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Accord.NET (logo) MultivariateLinearRegression Methods

The MultivariateLinearRegression type exposes the following members.

Methods
  NameDescription
Public methodCoefficientOfDetermination(Double, Double)
Gets the coefficient of determination, as known as R² (r-squared).
Public methodCoefficientOfDetermination(Double, Double, Boolean)
Gets the coefficient of determination, as known as R² (r-squared).
Public methodCompute(Double) Obsolete.
Computes the Multiple Linear Regression output for a given input.
Public methodCompute(Double) Obsolete.
Computes the Multiple Linear Regression output for a given input.
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 memberFromCoefficients Obsolete.
Creates a new linear regression from the regression coefficients.
Public methodStatic memberFromData
Creates a new linear regression directly from data points.
Public methodGetConfidenceInterval
Gets the confidence interval for an input point.
Public methodGetDegreesOfFreedom
Gets the degrees of freedom when fitting the regression.
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetPredictionInterval
Gets the prediction interval for an input point.
Public methodGetPredictionStandardError
Gets the standard error of the prediction for a particular input vector.
Public methodGetStandardError(Double, Double)
Gets the overall regression standard error.
Public methodGetStandardError(Double, Double, Double)
Gets the standard error of the fit for a particular input vector.
Public methodGetStandardErrors
Gets the standard error for each coefficient.
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Public methodInverse
Creates the inverse regression, a regression that can recover the input data given the outputs of this current regression.
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodRegress Obsolete.
Performs the regression using the input vectors and output vectors, returning the sum of squared errors of the fit.
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
Public methodTransform(TInput)
Applies the transformation to an input, producing an associated output.
(Inherited from MultipleTransformBaseTInput, TOutput.)
Public methodTransform(TInput)
Applies the transformation to a set of input vectors, producing an associated set of output vectors.
(Inherited from MultipleTransformBaseTInput, TOutput.)
Public methodTransform(TInput, TOutput)
Applies the transformation to an input, producing an associated output.
(Inherited from MultipleTransformBaseTInput, TOutput.)
Public methodTransform(Double, Double)
Applies the transformation to an input, producing an associated output.
(Overrides MultipleTransformBaseTInput, TOutputTransform(TInput, 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 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.)
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 Matrix.)
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See Also