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I installed auto-sklearn from pypi and ran the digits example from the website and I get the following error.
The code seems to run but the error message take over all output :-/
Process pynisher function call:
Traceback (most recent call last):
File "/home/andy/anaconda3/envs/autosklearn/lib/python3.6/multiprocessing/process.py", line 249, in _bootstrap
self.run()
File "/home/andy/anaconda3/envs/autosklearn/lib/python3.6/multiprocessing/process.py", line 93, in run
self._target(*self._args, **self._kwargs)
File "/home/andy/anaconda3/envs/autosklearn/lib/python3.6/site-packages/pynisher/limit_function_call.py", line 83, in subprocess_func
return_value = ((func(*args, **kwargs), 0))
File "/home/andy/anaconda3/envs/autosklearn/lib/python3.6/site-packages/autosklearn/evaluation/train_evaluator.py", line 284, in eval_holdout
evaluator.fit_predict_and_loss(iterative=iterative)
File "/home/andy/anaconda3/envs/autosklearn/lib/python3.6/site-packages/autosklearn/evaluation/train_evaluator.py", line 77, in fit_predict_and_loss
i, train_indices=train_split, test_indices=test_split)
File "/home/andy/anaconda3/envs/autosklearn/lib/python3.6/site-packages/autosklearn/evaluation/train_evaluator.py", line 211, in _partial_fit_and_predict
self.Y_train[train_indices])
File "/home/andy/anaconda3/envs/autosklearn/lib/python3.6/site-packages/autosklearn/evaluation/abstract_evaluator.py", line 340, in _fit_and_suppress_warnings
model.fit(X, y)
File "/home/andy/anaconda3/envs/autosklearn/lib/python3.6/site-packages/autosklearn/pipeline/base.py", line 88, in fit
X, fit_params = self.pre_transform(X, y, fit_params=fit_params)
File "/home/andy/anaconda3/envs/autosklearn/lib/python3.6/site-packages/autosklearn/pipeline/classification.py", line 102, in pre_transform
X, y, fit_params=fit_params)
File "/home/andy/anaconda3/envs/autosklearn/lib/python3.6/site-packages/autosklearn/pipeline/base.py", line 98, in pre_transform
X, fit_params = self._pre_transform(X, y, **fit_params)
File "/home/andy/anaconda3/envs/autosklearn/lib/python3.6/site-packages/sklearn/pipeline.py", line 147, in _pre_transform
Xt = transform.fit(Xt, y, **fit_params_steps[name]) \
File "/home/andy/anaconda3/envs/autosklearn/lib/python3.6/site-packages/autosklearn/pipeline/components/base.py", line 379, in fit
return self.choice.fit(X, y, **kwargs)
File "/home/andy/anaconda3/envs/autosklearn/lib/python3.6/site-packages/autosklearn/pipeline/components/feature_preprocessing/fast_ica.py", line 33, in fit
self.preprocessor.fit(X)
File "/home/andy/anaconda3/envs/autosklearn/lib/python3.6/site-packages/sklearn/decomposition/fastica_.py", line 523, in fit
self._fit(X, compute_sources=False)
File "/home/andy/anaconda3/envs/autosklearn/lib/python3.6/site-packages/sklearn/decomposition/fastica_.py", line 479, in _fit
compute_sources=compute_sources, return_n_iter=True)
File "/home/andy/anaconda3/envs/autosklearn/lib/python3.6/site-packages/sklearn/decomposition/fastica_.py", line 335, in fastica
W, n_iter = _ica_par(X1, **kwargs)
File "/home/andy/anaconda3/envs/autosklearn/lib/python3.6/site-packages/sklearn/decomposition/fastica_.py", line 116, in _ica_par
warnings.warn('FastICA did not converge. Consider increasing '
File "/home/andy/anaconda3/envs/autosklearn/lib/python3.6/warnings.py", line 99, in _showwarnmsg
msg.file, msg.line)
TypeError: send_warnings_to_log() takes from 4 to 5 positional arguments but 6 were givenMetadata
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