Train SVM

None

Parameters

classifier: Classifier ( input )

output_classifier: Classifier ( output )

input_data: 2D Image ( input )

svm_mode: Choice ( input )

sigma: Float ( input )

C: Float ( input )

Technical information

Toolbox : Morphologist

User level : 2

Identifier : trainsvm

File name : brainvisa/toolboxes/morphologist/processes/Sulci/Tests/trainsvm.py

Supported file formats :

classifier :

SVM classifier, SVM classifier

output_classifier :

SVM classifier, SVM classifier

input_data :

gz compressed NIFTI-1 image, Aperio svs, DICOM image, Directory, ECAT i image, ECAT v image, FDF image, FreesurferMGH, FreesurferMGZ, GIS image, Hamamatsu ndpi, Hamamatsu vms, Hamamatsu vmu, JPEG image, Leica scn, MINC image, NIFTI-1 image, SPM image, Sakura svslide, TIFF image, TIFF image, TIFF(.tif) image, TIFF(.tif) image, Ventana bif, Zeiss czi, gz compressed MINC image, gz compressed NIFTI-1 image