def run(ptrain=0.01, ptest=0.1, ntrain=-25, ntest=25):
import os
putil.LOG_FILE = os.path.join(LOG_FILE_DIR, 'ksvm.txt')
main = Task(name="Kernel SVM",
desc='Kernel Support Vector Machine Baseline').start()
dataset, validation_tester = make_trainset(cores=None,
main=main,
ptrain=float(ptrain))
testset, tester = make_testset(cores=None, main=main, ptest=float(ptest))
ksvm = train(dataset, main.subtask(name="Training KSVM"))
tester.loss(ksvm, task=main)
validation_tester.loss(ksvm, task=main)
main.done("Program finished.")
# Print out arguments
print('\n')
args.print()
print('\n\n')
# Run program
div.div('-', BR + BLUE, label='Main Program')
main = Task(name='RF',
desc="Random Feature Support Vector Classifier").start()
# Generate color map if flag set
if args.get('knn'):
ckm = CKM(
args.get('k'),
IDCDataset(PATIENTS, p=0.01, process=True, task=main.subtask()))
idim = args.get('k')
feature = ckm.map
elif args.get('hsv'):
from skimage import color
idim = 7500
def feature(image):
return np.reshape(color.rgb2hsv(image), [-1])
elif args.get('hue'):
from skimage import color
idim = 7500
def feature(image):
return np.reshape(color.rgb2hsv(image)[:, :, 0], [-1])
else: