Traceback (most recent call last):


 "train.py", line 14, in <module>

train_stats = model.train(data_csv="./dataset.csv")


 "/home/user/.local/lib/python3.7/site-packages/ludwig/api.py", line 441, in train

debug=debug,


 "/home/user/.local/lib/python3.7/site-packages/ludwig/train.py", line 252, in full_train

random_seed=random_seed


 "/home/user/.local/lib/python3.7/site-packages/ludwig/data/preprocessing.py", line 403, in preprocess_for_training

random_seed


 "/home/user/.local/lib/python3.7/site-packages/ludwig/data/preprocessing.py", line 525, in _preprocess_csv_for_training

random_seed=random_seed


 "/home/user/.local/lib/python3.7/site-packages/ludwig/data/preprocessing.py", line 62, in build_dataset

**kwargs


 "/home/user/.local/lib/python3.7/site-packages/ludwig/data/preprocessing.py", line 83, in build_dataset_df

global_preprocessing_parameters


 "/home/user/.local/lib/python3.7/site-packages/ludwig/data/preprocessing.py", line 116, in build_metadata

feature['preprocessing']


 "/home/user/.local/lib/python3.7/site-packages/ludwig/utils/misc.py", line 97, in merge_dict

for k, v in merge_dct.items():
AttributeError: 'list' object has no attribute 'items'

Traceback (most recent call last):


 "<stdin>", line 1, in <module>


 "/home/hiebert/code/crmprtd/env36/lib/python3.6/site-packages/pint/registry.py", line 840, in parse_expression

return build_eval_tree(gen).evaluate(lambda x: self._eval_token(x,
AttributeError: 'NoneType' object has no attribute 'evaluate'
