text: Title: Missing Golden Features produces error
  Body: When there are only categoricals values Golden Featuers are not created. But there are still some models tried with Golden Features. This produces following error:
  
  ```py
  
  Golden Features not created due to error (please check errors.md).
  Traceback (most recent call last):
    File "/bench/frameworks/mljarsupervised/venv/lib/python3.6/site-packages/supervised/base_automl.py", line 850, in _fit
      trained = self.train_model(params)
    File "/bench/frameworks/mljarsupervised/venv/lib/python3.6/site-packages/supervised/base_automl.py", line 283, in train_model
      mf.train(model_path)
    File "/bench/frameworks/mljarsupervised/venv/lib/python3.6/site-packages/supervised/model_framework.py", line 126, in train
      train_data["X"], train_data["y"]
    File "/bench/frameworks/mljarsupervised/venv/lib/python3.6/site-packages/supervised/preprocessing/preprocessing.py", line 177, in fit_and_transform
      self._golden_features.fit(X_train[numeric_cols], y_train)
    File "/bench/frameworks/mljarsupervised/venv/lib/python3.6/site-packages/supervised/preprocessing/goldenfeatures_transformer.py", line 114, in fit
      "Golden Features not created due to error (please check errors.md)."
  supervised.exceptions.AutoMLException: Golden Features not created due to error (please check errors.md).
  ```