None
ListOf_Input_Image: ListOf( 3D Volume ) ( input )
ListOf_Input_Segmented_Image: ListOf( Graph ) ( input )
Algorithm: Choice ( input )
Test_Size_Ratio: Float ( input )
PCA: Boolean ( input )
N_Principal_Components: Integer ( optional, input )
Regularization_Parameter: Float ( optional, input )
N_Random_Trees: Integer ( optional, input )
Output_Performance: Text file ( optional, output )
Output_Subset_Data: Text file ( optional, output )
Output_Model: Any Type ( optional, output )
ListOf_Output_Segmented_Image: ListOf( 3D Volume ) ( optional, output )
Toolbox : Bioprocessing
User level : 0
Identifier :
ml_fast_modeling
File name :
brainvisa/toolboxes/bioprocessing/processes/research/toolbox/machine_learning/ml_fast_modeling.py
Supported file formats :
ListOf_Input_Image :gz compressed NIFTI-1 image, Aperio svs, BMP image, DICOM image, Directory, ECAT i image, ECAT v image, FDF image, FreesurferMGH, FreesurferMGZ, GIF image, GIS image, Hamamatsu ndpi, Hamamatsu vms, Hamamatsu vmu, JPEG image, Leica scn, MINC image, NIFTI-1 image, PBM image, PGM image, PNG image, PPM image, SPM image, Sakura svslide, TIFF image, TIFF image, TIFF(.tif) image, TIFF(.tif) image, VIDA image, Ventana bif, XBM image, XPM image, Zeiss czi, gz compressed MINC image, gz compressed NIFTI-1 imageListOf_Input_Segmented_Image :Graph and data, Graph and dataOutput_Performance :Text file, Text fileOutput_Subset_Data :Text file, Text fileOutput_Model :pickle file, pickle fileListOf_Output_Segmented_Image :gz compressed NIFTI-1 image, Aperio svs, BMP image, DICOM image, Directory, ECAT i image, ECAT v image, FDF image, FreesurferMGH, FreesurferMGZ, GIF image, GIS image, Hamamatsu ndpi, Hamamatsu vms, Hamamatsu vmu, JPEG image, Leica scn, MINC image, NIFTI-1 image, PBM image, PGM image, PNG image, PPM image, SPM image, Sakura svslide, TIFF image, TIFF image, TIFF(.tif) image, TIFF(.tif) image, VIDA image, Ventana bif, XBM image, XPM image, Zeiss czi, gz compressed MINC image, gz compressed NIFTI-1 image