chukarsten
chukarsten
As a [user/developer], I wish I could use EvalML to model with the new pandas nullable boolean (boolean) type. Completion of this story involves adding appropriate coverage to the `imputer_test_data`...
As an EvalML dev, I would like `test_simple_imputer.py` to be refactored to use a more centralized test dataframe that either lives in `conftest.py` or `test_simple_imputer.py`. The dataframe will probably have...
As an EvalML dev, I would like test_imputer.py to be refactored in order to use a centralized dataframe for all tests. This dataframe should ultimately live in either conftest.py or...
As a [user/developer], I wish I could use EvalML to model with the new pandas nullable integer (Int64) type. Completion of this story involves adding appropriate coverage to the `imputer_test_data`...
Just a placeholder issue for generating issues for the TODO's in our code. Can turn this into an epic as necessary. Successful completion of this issue/epic is building or associating...
Check out the changes made in #2690 to the title unit tests and try to merge series/dataframes into a single fixture.
Refer to the blocks of code changed in #2690 and merged the test dataframes into a single, module based fixture.
The Dask documentation suggests [using Dask Dataframes.](https://docs.dask.org/en/latest/best-practices.html#load-data-with-dask). Is this even possible using Woodwork? Is it worth it?
Per our discussion on #3310 , we wanted to create a similar `retain_ww_schema` style tests that copies `def test_drop_rows_transformer_retain_ww_schema():` in `evalml/tests/component_tests/test_drop_nan_rows_transformer.py` but have them iterate over all the components. Successful...