ml - Dictionary Learning (test)

None

Paramètres

ListOf_Input_Features_Image: ListOf( Volume 3D ) ( input )

ListOf_Input_Segmented_Image: ListOf( Graph ) ( optional, input )

Alpha: Réel ( input )

Max_iter: Entier ( input )

n_jobs: Entier ( input )

Output_Model: Any Type ( sortie )

Informations techniques

Toolbox : Bioprocessing

Niveau d'utilisateur : 3

Identifiant : ml_dictionary_learn

Nom de fichier : brainvisa/toolboxes/bioprocessing/processes/research/toolbox/machine_learning/ml_toolbox/ml_dictionary_learn.py

Supported file formats :

ListOf_Input_Features_Image :

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

ListOf_Input_Segmented_Image :

Graph and data, Graph and data

Output_Model :

pickle file, pickle file