---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Input In [34], in <module>
----> 1 model.predict(input_)
File ~/.local/lib/python3.10/site-packages/sklearn/utils/metaestimators.py:113, in _AvailableIfDescriptor.__get__.<locals>.<lambda>(*args, **kwargs)
110 raise attr_err
112 # lambda, but not partial, allows help() to work with update_wrapper
--> 113 out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
114 else:
116 def fn(*args, **kwargs):
File ~/.local/lib/python3.10/site-packages/sklearn/pipeline.py:469, in Pipeline.predict(self, X, **predict_params)
467 Xt = X
468 for _, name, transform in self._iter(with_final=False):
--> 469 Xt = transform.transform(Xt)
470 return self.steps[-1][1].predict(Xt, **predict_params)
File ~/.local/lib/python3.10/site-packages/sklearn/preprocessing/_data.py:993, in StandardScaler.transform(self, X, copy)
991 else:
992 if self.with_mean:
--> 993 X -= self.mean_
994 if self.with_std:
995 X /= self.scale_
ValueError: operands could not be broadcast together with shapes (16,1000) (44,) (16,1000)