def main():
#cf = CF()
#baseline = Baseline()
evaluation = Evaluation()
#evaluation.cal_rmse("yelp_baseline_prediction_upd.data")
#evaluation.cal_mae("yelp_baseline_prediction_upd.data")
#evaluation.cal_rmse("yelp_cf_prediction_10000.data")
#evaluation.cal_rmse("yelp_cf_k100_prediction_10000.data")
#evaluation.cal_rmse("yelp_cf_k5_prediction_10000.data")
#evaluation.cal_rmse("yelp_cf_k50_prediction_10000.data")
#evaluation.cal_rmse("yelp_baseline_prediction_10000.data")
evaluation.cal_rmse("yelp_svd_cf_prediction_10000.data")
evaluation.cal_rmse("yelp_svd_k100_prediction_10000.data")
evaluation.cal_rmse("yelp_svd_k5_prediction_10000.data")
evaluation.cal_rmse("yelp_svd_k50_prediction_10000.data")
#evaluation.cal_rmse("yelp_cluster_cf_prediction_10000.data")
#evaluation.cal_rmse("yelp_cf_baseline_prediction_10000.data")
#evaluation.cal_rmse("yelp_cluster_cf_baseline_prediction_10000.data")
#evaluation.cal_mae("yelp_cf_prediction_10000.data")
#evaluation.cal_mae("yelp_baseline_prediction_10000.data")
#print "="*20
#evaluation.cal_mae("yelp_cf_prediction_10000.data")
#evaluation.cal_mae("yelp_baseline_prediction_10000.data")
#evaluation.cal_mae("yelp_svd_cf_prediction_10000.data")
#evaluation.cal_mae("yelp_cluster_cf_prediction_10000.data")
#evaluation.cal_mae("yelp_cf_baseline_prediction_10000.data")
#evaluation.cal_mae("yelp_cluster_cf_baseline_prediction_10000.data")
pass
