<reponame>atul2804/Unbiased_LambdaMart<gh_stars>100-1000
import click_models
import data_utils
import json
import os
import sys


if __name__ == "__main__":
    data_dir = '../'

    click_model_file = sys.argv[1]
    click_model_fname = os.path.basename(click_model_file)
    click_model_fname = os.path.splitext(click_model_fname)[0]
    print(click_model_file, click_model_fname)

    click_model = click_models.loadModelFromJson(click_model_file)
    target = '../test_data/'

    train_set = data_utils.parse_data(click_model=click_model,
                                      data_dir=data_dir+'generate_dataset/',
                                      task='data', ti='train',
                                      tp=click_model_fname+'_train',
                                      rank_cut=100000,
                                      target=target)

    test_set = data_utils.parse_data(click_model=click_model,
                                     data_dir=data_dir+'generate_dataset/',
                                     task='data', ti='test',
                                     tp=click_model_fname+'_test',
                                     rank_cut=100000,
                                     target=target)
