate
Gets or sets the algorithm learning rate. Default is 0.1.
Public propertyMaxIterations
Gets or sets the maximum number of iterations performed by the learning algorithm.
Public propertyParameters
Gets the total number of parameters in the model.
Public propertyPrevious
Gets the previous values for the coefficients which were in place before the last learning iteration was performed.
Public propertySolution
Gets the current values for the coefficients.
Public propertyStochastic
Gets or sets whether this algorithm should use stochastic updates or not. Default is false.
Public propertyToken
Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.
Public propertyTolerance
Gets or sets the tolerance value used to determine whether the algorithm has converged.
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Methods
  NameDescription
Public methodComputeError Obsolete.
Computes the sum-of-squared error between the model outputs and the expected outputs.
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.)
Public methodLearn(Double, Boolean, Double)
Learns a model that can map the given inputs to the given outputs.
Public methodLearn(Double, Double, Double)
Learns a model that can map the given inputs to the given outputs.
Public methodLearn(Double, Int32, Double)
Learns a model that can map the given inputs to the given outputs.
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodRun(Double, Double) Obsolete.
Runs a single pass of the gradient descent algorithm.
Public methodRun(Double, Double) Obsolete.
Runs one iteration of the Reweighted Least Squares algorithm.
Public methodRun(Double, Double) Obsolete.
Runs one iteration of the Reweighted Least Squares algorithm.
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