Traceback (most recent call last):
  File "/var/www/scripts/findcal_for_last.py", line 138, in find_method
    Y_cal = lm.predict( np.array( feature_data ).reshape(1,-1) )[0]
  File "/var/www/scripts/www-api-py3/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 783, in predict
    X = self._validate_X_predict(X)
  File "/var/www/scripts/www-api-py3/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 421, in _validate_X_predict
    return self.estimators_[0]._validate_X_predict(X, check_input=True)
  File "/var/www/scripts/www-api-py3/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 395, in _validate_X_predict
    if self.n_features_ != n_features:
AttributeError: 'DecisionTreeRegressor' object has no attribute 'n_features_'

time,03:14:59
SiteName,Tsai
app,AirBox
area,taipei
date,2024-04-29
device_id,08BEAC0AB416
gps_alt,2.0
gps_fix,1.0
gps_lat,25.0728804
gps_lon,121.3673699
gps_num,9.0
name,Tsai
s_d0,13.0
s_d1,14.0
s_d2,9.0
s_h0,64.0
s_t0,27.75
timestamp,2024-04-29T03:14:59Z
s_d0_hourly_num,4
s_d0_hourly,14.5