Traceback (most recent call last):


 "hp_tunning.py", line 297, in <module>

tunning()


 "hp_tunning.py", line 206, in tunning

train_weight=train_weight)


 "/home/i/i0000013/EmoPain2020-FinalVersion/train_tunning.py", line 96, in train_tunning

class_weight=class_weight)


 "/home/i/i0000013/miniconda3/envs/emopain-tf2/lib/python3.7/site-packages/kerastuner/engine/base_tuner.py", line 122, in search

self.run_trial(trial, *fit_args, **fit_kwargs)


 "/home/i/i0000013/miniconda3/envs/emopain-tf2/lib/python3.7/site-packages/kerastuner/engine/multi_execution_tuner.py", line 95, in run_trial

history = model.fit(*fit_args, **fit_kwargs, callbacks=callbacks)


 "/home/i/i0000013/miniconda3/envs/emopain-tf2/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training.py", line 795, in fit

raise TypeError('Unrecognized keyword arguments: ' + str(kwargs))
TypeError: Unrecognized keyword arguments: {'generator': <generator object DataHandler.prepare_feature_generator at 0x7fc073c7c1d0>}

Traceback (most recent call last):


 "/mnt/c/Users/test/sqlmap/lib/core/threads.py", line 97, in exceptionHandledFunction

threadFunction()


 "/mnt/c/Users/test/sqlmap/lib/techniques/blind/inference.py", line 508, in blindThread

threadData.shared.value[currentCharIndex - 1 - firstChar] = val
TypeError: 'str' object does not support item assignment
