def main():
data = TCGAData()
gene_exp = data.get_gene_exp_matrix()
labels = data.get_labels()
gnb = GaussianNB()
accuracy = kFoldCrossValid(gene_exp,labels,gnb)
print(accuracy)
def svmfn(featureSelectionMethod = 'none'):
data = TCGAData()
gene_exp = data.get_gene_exp_matrix()
labels = data.get_labels()
names = data.get_gene_names()
clf = svm.SVC(gamma=0.001,C=100.) #these are the values in some random example, idk what C is
accuracy = kFoldCrossValid(gene_exp,labels,clf,k=4,names=names,selection=featureSelectionMethod)
print(accuracy)
