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cookiecutter_ramp_kit's Issues

typical minimum sequence

  1. csv with header (optionally ask for separator), train and test or a single file and test_size and we do the partitioning
  2. target column name
  3. prediction type (we can have good defaults if we can read the csv by looking at the number of unique values)
  4. workflow (again, default is feature extractor and classifier/regressor, feature exactractor can read the column types, one hot encode categoric types, predictor is a simple random forest)
  5. score types (depending on the prediction type, defaults are AUC and RMSE).
  6. cv (default is shuffle or stratifies shuffle with 8 folds, 0.2)
  7. get data is automatic

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