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,05:50:02
SiteName,wh001
app,AirBox
area,kaohsiung
date,2024-04-25
device_id,74DA38E2B578
gps_alt,2.0
gps_fix,1.0
gps_lat,22.622
gps_lon,120.318
gps_num,9.0
name,wh001
s_d0,6.0
s_d1,7.0
s_d2,4.0
s_h0,87.0
s_t0,26.5
timestamp,2024-04-25T05:50:02Z
s_d0_hourly_num,10
s_d0_hourly,14.6