TypeError: 'generator' object is not subscriptable

from hyperas import optim
from hyperopt import Trials, tpe


def data():
    return 1, 2, 3, 4


def model(a, b, c, d):
    pass


if __name__ == "__main__":

    trials = Trials()
    bla = optim.minimize(model=model, data=data, algo=tpe.suggest,
                         max_evals=5,
                         trials=trials)

C:\Users\klein-desk\AppData\Local\Programs\Python\Python35\python.exe G:/Source/untitled4/main.py
Using TensorFlow backend.
Traceback (most recent call last):
>>> Imports:
  File "G:/Source/untitled4/main.py", line 18, in <module>
#coding=utf-8
    trials=trials)

try:
    from hyperas import optim
  File "C:\Users\klein-desk\AppData\Local\Programs\Python\Python35\lib\site-packages\hyperas\optim.py", line 67, in minimize
except:
    pass
    verbose=verbose)

  File "C:\Users\klein-desk\AppData\Local\Programs\Python\Python35\lib\site-packages\hyperas\optim.py", line 133, in base_minimizer
try:
    return_argmin=True),
  File "C:\Users\klein-desk\AppData\Local\Programs\Python\Python35\lib\site-packages\hyperopt\fmin.py", line 307, in fmin
    from hyperopt import Trials, tpe
    return_argmin=return_argmin,
except:
  File "C:\Users\klein-desk\AppData\Local\Programs\Python\Python35\lib\site-packages\hyperopt\base.py", line 635, in fmin
    pass

    return_argmin=return_argmin)
>>> Hyperas search space:

def get_space():
  File "C:\Users\klein-desk\AppData\Local\Programs\Python\Python35\lib\site-packages\hyperopt\fmin.py", line 314, in fmin
    return {
    }
    pass_expr_memo_ctrl=pass_expr_memo_ctrl)

  File "C:\Users\klein-desk\AppData\Local\Programs\Python\Python35\lib\site-packages\hyperopt\base.py", line 786, in __init__
>>> Data
    pyll.toposort(self.expr)
1: 
2: 
  File "C:\Users\klein-desk\AppData\Local\Programs\Python\Python35\lib\site-packages\hyperopt\pyll\base.py", line 715, in toposort
3: 
4: 
    assert order[-1] == expr
>>> Resulting replaced keras model:
TypeError: 'generator' object is not subscriptable

 1: def keras_fmin_fnct(space):
 2: 
 3:     pass
 4: 

Process finished with exit code 1

Windows Python 3.5.2

[ghost]

Hi @maxpumperla As you might know, it’s the temporary solution. Do you have any idea to update Hyperopt to be compatible with this version of netwrokx? As I know you have the full access to modify the hyperopt repo. 😃

[peachyDinosaur]

try pip3 install networkx==1.11

I would only do this in virtual env as the current networkx version is 2.0

Doc here: https://networkx.github.io/