Community documentation for Grasshopper add-ons & plugins
Kernel SVM Trainer
This component trains a kernel-based Support Vector Machine (SVM) on an input training data set.
Inputs
| Name | ID | Description | Type |
|---|---|---|---|
| Training Inputs | Inputs | The training input data. | Generic Data |
| Training Classifications | Classifications | The list of classifications. | Generic Data |
| Kernel Type | Kernel | Kernel Type: (0) Linear (1) Gaussian (2) Laplacian (3) Polynomial (4) Sigmoid | Integer |
| K Folds | K Folds | The number of folds used during cross validation | Integer |
Outputs
| Name | ID | Description | Type |
|---|---|---|---|
| Support Vector Machine | SVM | Trained kernel-based Support Vector Machine (SVM) | Generic Data |
| Support Vectors | Vectors | Support Vectors | Number |
| Confusion Matrix | Confusion Matrix | The General Confusion Matrix based on the cross-validation training/testing splits. | Generic Data |
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