def load_data_svm():
print("[INFO] Loading svm-light format data...")
global features
global target
features, target = load_svmlight_file(data_io.read_train_svm())
features = features.todense()
return features, target
def load_data_svm():
print("[INFO] Loading svm-light format data...")
global features
global target
features, target = load_svmlight_file(data_io.read_train_svm())
features = features.todense()
return features, target
def save_to_train(st):
data = open(data_io.read_train_svm(), "a")
try:
data.write(st + "\n")
data.close()
except Exception, e:
pass
def save_to_train(st):
data = open(data_io.read_train_svm(), "a")
try:
data.write(st + "\n")
data.close()
except Exception, e:
pass
