la = float(sys.argv[3])
#hashs=int(sys.argv[3])
njobs = 1
#name=str(sys.argv[4])
kernel = sys.argv[4]
n_hidden = map(int, sys.argv[5].split())
#n_hidden=int(sys.argv[6])
#FIXED PARAMETERS
normalization = True
if dataset == "CAS":
print "Loading bursi(CAS) dataset"
g_it = load_graph_datasets.load_graphs_bursi()
elif dataset == "GDD":
print "Loading GDD dataset"
g_it = load_graph_datasets.load_graphs_GDD()
elif dataset == "CPDB":
print "Loading CPDB dataset"
g_it = load_graph_datasets.load_graphs_CPDB()
elif dataset == "AIDS":
print "Loading AIDS dataset"
g_it = load_graph_datasets.load_graphs_AIDS()
elif dataset == "NCI1":
print "Loading NCI1 dataset"
g_it = load_graph_datasets.load_graphs_NCI1()
elif dataset == "NCI109":
print "Loading NCI109 dataset"
g_it = load_graph_datasets.load_graphs_NCI109()
dataset = datasets.load_graphs_BZR() print len(dataset.graphs) print len(dataset.target) print dataset.graphs[0].node[1]['label'] print dataset.graphs[0].node[1]['veclabel'] dataset = datasets.load_graphs_DHFR() print len(dataset.graphs) print len(dataset.target) print dataset.graphs[0].node[1]['label'] print dataset.graphs[0].node[1]['veclabel'] dataset = datasets.load_graphs_PROTEINS_full() print len(dataset.graphs) print len(dataset.target) print dataset.graphs[0].node[1]['label'] print dataset.graphs[0].node[1]['veclabel'] dataset = datasets.load_graphs_bursi() print len(dataset.graphs) print len(dataset.target) dataset = datasets.load_graphs_enzymes() print len(dataset.graphs) print len(dataset.target) print dataset.graphs[1].node[1]['label'] print dataset.graphs[1].node[1]['veclabel'] dataset = datasets.load_graphs_proteins() print len(dataset.graphs) print len(dataset.target) print dataset.graphs[1].node[1]['label'] print dataset.graphs[1].node[1]['veclabel'] dataset = datasets.load_graphs_synthetic() print len(dataset.graphs) print len(dataset.target)
