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Created by Elizaveta Lutsenko@LizLutsenkoOwner

Preprocessing features didn't progress, IF parameter "predefined_model" passed

Created by: MAGLeb

baseline_model = Fedot(problem='classification')
baseline_model.fit(features=train_data, target=TARGET_NAME, predefined_model='xgboost')

Features in the dataset were not preprocessing, it is means in the dataset different types of features (categorical, numerical, etc...) If pass parameter "predefined_model", then features not preprocessing and crushed.

/anaconda/envs/azureml_py36/lib/python3.6/site-packages/xgboost/core.py in _init_from_npy2d(self, mat, missing, nthread)
    546         # data copies if possible (reshape returns a view when possible and we
    547         # explicitly tell np.array to try and avoid copying)
--> 548         data = np.array(mat.reshape(mat.size), copy=False, dtype=np.float32)
    549         handle = ctypes.c_void_p()
    550         missing = missing if missing is not None else np.nan

ValueError: could not convert string to float: 'Cash loans'

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