Scikit-learn estimator should validate X and y. This validation will
convert the input X and y into a NumPy
array to do the numerical operation of the estimator. This check makes sure
that passing an array-like (but
not a NumPy array) is still working as passing an array. It basically
ensure that
fyi, just posted a question in stackoverflow:
https://stackoverflow.com/questions/67500110/what-is-the-check-transformer-data-not-an-array-test-from-sklearns-check-estima
Are there any plans to expand the docs on the check_estimators test?
it would be really helpful to have a general idea of
Hello everyone,
I am trying to get Feature-engine transformers pass the check_estimator tests
and there is one test, that I am not too sure what it is intended for.
The transformers fail the check_transformer_data_not_an_array because the input
is a _NotAnArray class, and Feature-engine
