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LogisticRegressionAnalysis Methods

The LogisticRegressionAnalysis type exposes the following members.

Methods
  NameDescription
Public methodCompute Obsolete.
Computes the Logistic Regression Analysis.
Public methodCompute(LogisticRegression) Obsolete.
Computes the Logistic Regression Analysis for an already computed regression.
Public methodCompute(Double, Int32) Obsolete.
Computes the Logistic Regression Analysis.
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 methodStatic memberFromSummary Obsolete.
Creates a new LogisticRegressionAnalysis from summarized data. In summary data, instead of having a set of inputs and their associated outputs, we have the number of times an input vector had a positive label in the data set and how many times it had a negative label.
Public methodGetConfidenceInterval
Gets the confidence interval for a given input.
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetLikelihoodRatio Obsolete.
Gets the Log-Likelihood Ratio between this model and another model.
Public methodGetPredictionInterval
Gets the prediction interval for a given input.
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
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.
Public methodLearn(Double, Int32, Int32)
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 methodToString
Returns a string that represents the current object.
(Inherited from Object.)
Public methodTransform(TInput)
Applies the transformation to a set of input vectors, producing an associated set of output vectors.
(Inherited from TransformBaseTInput, TOutput.)
Public methodTransform(Double)
Applies the transformation to an input, producing an associated output.
(Overrides TransformBaseTInput, TOutputTransform(TInput).)
Public methodTransform(TInput, TOutput)
Applies the transformation to an input, producing an associated output.
(Inherited from TransformBaseTInput, TOutput.)
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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