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sample_train.py
41 lines (34 loc) · 1.1 KB
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sample_train.py
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import competition_utilities as cu
import csv
import os
import random
def reservoir_sample(generator, num_samples):
sample = []
enum = enumerate(generator)
while len(sample) < num_samples:
i, a = enum.next()
sample.append(a)
random.shuffle(sample)
for i, a in enum:
r = random.randint(0,i)
if r < num_samples:
sample[r]=a
return sample
def sample_train(input_file):
print("get closed question count")
closed_count = cu.get_closed_count(input_file)
print("sample open questions")
sample = reservoir_sample(cu.iter_open_questions(input_file), closed_count)
print("get all closed questions")
sample.extend(cu.iter_closed_questions(input_file))
print("shuffle all the data")
random.shuffle(sample)
header = cu.get_header(input_file)
return header, sample
def main():
# header, sample = sample_train("train.csv")
# cu.write_sample("train-sample1.csv", header, sample)
header, sample = sample_train("train_data.csv")
cu.write_sample("train-sample.csv", header, sample)
if __name__=="__main__":
main()