"No such file or directory" when creating Jupyter notebook from scratch

I’m running into a problem with a notebook I’ve created from scratch in Jupyter that I’m not getting with a with the included example hyperas/examples/simple_notebook.ipynb.

It appears that hyperas is looking for a temperary file that does not exist.

Any thoughts about what is going wrong?

Steps to recreate the error:

1. Create new Jupyter notebook
2. Copy the sample code from the hyperas README and pasted it into the notebook created in 1)
3. Selected “Cell->Run All”
4. Error is thrown: See below
5. Selected “Kernel -> Restart and Run All”
6. Error is thrown: same as 4)
7. “File -> Save and Checkpoint”, “Kernel -> Restart and Run All”
8. Error is thrown: same as 4) and 6)

Using TensorFlow backend.
/usr/local/lib/python2.7/dist-packages/hyperas/optim.py
/usr/local/lib/python2.7/dist-packages/hyperas/optim.py
/usr/local/lib/python2.7/dist-packages/hyperas/optim.py
<ipython-input-1-43ea71f3309d>
/usr/local/lib/python2.7/dist-packages/IPython/core/interactiveshell.py
/usr/local/lib/python2.7/dist-packages/IPython/core/interactiveshell.py
/usr/local/lib/python2.7/dist-packages/IPython/core/interactiveshell.py
/usr/local/lib/python2.7/dist-packages/ipykernel/zmqshell.py
/usr/local/lib/python2.7/dist-packages/ipykernel/ipkernel.py
/usr/local/lib/python2.7/dist-packages/ipykernel/kernelbase.py
/usr/local/lib/python2.7/dist-packages/ipykernel/kernelbase.py
/usr/local/lib/python2.7/dist-packages/ipykernel/kernelbase.py
/usr/local/lib/python2.7/dist-packages/tornado/stack_context.py
/usr/local/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py
/usr/local/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py
/usr/local/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py
/usr/local/lib/python2.7/dist-packages/tornado/stack_context.py
/usr/local/lib/python2.7/dist-packages/tornado/ioloop.py
/usr/local/lib/python2.7/dist-packages/zmq/eventloop/ioloop.py
/usr/local/lib/python2.7/dist-packages/ipykernel/kernelapp.py
/usr/local/lib/python2.7/dist-packages/traitlets/config/application.py
/usr/local/lib/python2.7/dist-packages/ipykernel_launcher.py
/usr/lib/python2.7/runpy.py
/usr/lib/python2.7/runpy.py
---------------------------------------------------------------------------
IOError                                   Traceback (most recent call last)
<ipython-input-1-43ea71f3309d> in <module>()
     80                                           algo=tpe.suggest,
     81                                           max_evals=5,
---> 82                                           trials=Trials())
     83     X_train, Y_train, X_test, Y_test = data()
     84     print("Evalutation of best performing model:")

/usr/local/lib/python2.7/dist-packages/hyperas/optim.pyc in minimize(model, data, algo, max_evals, trials, rseed, notebook_name, verbose)
     40     best_run = base_minimizer(model=model, data=data, algo=algo, max_evals=max_evals,
     41                               trials=trials, rseed=rseed, full_model_string=None,
---> 42                               notebook_name=notebook_name, verbose=verbose)
     43 
     44     best_model = None

/usr/local/lib/python2.7/dist-packages/hyperas/optim.pyc in base_minimizer(model, data, algo, max_evals, trials, rseed, full_model_string, notebook_name, verbose, stack)
     60         model_str = full_model_string
     61     else:
---> 62         model_str = get_hyperopt_model_string(model, data, notebook_name, verbose, stack)
     63     temp_file = './temp_model.py'
     64     write_temp_files(model_str, temp_file)

/usr/local/lib/python2.7/dist-packages/hyperas/optim.pyc in get_hyperopt_model_string(model, data, notebook_name, verbose, stack)
    126             print(i[1])
    127         calling_script_file = os.path.abspath(inspect.stack()[stack][1])
--> 128         with open(calling_script_file, 'r') as f:
    129             source = f.read()
    130 

IOError: [Errno 2] No such file or directory: '/work/models/regression/Keras-Nonlinear-Regression/<ipython-input-1-43ea71f3309d>'

[yakouyang]

If you run your code in jupyter, function “optim.minimize” must contain a parameter “notebook_name”. As the example “simple_notebook.ipynb”:

best_run, best_model = optim.minimize(model=model,
                                      data=data,
                                      algo=tpe.suggest,
                                      max_evals=5,
                                      trials=Trials(),
                                      notebook_name='simple_notebook')

[mahacoder]

This fix does not work in Google colab. Has anybody figured out how to run it in colab yet?