def read_data(filename):
with open(filename) as f:
samples = []
target = []
for line in f:
line = line.strip().split()
target = int(line[0])
sample = [float(x) for x in line[1:]]
samples.append(sample)
return samples, target
def write_delimited_file(filename, data, labels):
with open(filename, "w") as f:
for line, label in zip(data, labels):
f.write(label + " ".join(line) + "\n")
if __name__ == '__main__':
homeDir = os.environ['HOME']
assert(homeDir is not None)
train, target = read_data(homeDir + "/out.cvs")
test, _ = read_data(homeDir + "/test")
rf = RandomForestClassifier(n_estimators=100, min_split=2)
rf.fit(train, target)
predicted_probs = rf.predicted_proba(test)
predicted_probs = ["%f" % x[1] for x in predicted_probs]
write_delimited_file("./result.cvs", predicted_probs)
