dataset=sys.argv[1]
max_radius=int(sys.argv[2])
la=float(sys.argv[3])
#hashs=int(sys.argv[3])
njobs=1
name=str(sys.argv[4])
kernel=sys.argv[5]
C=float(sys.argv[6])
m=int(sys.argv[7])
d=int(sys.argv[8])
#lr=float(sys.argv[7])
#FIXED PARAMETERS
normalization=False
#working with Chemical
g_it=load_graph_datasets.dispatch(dataset)
f=open(name,'w')
#At this point, one_hot_encoding contains the encoding for each symbol in the alphabet
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":
#END MIRKO
if __name__=='__main__':
if len(sys.argv)<1:
sys.exit("python ODDKernel_example.py dataset r l d filename kernel")
dataset=sys.argv[1]
max_radius=int(sys.argv[2])
la=float(sys.argv[3])
#hashs=int(sys.argv[3])
njobs=1
d=int(sys.argv[4]) #MIRKO
name=str(sys.argv[5])
kernel=sys.argv[6]
#FIXED PARAMETERS
normalization=True
g_it=dispatch(dataset)
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"
