def sample_train(input_file):
closed_count = cu.get_closed_count(input_file)
sample = reservoir_sample(cu.iter_open_questions(input_file), closed_count)
sample.extend(cu.iter_closed_questions(input_file))
random.shuffle(sample)
header = cu.get_header(input_file)
return header, sample
def sample_train(input_file):
closed_count = cu.get_closed_count(input_file)
sample = reservoir_sample(cu.iter_open_questions(input_file), closed_count)
sample.extend(cu.iter_closed_questions(input_file))
random.shuffle(sample)
header = cu.get_header(input_file)
return header, 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 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