def test_model_on_single_file(file_path):
clf = joblib.load("saved_model/model_ceps.pkl")
X, y = read_ceps_test(create_ceps_test(test_file) + ".npy")
probs = clf.predict_proba(X)
print "\t".join(str(x) for x in traverse)
print "\t".join(str("%.3f" % x) for x in probs[0])
probs = probs[0]
max_prob = max(probs)
for i, j in enumerate(probs):
if probs[i] == max_prob:
max_prob_index = i
print max_prob_index
predicted_genre = traverse[max_prob_index]
print "\n\npredicted genre = ", predicted_genre
return predicted_genre
def test_model_on_single_file(file_path):
clf = joblib.load('saved_model/model_ceps.pkl')
X, y = read_ceps_test(create_ceps_test(test_file) + ".npy")
probs = clf.predict_proba(X)
print "\t".join(str(x) for x in traverse)
print "\t".join(str("%.3f" % x) for x in probs[0])
probs = probs[0]
max_prob = max(probs)
for i, j in enumerate(probs):
if probs[i] == max_prob:
max_prob_index = i
print max_prob_index
predicted_genre = traverse[max_prob_index]
print "\n\npredicted genre = ", predicted_genre
return predicted_genre
def test_model_on_single_file(file_path):
clf = joblib.load('data/model_ceps.pkl')
create_ceps(test_file)
fnpy = file_path[:-3]+"ceps.npy"
print fnpy
X, y = read_ceps_test(fnpy)
probs = clf.predict_proba(X)
print str(probs)
#print "\t".join(str(x) for x in traverse)
#print "\t".join(str("%.3f" % x) for x in probs[0])
probs=probs[0]
max_prob = max(probs)
for i,j in enumerate(probs):
if probs[i] == max_prob:
max_prob_index=i
print max_prob_index
predicted_genre = genre_list[max_prob_index]
print "\n\npredicted genre = ",predicted_genre
return predicted_genre