def main_ordinal(fileName, clf, k=3, preproc=False, evalFunc = Util.brierScore):
data = np.loadtxt(fname=fileName, delimiter=",")
hda = HighDimAlg(clf, "ordinal", kTimes=k)
scoreList = []
nRunning = 10
for _ in range(nRunning):
trainX, trainY, testX, testY = Util.readData(data, False, preproc)
hda.fit(trainX, trainY)
s = evalFunc(hda.predict(testX), testY)
print("score = ", s)
scoreList.append(s)
score = sum(scoreList)/nRunning
print("mean score = ", score)
with open("log/HDA_test_log_ordinal.txt", 'a') as f:
log = ','.join([dt.now().strftime("%Y/%m/%d %H:%M"), str(fileName), \
"GLS", str(k), \
str(preproc), evalFunc.__name__, str(score)])
f.write(log + '\n')
