Beispiel #1
0
def gen():
    sys_path = sys.path[:]
    if len(sys.argv) < 3:
        raise LookupError('Please specify model result to transfer.')
    elif len(sys.argv) > 3:
        raise UserWarning('Only one model result can be transfered.')
    model_path = os.path.join(current_dir, sys.argv[2])
    sys.path.append(model_path)
    import pred
    pred_result, _ = get_pred(pred.get_model(), all_data, prep.date(8, 15))
    pred_stats = stats(pred_result, all_data)
    print('|         TOTAL   VISITED BOUGHT  FAVO    CART    NEW')
    print('| Pred #  {:<8}{:<8}{:<8}{:<8}{:<8}{:<8}'.format(*pred_stats))
    print('|      %  {:<8.0%}{:<8.3%}{:<8.3%}{:<8.3%}{:<8.3%}{:<8.3%}'.format(*[i*1./pred_stats[0] for i in pred_stats]))
    from datetime import date
    target_path = os.path.join(current_dir, 'result%02d.txt'%date.today().day)
    output(target_path, pred_result)
    sys.path = sys_path
Beispiel #2
0
def gen():
    sys_path = sys.path[:]
    if len(sys.argv) < 3:
        raise LookupError('Please specify model result to transfer.')
    elif len(sys.argv) > 3:
        raise UserWarning('Only one model result can be transfered.')
    model_path = os.path.join(current_dir, sys.argv[2])
    sys.path.append(model_path)
    import pred
    pred_result, _ = get_pred(pred.get_model(), all_data, prep.date(8, 15))
    pred_stats = stats(pred_result, all_data)
    print('|         TOTAL   VISITED BOUGHT  FAVO    CART    NEW')
    print('| Pred #  {:<8}{:<8}{:<8}{:<8}{:<8}{:<8}'.format(*pred_stats))
    print('|      %  {:<8.0%}{:<8.3%}{:<8.3%}{:<8.3%}{:<8.3%}{:<8.3%}'.format(
        *[i * 1. / pred_stats[0] for i in pred_stats]))
    from datetime import date
    target_path = os.path.join(current_dir,
                               'result%02d.txt' % date.today().day)
    output(target_path, pred_result)
    sys.path = sys_path
Beispiel #3
0
 def on_press_button(self, instance):
     import pred
     model = pred.get_model('mobclass.pkl')
     data = pred.get_value(
         self.bataryInput, self.blueInput, self.csInput, self.dsInput,
         self.fcInput, self.four_gInput, self.int_memoryInput,
         self.m_depInput, self.mobile_wtInput, self.n_coresInput,
         self.pcInput, self.px_heightInput, self.px_widthInput,
         self.ramInput, self.sc_hInput, self.sc_wInput, self.talk_timeInput,
         self.three_gInput, self.touch_screenInput, self.wifiInput)
     # predict model
     predictVal = pred.get_predict(model, data)
     if (predictVal == 0):
         predictVal = "Düşük Fiyatlı"
     if (predictVal == 1):
         predictVal = "Orta Fiyatlı"
     if (predictVal == 2):
         predictVal = "Yüksek Fiyatlı"
     if (predictVal == 3):
         predictVal = "Çok Yüksek Fiyatlı"
     # if you want follow value uncomment this rows
     #print(predictVal)
     phone.popUp(self=None, value=predictVal)
Beispiel #4
0
def val():
    if len(sys.argv) < 3:
        raise LookupError('Please specify model to val.')
    val_cases = [
        (prep.date(5, 18), prep.date(6, 17), 'predicts 5/18 to 6/17', '5/18'),
        (prep.date(6, 17), prep.date(7, 17), 'predicts 6/17 to 7/17', '6/17'),
        (prep.date(7, 17), prep.date(8, 16), 'predicts 7/17 to 8/16', '7/17'),
    ]
    for model_name in sys.argv[2:]:
        sys_path = sys.path[:]
        model_path = os.path.join(current_dir, model_name)
        sys.path.append(model_path)
        import pred
        reload(pred)
        print_model_header(model_name)
        Ps = []
        Rs = []
        Fs = []
        for TRAIN_DATE, VAL_DATE, DESC, _ in val_cases:
            train_data = all_data[all_data[:, 3] < TRAIN_DATE]
            val_data = all_data[np.logical_and(all_data[:, 3] >= TRAIN_DATE,
                                               all_data[:, 3] < VAL_DATE)]
            all_userids = np.unique(train_data[:, 0])
            pred_result, raw = get_pred(pred.get_model(), train_data,
                                        TRAIN_DATE - 1)
            val_result = get_val(val_data, all_userids)
            p, r, f, pred_ratings, hit_ratings = f1(pred_result, val_result,
                                                    all_userids, raw)
            Ps.append(p)
            Rs.append(r)
            Fs.append(f)
            print_result_header(DESC)
            print_result_stats(stats(pred_result, train_data),
                               stats(val_result, train_data), p)
            print_basic_result(p, r, f, pred_ratings, hit_ratings)
        plot_result(model_name, val_cases, Ps, Rs, Fs)
        sys.path = sys_path
Beispiel #5
0
def val():
    if len(sys.argv) < 3:
        raise LookupError('Please specify model to val.')
    val_cases = [
        (prep.date(5, 18), prep.date(6, 17), 'predicts 5/18 to 6/17', '5/18'),
        (prep.date(6, 17), prep.date(7, 17), 'predicts 6/17 to 7/17', '6/17'),
        (prep.date(7, 17), prep.date(8, 16), 'predicts 7/17 to 8/16', '7/17'),
    ]
    for model_name in sys.argv[2:]:
        sys_path = sys.path[:]
        model_path = os.path.join(current_dir, model_name)
        sys.path.append(model_path)
        import pred
        reload(pred)
        print_model_header(model_name)
        Ps = []
        Rs = []
        Fs = []
        for TRAIN_DATE, VAL_DATE, DESC, _ in val_cases:
            train_data = all_data[all_data[:, 3] < TRAIN_DATE]
            val_data = all_data[np.logical_and(
                all_data[:, 3] >= TRAIN_DATE,
                all_data[:, 3] < VAL_DATE
            )]
            all_userids = np.unique(train_data[:, 0])
            pred_result, raw = get_pred(pred.get_model(), train_data, TRAIN_DATE-1)
            val_result = get_val(val_data, all_userids)
            p, r, f, pred_ratings, hit_ratings = f1(pred_result, val_result, all_userids, raw)
            Ps.append(p)
            Rs.append(r)
            Fs.append(f)
            print_result_header(DESC)
            print_result_stats(stats(pred_result, train_data),
                stats(val_result, train_data), p)
            print_basic_result(p, r, f, pred_ratings, hit_ratings)
        plot_result(model_name, val_cases, Ps, Rs, Fs)
        sys.path = sys_path