Construct tests for model_recommendation_core_inference()

[ETA444]

Test Descriptions

1. Invalid DataFrame Type:

   • Verifies that a TypeError is raised if the input df is not a pandas DataFrame.

2. Invalid Formula Type:

   • Ensures a TypeError is triggered when formula is not a string.

3. Invalid Priority Models Type:

   • Checks for a TypeError if priority_models is incorrectly specified as anything other than a list of strings.

4. Invalid n_top_models Type:

   • Asserts that a ValueError is raised when n_top_models is not a positive integer.

5. Invalid Model Kwargs Type:

   • Tests for a TypeError if model_kwargs is not a dictionary.

6. Invalid Verbose Type:

   • Verifies that a TypeError is raised when verbose is not an integer.

7. Empty DataFrame:

   • Confirms that a ValueError is raised if the provided DataFrame is empty.

8. Invalid Formula Format:

   • Checks for a ValueError when the formula format is incorrect, specifically if it does not contain exactly one '~'.

9. Missing Target Variable in DataFrame:

   • Ensures a ValueError is raised if the specified target variable in the formula is not present in the DataFrame.

10. Missing Independent Variable in DataFrame:

    • Tests for a ValueError when one or more independent variables specified in the formula are missing from the DataFrame.

11. Invalid n_top_models Value:

    • Asserts that a ValueError is raised if n_top_models is less than or equal to zero.

12. Invalid Model Kwargs Type:

    • Verifies that a TypeError is triggered when model_kwargs is provided as something other than a dictionary.

13. Formula With Multiple '~' Symbols:

    • Tests for a ValueError if the formula includes more than one '~' symbol, which would incorrectly imply multiple dependent variables.

14. Verbose Not an Integer:

    • Ensures a TypeError is raised if verbose is specified as a non-integer value.

---

Access the full test suite here