elif dataset == "NCI109":
print "Loading NCI109 dataset"
g_it = load_graph_datasets.load_graphs_NCI109()
elif dataset == "NCI123":
print "Loading NCI123 dataset"
g_it = load_graph_datasets.load_graphs_NCI123()
elif dataset == "NCI_AIDS":
print "Loading NCI_AIDS dataset"
g_it = load_graph_datasets.load_graphs_NCI_AIDS()
else:
print "Unknown dataset name"
if kernel == "WL":
print "Lambda ignored"
print "Using WL fast subtree kernel"
Vectorizer = WLVectorizer(r=max_radius, normalization=normalization)
elif kernel == "ODDST":
print "Using ST kernel"
Vectorizer = ODDSTVectorizer(r=max_radius,
l=la,
normalization=normalization)
elif kernel == "NSPDK":
print "Using NSPDK kernel, lambda parameter interpreted as d"
Vectorizer = NSPDKVectorizer(r=max_radius,
d=int(la),
normalization=normalization)
else:
print "Unrecognized kernel"
features = Vectorizer.transform(g_it.graphs) #Parallel ,njobs
#print GM