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MultivariateKernelRegressionTKernel Properties |
The MultivariateKernelRegressionTKernel generic type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | BasisVectors |
Gets or sets the original input data that is needed to
compute the kernel (Gram) matrices for the regression.
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| FeatureGrandMean |
Gets or sets the grand mean of the data in feature space (to center samples).
|
| FeatureMeans |
Gets or sets the means of the data in feature space (to center samples).
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| Intercept | Obsolete.
Gets or sets the intercept value for the regression.
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| Kernel |
Gets or sets the kernel function.
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| Means |
Gets or sets the mean values (to be subtracted from samples).
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| NumberOfInputs |
Gets the number of inputs accepted by the model.
(Inherited from TransformBaseTInput, TOutput.) |
| NumberOfOutputs |
Gets the number of outputs generated by the model.
(Inherited from TransformBaseTInput, TOutput.) |
| StandardDeviations |
Gets or sets the standard deviations (to be divided from samples).
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| Weights |
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.
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See Also