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Hi,
I tried to fit a model to a pandas table, but it gave me the following error on the auto.fit function "'Series' object has no attribute 'as_matrix'"
`dataset = pd.read_pickle(self.path_to_metadata + '/ml_dataset.pkl') dataset.fillna(0, inplace=True)
train_observations, test_observations = train_test_split(dataset) train_observations = train_observations.copy() test_observations = test_observations.copy() # List out variable types data_type_dict = {'numerical': list(dataset.columns.values)} output_var_h = 'n_h' # Create and fit Automater auto = Automater(data_type_dict=data_type_dict, output_var=output_var_h) auto.fit(train_observations)`
Do you know what's wrong? I followed the introduction tutorial.
Thanks!
The text was updated successfully, but these errors were encountered:
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Hi,
I tried to fit a model to a pandas table, but it gave me the following error on the auto.fit function
"'Series' object has no attribute 'as_matrix'"
`dataset = pd.read_pickle(self.path_to_metadata + '/ml_dataset.pkl')
dataset.fillna(0, inplace=True)
Do you know what's wrong? I followed the introduction tutorial.
Thanks!
The text was updated successfully, but these errors were encountered: