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SVM_Train
Trains SVM model
| Name | Type | Description | |
|---|---|---|---|
 |
inSvmModel | SvmModel | Initialized SVM model |
|
inVectorArray | RealArrayArray | Training data vector array |
|
inAnswerArray | IntegerArray | Correct classes for data vectors |
 |
outTrainedSvmModel | SvmModel | Trained model |
|
outTrainingAccuracy | Real | Accuracy of prediction on training set |
Description
The operation trains an SVM classifier initialized beforehand by SVM_Init function. It takes two arrays as arguments:
- inVectorArray, an array of data points with known classes
- inAnswerArray, an array of classes where the corresponding data points belong
Those two arrays have to be of the same size. Moreover, there have to be at least two classes within the training data set.
The output outTrainedSvmModel is an SVM_Model that may be used by SVM_Classify function.
outTrainingAccuracy is the fraction of correctly classified training data points.
Errors
This filter can throw an exception to report error. Read how to deal with errors here: Error Handling
| Error type | Description |
|---|---|
| DomainError | Incompatible array sizes in SVM Train |
| DomainError | Incorrect or uninitialized SvmModel in Svm_Train. |
| DomainError | Cannot re-train SvmModel. |
| DomainError | Data vector cannot be empty in SVM_Train |
| DomainError | Incompatible vector sizes in SVM_Train |
Complexity Level
This filter is available on Expert Complexity Level.
