A collection of trained svm data model that can be apply for multiple dimension class classify analysis.
SVMMultipleSet
01 Syntax
Microsoft.VisualBasic.MachineLearning.SVM.SVMMultipleSet
02 Methods
| Name | Overloads | Summary |
|---|---|---|
| trainingSize | 1 | Gets the number of the training samples which was used by the models in this multiple model set. |
03 Properties
| Name | Overloads | Summary |
|---|---|---|
| dimensionNames | 1 | The names of the feature dimensions of this multiple model set. |
| topics | 1 | The trained support vector machine models, the dictionary key is the name of the target class. |
04 Members
trainingSize
Gets the number of the training samples which was used by the models in this multiple model set.
Returns
The number of the training samples.
dimensionNames
The names of the feature dimensions of this multiple model set.
Returns
An array of the dimension names.
topics
The trained support vector machine models, the dictionary key is the name of the target class.
Returns
A dictionary which maps the class name to its SVMModel.