Traceback (most recent call last):


 "/Users/tito-admin/miniconda3/lib/python3.7/site-packages/urllib3/connectionpool.py", line 600, in urlopen

chunked=chunked)


 "/Users/tito-admin/miniconda3/lib/python3.7/site-packages/urllib3/connectionpool.py", line 354, in _make_request

conn.request(method, url, **httplib_request_kw)


 "/Users/tito-admin/miniconda3/lib/python3.7/http/client.py", line 1229, in request

self._send_request(method, url, body, headers, encode_chunked)


 "/Users/tito-admin/miniconda3/lib/python3.7/http/client.py", line 1275, in _send_request

self.endheaders(body, encode_chunked=encode_chunked)


 "/Users/tito-admin/miniconda3/lib/python3.7/http/client.py", line 1224, in endheaders

self._send_output(message_body, encode_chunked=encode_chunked)


 "/Users/tito-admin/miniconda3/lib/python3.7/http/client.py", line 1055, in _send_output

self.send(chunk)


 "/Users/tito-admin/miniconda3/lib/python3.7/http/client.py", line 977, in send

self.sock.sendall(data)
BrokenPipeError: [Errno 32] Broken pipe

Traceback (most recent call last):


 "GCP_OPT_C1_G_Att_D.py", line 387, in <module>

tuner.search(model.train_X,model.train_Y,epochs=hypers['OPT']['epochs'],validation_split=hypers['OPT']['validation_split'],callbacks=[ stop_early , RLR ])


 "/usr/local/lib/python3.6/dist-packages/kerastuner/engine/base_tuner.py", line 121, in search

trial = self.oracle.create_trial(self.tuner_id)


 "/usr/local/lib/python3.6/dist-packages/kerastuner/engine/oracle.py", line 165, in create_trial

response = self._populate_space(trial_id)


 "/usr/local/lib/python3.6/dist-packages/kerastuner/tuners/bayesian.py", line 112, in _populate_space

raise e


 "/usr/local/lib/python3.6/dist-packages/kerastuner/tuners/bayesian.py", line 105, in _populate_space

self.gpr.fit(x, y)


 "/usr/local/lib/python3.6/dist-packages/sklearn/gaussian_process/_gpr.py", line 193, in fit

ensure_2d=True, dtype="numeric")


 "/usr/local/lib/python3.6/dist-packages/sklearn/base.py", line 433, in _validate_data

X, y = check_X_y(X, y, **check_params)


 "/usr/local/lib/python3.6/dist-packages/sklearn/utils/validation.py", line 63, in inner_f

return f(*args, **kwargs)


 "/usr/local/lib/python3.6/dist-packages/sklearn/utils/validation.py", line 824, in check_X_y

ensure_2d=False, dtype=None)


 "/usr/local/lib/python3.6/dist-packages/sklearn/utils/validation.py", line 63, in inner_f

return f(*args, **kwargs)


 "/usr/local/lib/python3.6/dist-packages/sklearn/utils/validation.py", line 664, in check_array

allow_nan=force_all_finite == 'allow-nan')


 "/usr/local/lib/python3.6/dist-packages/sklearn/utils/validation.py", line 106, in _assert_all_finite

msg_dtype if msg_dtype is not None else X.dtype)
ValueError: Input contains NaN, infinity or a value too large for dtype('float64').`
