nuget
The JSON serializable data model of a trained LibSVM model.
Model
01 Syntax
Microsoft.VisualBasic.MachineLearning.SVM.StorageProcedure.Model
02 Methods
| Name | Overloads | Summary |
|---|---|---|
| CreateJSONModel | 1 | Create the JSON data model from a trained LibSVM model object. |
| CreateModel | 1 | Restore the trained LibSVM model object from this JSON data model. |
03 Properties
| Name | Overloads | Summary |
|---|---|---|
| parameter | 1 | Parameter object. |
| numberOfClasses | 1 | Number of classes in the model. |
| supportVectorCount | 1 | Total number of support vectors. |
| supportVectors | 1 | The support vectors. |
| supportVectorCoefficients | 1 | The coefficients for the support vectors. |
| supportVectorIndices | 1 | Values in [1,...,num_training_data] to indicate SVs in the training set |
| rho | 1 | Constants in decision functions |
| pairwiseProbabilityA | 1 | First pairwise probability. |
| pairwiseProbabilityB | 1 | Second pairwise probability. |
| classLabels | 1 | Class labels. |
| numberOfSVPerClass | 1 | Number of support vectors per class. |
| dimensionNames | 1 | The names of the feature dimensions of the training data. |
| trainingSize | 1 | The number of the samples which was used for training this model. |
04 Members
CreateJSONModel(Model)
Create the JSON data model from a trained LibSVM model object.
Parameters
Returns
A Model data model which is ready for JSON serialization.
CreateModel
Restore the trained LibSVM model object from this JSON data model.
Returns
A Model object which is reconstructed from the JSON data.
parameter
Parameter object.
numberOfClasses
Number of classes in the model.
supportVectorCount
Total number of support vectors.
supportVectors
The support vectors.
supportVectorCoefficients
The coefficients for the support vectors.
supportVectorIndices
Values in [1,...,num_training_data] to indicate SVs in the training set
rho
Constants in decision functions
pairwiseProbabilityA
First pairwise probability.
pairwiseProbabilityB
Second pairwise probability.
classLabels
Class labels.
numberOfSVPerClass
Number of support vectors per class.
dimensionNames
The names of the feature dimensions of the training data.
Returns
An array of the dimension names.
trainingSize
The number of the samples which was used for training this model.
Returns
An Int32 value.