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)