column validation #4
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Implemented automatic column order validation and reordering for DataFrame inputs in the Model.predict() method: - Validates that all required features are present in input DataFrame - Automatically reorders columns to match expected feature order - Issues warning when columns are reordered or when using arrays - Raises ValueError if required features are missing - Handles extra columns by selecting only needed features - Works for both classifiers and regressors Added comprehensive tests covering: - Correct column order (no warning) - Incorrect column order (auto-reorder with warning) - Missing columns (raises error) - Extra columns (handled gracefully) - NumPy arrays (warns about assumed order) - Regressor support All 56 tests pass including 7 new tests for column order validation.
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If column names were in the training data, coldsnap will now check if they are included in new data when predicting and ensure the order is correct.