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Traceback (most recent call last):
File "bayesian_opt_DL.py", line 137, in
run_trial()
File "bayesian_opt_DL.py", line 89, in run_trial
bb.run()
File "/home/b7066789/.local/lib/python3.6/site-packages/bbopt/optimizer.py", line 107, in run
self.run_backend(backend, **kwargs)
File "/home/b7066789/.local/lib/python3.6/site-packages/bbopt/optimizer.py", line 95, in run_backend
self.backend = init_backend(backend, self._examples, self._old_params, *args, **kwargs)
File "/home/b7066789/.local/lib/python3.6/site-packages/bbopt/registry.py", line 105, in init_backend
return backend_registry[name](examples, params, *args, **kwargs)
File "/home/b7066789/.local/lib/python3.6/site-packages/bbopt/backends/hyperopt.py", line 137, in init
(next)(FMinIter(algo, domain, trials, rstate, **kwargs))
File "/home/b7066789/.local/lib/python3.6/site-packages/hyperopt/fmin.py", line 237, in next
self.run(1, block_until_done=self.asynchronous)
File "/home/b7066789/.local/lib/python3.6/site-packages/hyperopt/fmin.py", line 202, in run
self.rstate.randint(2 ** 31 - 1))
File "/home/b7066789/.local/lib/python3.6/site-packages/hyperopt/tpe.py", line 901, in suggest
print_node_on_error=False)
File "/home/b7066789/.local/lib/python3.6/site-packages/hyperopt/pyll/base.py", line 913, in rec_eval
rval = scope._impls[node.name](*args, **kwargs)
File "/home/b7066789/.local/lib/python3.6/site-packages/hyperopt/pyll/base.py", line 1076, in bincount
return np.bincount(x, weights, minlength)
TypeError: Cannot cast array data from dtype('<U4') to dtype('int64') according to the rule 'safe'
The text was updated successfully, but these errors were encountered:
@sakalouski Do you have code I can run to reproduce this error? It's hard for me to figure out what's causing this error without being able to reproduce it myself.
@sakalouski Also, try updating your BBopt (pip install -U bbopt) and seeing if the error is still there--it's possible this error has been fixed in recent versions.
Traceback (most recent call last):
File "bayesian_opt_DL.py", line 137, in
run_trial()
File "bayesian_opt_DL.py", line 89, in run_trial
bb.run()
File "/home/b7066789/.local/lib/python3.6/site-packages/bbopt/optimizer.py", line 107, in run
self.run_backend(backend, **kwargs)
File "/home/b7066789/.local/lib/python3.6/site-packages/bbopt/optimizer.py", line 95, in run_backend
self.backend = init_backend(backend, self._examples, self._old_params, *args, **kwargs)
File "/home/b7066789/.local/lib/python3.6/site-packages/bbopt/registry.py", line 105, in init_backend
return backend_registry[name](examples, params, *args, **kwargs)
File "/home/b7066789/.local/lib/python3.6/site-packages/bbopt/backends/hyperopt.py", line 137, in init
(next)(FMinIter(algo, domain, trials, rstate, **kwargs))
File "/home/b7066789/.local/lib/python3.6/site-packages/hyperopt/fmin.py", line 237, in next
self.run(1, block_until_done=self.asynchronous)
File "/home/b7066789/.local/lib/python3.6/site-packages/hyperopt/fmin.py", line 202, in run
self.rstate.randint(2 ** 31 - 1))
File "/home/b7066789/.local/lib/python3.6/site-packages/hyperopt/tpe.py", line 901, in suggest
print_node_on_error=False)
File "/home/b7066789/.local/lib/python3.6/site-packages/hyperopt/pyll/base.py", line 913, in rec_eval
rval = scope._impls[node.name](*args, **kwargs)
File "/home/b7066789/.local/lib/python3.6/site-packages/hyperopt/pyll/base.py", line 1076, in bincount
return np.bincount(x, weights, minlength)
TypeError: Cannot cast array data from dtype('<U4') to dtype('int64') according to the rule 'safe'
The text was updated successfully, but these errors were encountered: