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)
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.
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?