Click or drag to resize
Accord.NET (logo)

MultivariateKernelRegression Properties

The MultivariateKernelRegression type exposes the following members.

Properties
  NameDescription
Public propertyBasisVectors
Gets or sets the original input data that is needed to compute the kernel (Gram) matrices for the regression.
(Inherited from MultivariateKernelRegressionTKernel.)
Public propertyFeatureGrandMean
Gets or sets the grand mean of the data in feature space (to center samples).
(Inherited from MultivariateKernelRegressionTKernel.)
Public propertyFeatureMeans
Gets or sets the means of the data in feature space (to center samples).
(Inherited from MultivariateKernelRegressionTKernel.)
Public propertyIntercept Obsolete.
Gets or sets the intercept value for the regression.
(Inherited from MultivariateKernelRegressionTKernel.)
Public propertyKernel
Gets or sets the kernel function.
(Inherited from MultivariateKernelRegressionTKernel.)
Public propertyMeans
Gets or sets the mean values (to be subtracted from samples).
(Inherited from MultivariateKernelRegressionTKernel.)
Public propertyNumberOfInputs
Gets the number of inputs accepted by the model.
(Inherited from TransformBaseTInput, TOutput.)
Public propertyNumberOfOutputs
Gets the number of outputs generated by the model.
(Inherited from TransformBaseTInput, TOutput.)
Public propertyStandardDeviations
Gets or sets the standard deviations (to be divided from samples).
(Inherited from MultivariateKernelRegressionTKernel.)
Public propertyWeights
Gets or sets the linear weights of the regression model. The intercept term is not stored in this vector, but is instead available through the Intercept property.
(Inherited from MultivariateKernelRegressionTKernel.)
Top
See Also