Traceback (most recent call last):


 "examples/demo_mnist.py", line 65, in <module>

X_All_enc = gc.fit_transform(X_train, y_train, X_test=X_test, y_test=y_test)


 "lib/gcforest/gcforest.py", line 31, in fit_transform

self.fg.fit_transform(X_train, y_train, X_test, y_test, train_config)


 "lib/gcforest/fgnet.py", line 54, in fit_transform

layer.fit_transform(train_config)


 "lib/gcforest/layers/fg_win_layer.py", line 107, in fit_transform

keep_model_in_mem=train_config.keep_model_in_mem)


 "lib/gcforest/estimators/kfold_wrapper.py", line 101, in fit_transform

y_proba = est.predict_proba(X[val_idx].reshape((-1, n_dims)), cache_dir=cache_dir)


 "lib/gcforest/estimators/base_estimator.py", line 77, in predict_proba

batch_size = batch_size or self._default_predict_batch_size(est, X)


 "lib/gcforest/estimators/sklearn_estimators.py", line 44, in _default_predict_batch_size

return forest_predict_batch_size(clf, X)


 "lib/gcforest/estimators/sklearn_estimators.py", line 23, in forest_predict_batch_size

mem_size_1 = clf.n_classes_ * clf.n_estimators * 16
AttributeError: 'NoneType' object has no attribute 'n_classes_'

Traceback (most recent call last):


 "predict.py", line 3, in <module>

x = model.predict({"numberIn":[1]}, return_type='dict')


 "/home/user/.local/lib/python3.7/site-packages/ludwig/api.py", line 914, in predict

gpu_fraction=gpu_fraction,


 "/home/user/.local/lib/python3.7/site-packages/ludwig/api.py", line 772, in _predict

self.model_definition['preprocessing']


 "/home/user/.local/lib/python3.7/site-packages/ludwig/data/preprocessing.py", line 159, in build_data

preprocessing_parameters


 "/home/user/.local/lib/python3.7/site-packages/ludwig/data/preprocessing.py", line 180, in handle_missing_values

dataset_df[feature['name']] = dataset_df[feature['name']].fillna(
AttributeError: 'list' object has no attribute 'fillna'
