Traceback (most recent call last):


 "/home/andy/anaconda3/envs/autosklearn/lib/python3.6/multiprocessing/process.py", line 249, in _bootstrap

self.run()


 "/home/andy/anaconda3/envs/autosklearn/lib/python3.6/multiprocessing/process.py", line 93, in run

self._target(*self._args, **self._kwargs)


 "/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))


 "/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)


 "/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)


 "/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])


 "/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)


 "/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)


 "/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)


 "/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)


 "/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]) \


 "/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)


 "/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)


 "/home/andy/anaconda3/envs/autosklearn/lib/python3.6/site-packages/sklearn/decomposition/fastica_.py", line 523, in fit

self._fit(X, compute_sources=False)


 "/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)


 "/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)


 "/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 '


 "/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 given

Traceback (most recent call last):


 "C:\Program 
s\JetBrains\PyCharm 2016.3\helpers\pydev\pydevd.py", line 1596, in <module>

globals = debugger.run(setup['file'], None, None, is_module)


 "C:\Program 
s\JetBrains\PyCharm 2016.3\helpers\pydev\pydevd.py", line 974, in run

pydev_imports.execfile(file, globals, locals)
# execute the script


 "C:/Users/Fernando/Documents/Medusa/start.py", line 4, in <module>

from medusa.__main__ import main


 "C:/Users/Fernando/Documents/Medusa\medusa\__main__.py", line 67, in <module>

from . import (


 "C:/Users/Fernando/Documents/Medusa\medusa\db.py", line 28, in <module>

from . import app, logger


 "C:/Users/Fernando/Documents/Medusa\medusa\logger.py", line 34, in <module>

import knowit


 "C:\Users\Fernando\Documents\Medusa\lib\knowit\__init__.py", line 26, in <module>

from .api import know


 "C:\Users\Fernando\Documents\Medusa\lib\knowit\api.py", line 10, in <module>

('mediainfo', MediaInfoProvider()),


 "C:\Users\Fernando\Documents\Medusa\lib\knowit\providers\mediainfo.py", line 92, in __init__

self.native_lib = self._create_native_lib()


 "C:\Users\Fernando\Documents\Medusa\lib\knowit\providers\mediainfo.py", line 125, in _create_native_lib

lib = windll.MediaInfo = windll.LoadLibrary(os.path.join(lib, 'MediaInfo.dll'))


 "C:\Python27\lib\ctypes\__init__.py", line 440, in LoadLibrary

return self._dlltype(name)


 "C:\Python27\lib\ctypes\__init__.py", line 362, in __init__

self._handle = _dlopen(self._name, mode)
TypeError: LoadLibrary() argument 1 must be string, not unicode
