run_optimization ERROR; ValueError: too many values to unpack (expected 2)

[swapchavan]

I am trying to optimize my RNN model using GPyOpt. I have successfully ran my script step by step in jupyter notebook. But when I am trying to run it using python script via command line, I am getting following error for "run_optimization(max_iter = 5)".
What am I doing wrong?

reconstraining parameters GP_regression.rbf
reconstraining parameters GP_regression.Gaussian_noise.variance
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\opt_params.py", line 208, in find_params
    myBopt.run_optimization(max_iter = 5)
  File "C:\Users\AppData\Local\Continuum\anaconda3\envs\my-rdkit-env-py37\lib\site-packages\GPyOpt\core\bo.py", line 145, in run_optimization
    self.suggested_sample = self._compute_next_evaluations()
  File "C:\Users\AppData\Local\Continuum\anaconda3\envs\my-rdkit-env-py37\lib\site-packages\GPyOpt\core\bo.py", line 236, in _compute_next_evaluations
    return self.space.zip_inputs(self.evaluator.compute_batch(duplicate_manager=duplicate_manager, context_manager= self.acquisition.optimizer.context_manager))
  File "C:\Users\AppData\Local\Continuum\anaconda3\envs\my-rdkit-env-py37\lib\site-packages\GPyOpt\core\evaluators\sequential.py", line 22, in compute_batch
    x, _ = self.acquisition.optimize(duplicate_manager=duplicate_manager)
  File "C:\Users\AppData\Local\Continuum\anaconda3\envs\my-rdkit-env-py37\lib\site-packages\GPyOpt\acquisitions\base.py", line 61, in optimize
    out = self.optimizer.optimize(f=self.acquisition_function, f_df=self.acquisition_function_withGradients, duplicate_manager=duplicate_manager)
  File "C:\Users\AppData\Local\Continuum\anaconda3\envs\my-rdkit-env-py37\lib\site-packages\GPyOpt\optimization\acquisition_optimizer.py", line 73, in optimize
    optimized_points = [apply_optimizer(self.optimizer, a, f=f, df=None, f_df=f_df, duplicate_manager=duplicate_manager, context_manager=self.context_manager, space = self.space) for a in anchor_points]
  File "C:\Users\AppData\Local\Continuum\anaconda3\envs\my-rdkit-env-py37\lib\site-packages\GPyOpt\optimization\acquisition_optimizer.py", line 73, in <listcomp>
    optimized_points = [apply_optimizer(self.optimizer, a, f=f, df=None, f_df=f_df, duplicate_manager=duplicate_manager, context_manager=self.context_manager, space = self.space) for a in anchor_points]
  File "C:\Users\AppData\Local\Continuum\anaconda3\envs\my-rdkit-env-py37\lib\site-packages\GPyOpt\optimization\optimizer.py", line 159, in apply_optimizer
    optimized_x, _ = optimizer.optimize(problem.x0_nocontext, problem.f_nocontext, problem.df_nocontext, problem.f_df_nocontext)
  File "C:\Users\AppData\Local\Continuum\anaconda3\envs\my-rdkit-env-py37\lib\site-packages\GPyOpt\optimization\optimizer.py", line 51, in optimize
    res = scipy.optimize.fmin_l_bfgs_b(_f_df, x0=x0, bounds=self.bounds, maxiter=self.maxiter)
  File "C:\Users\AppData\Local\Continuum\anaconda3\envs\my-rdkit-env-py37\lib\site-packages\scipy\optimize\lbfgsb.py", line 199, in fmin_l_bfgs_b
    **opts)
  File "C:\Users\AppData\Local\Continuum\anaconda3\envs\my-rdkit-env-py37\lib\site-packages\scipy\optimize\lbfgsb.py", line 279, in _minimize_lbfgsb
    bounds = [(None if l == -np.inf else l, None if u == np.inf else u) for l, u in bounds]
  File "C:\Users\AppData\Local\Continuum\anaconda3\envs\my-rdkit-env-py37\lib\site-packages\scipy\optimize\lbfgsb.py", line 279, in <listcomp>
    bounds = [(None if l == -np.inf else l, None if u == np.inf else u) for l, u in bounds]
ValueError: too many values to unpack (expected 2)

[ekalosak]

Hey :) Welcome to GPyOpt.

• Please post the code that you're using to optimize your RNN (no need to share NN architecture or training data, just the files with from GPyOpt import ...)
• It looks like somehow the bounds are misconfigured, but that's only a hunch - it'll help to see the actual code.