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10-01 19:18:03 I hyperts.hyper_ts.py 244 - estimator is transforming the train set
10-01 19:18:04 E hypernets.m.hyper_model.py 83 - run_trail failed! trail_no=3
10-01 19:18:04 E hypernets.m.hyper_model.py 85 - Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/hypernets/model/hyper_model.py", line 78, in _run_trial
estimator.fit(X, y, **fit_kwargs)
File "/usr/local/lib/python3.7/dist-packages/hyperts/hyper_ts.py", line 255, in fit
self.model.fit(X_transformed, y, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/hyperts/framework/wrappers/dl_wrappers.py", line 108, in fit
X = self.fit_transform(X)
File "/usr/local/lib/python3.7/dist-packages/hyperts/framework/wrappers/_base.py", line 135, in fit_transform
transform_X = self.transformers.fit_transform(X)
File "/usr/local/lib/python3.7/dist-packages/sklearn/pipeline.py", line 426, in fit_transform
Xt = self._fit(X, y, **fit_params_steps)
File "/usr/local/lib/python3.7/dist-packages/sklearn/pipeline.py", line 355, in _fit
**fit_params_steps[name],
File "/usr/local/lib/python3.7/dist-packages/joblib/memory.py", line 352, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/sklearn/pipeline.py", line 893, in _fit_transform_one
res = transformer.fit_transform(X, y, **fit_params)
File "/usr/local/lib/python3.7/dist-packages/sklearn/base.py", line 852, in fit_transform
return self.fit(X, **fit_params).transform(X)
File "/usr/local/lib/python3.7/dist-packages/hyperts/utils/transformers.py", line 207, in transform
transform_X = (X - self.min) / (self.max - self.min + self.eps)
TypeError: unsupported operand type(s) for +: 'Timedelta' and 'float'
I think I figured the first error out. I set the mode to "dl".
Now I get the above error though.
The text was updated successfully, but these errors were encountered:
I think I figured the first error out. I set the mode to "dl".
Now I get the above error though.
The text was updated successfully, but these errors were encountered: