MultivariateKernelRegression Properties

Gets or sets the original input data that is needed to compute the kernel (Gram) matrices for the regression.

Gets or sets the grand mean of the data in feature space (to center samples).

Gets or sets the means of the data in feature space (to center samples).

Gets or sets the intercept value for the regression.

Gets or sets the kernel function.

Gets or sets the mean values (to be subtracted from samples).

Gets the number of inputs accepted by the model.

Gets the number of outputs generated by the model.

Gets or sets the standard deviations (to be divided from samples).

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.