nuget
A trained svm data model that can be apply for classify analysis.
SVMModel
01 Syntax
Microsoft.VisualBasic.MachineLearning.SVM.SVMModel
02 Methods
| Name | Overloads | Summary |
|---|---|---|
| ToString | 1 | Display the dimension names of this model as a json string. |
03 Properties
| Name | Overloads | Summary |
|---|---|---|
| model | 1 | The trained LibSVM model object which contains the support vectors and the decision coefficients. |
| transform | 1 | The range transform which is used for normalizing the input data before the prediction. |
| factors | 1 | use for get ColorClass based on the prediction result value |
| SVR | 1 | Does this model is a support vector regression (SVR) model? The SVR model is selected when the Parameter.svmType is either SvmType.EPSILON_SVR or SvmType.NU_SVR. |
| dimensionNames | 1 | The names of the feature dimensions of this model. |
04 Members
ToString
Display the dimension names of this model as a json string.
Returns
A json text which contains the dimension names.
model
The trained LibSVM model object which contains the support vectors and the decision coefficients.
Returns
A Model object.
transform
The range transform which is used for normalizing the input data before the prediction.
Returns
An IRangeTransform object.
factors
use for get ColorClass based on the prediction result value
Returns
A ClassEncoder object which maps the prediction result to the class label.
SVR
Does this model is a support vector regression (SVR) model? The SVR model is selected when the Parameter.svmType is either SvmType.EPSILON_SVR or SvmType.NU_SVR.
Returns
True when this model is a regression model, otherwise False for a classification model.
dimensionNames
The names of the feature dimensions of this model.
Returns
An array of the dimension names.