chukarsten

Currently, the `PolynomialDecomposer` calls `freq_to_period` based on the time series frequency string stored in the `DateTimeIndex` of the target variable. This returns a periodicity integer which may not always reflect...

In #3599 , the ._set_index(X,y) function was introduced to the PolynomialDecomposer as a means to use either a pandas.DatetimeIndex or a column in X containing date time information to populate...

In https://github.com/alteryx/evalml/pull/3657, we added logic to conditionally add the Imputer only when nulls are detected. This led to a marked performance increase in the datasets that had no missing values....

As an EvalML dev, I would like all of my tests that are able to to use `get_test_data_from_configuration()` so that I can reduce total lines of code and confine changes...