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[Bug]: The truth value of a DataFrame is ambiguous. #1298
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Note closed as irrelevant (can be reissued if necessary) the signature of the for this particular launch, you can do the following: from fedot.core.data.data import array_to_input_data
...
input_data = array_to_input_data(features_array=train.loc[:, train.columns != 'Target'].values,
target_array=train.Target.values)
tuned_pipiline = auto_model.tune(input_data=input_data, timeout=2, cv_folds=10, n_jobs=4) seems to work as expected on kaggle data |
@Lopa10ko Я думаю, что лучше сделать по аналогии с другими API методами. Например, в |
Expected Behavior
Pipeline starts tuning with provided input data.
tuned_pipiline = auto_model.tune(input_data=orig_data, timeout=10, cv_folds=10, n_jobs=4)
Current Behavior
Possible Solution
Change line 230 in
fedot/api/main.py
to the following:Steps to Reproduce
Data from https://www.kaggle.com/competitions/playground-series-s4e6
Context [OPTIONAL]
Participating in a Kaggle competition PS4E6.
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