Model {Microsoft.VisualBasic.MachineLearning.SVM}

.NET clr documentation

Model

Description

Encapsulates an SVM Model.

Declare

            
# namespace Microsoft.VisualBasic.MachineLearning.SVM
export class Model {
   # Class labels.
   classLabels: integer;
   dimensionNames: string;
   # Number of classes in the model.
   numberOfClasses: integer;
   # Number of support vectors per class.
   numberOfSVPerClass: integer;
   # First pairwise probability.
   pairwiseProbabilityA: double;
   # Second pairwise probability.
   pairwiseProbabilityB: double;
   # Parameter object.
   parameter: Parameter;
   # Constants in decision functions
   rho: double;
   # The coefficients for the support vectors.
   supportVectorCoefficients: Double[][];
   # Total number of support vectors.
   supportVectorCount: integer;
   # Values in [1,...,numtrainingdata] to indicate SVs in the training set
   supportVectorIndices: integer;
   # The support vectors.
   supportVectors: Node[][];
   trainingSize: integer;
}

        

.NET clr type reference tree

1. use by property member parameter: Parameter
2. use by property member supportVectorCoefficients: Double[]
3. use by property member supportVectors: Node[]

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