Handle time index with exclude featurizers

[thehomebrewnerd]

Various updates to handle dropping time index properly when DateTimeFeaturizer and TimeSeriesFeaturizer are excluded for time series problems. These updates retain time index column for time series native estimators, but drop it otherwise.

[codecov]

Codecov Report

Merging #3691 (4d079fd) into main (4445f12) will increase coverage by 0.1%.
The diff coverage is 100.0%.

@@           Coverage Diff           @@
##            main   #3691     +/-   ##
=======================================
+ Coverage   99.7%   99.7%   +0.1%     
=======================================
  Files        339     339             
  Lines      34251   34307     +56     
=======================================
+ Hits       34122   34179     +57     
+ Misses       129     128      -1     

Impacted Files	Coverage Δ
evalml/automl/automl_search.py	99.5% <100.0%> (+0.2%)	⬆️
.../pipelines/time_series_classification_pipelines.py	100.0% <100.0%> (ø)
evalml/pipelines/time_series_pipeline_base.py	100.0% <100.0%> (ø)
...valml/pipelines/time_series_regression_pipeline.py	100.0% <100.0%> (ø)
evalml/tests/automl_tests/test_automl.py	99.5% <100.0%> (+0.1%)	⬆️
evalml/tests/conftest.py	98.0% <100.0%> (ø)
.../integration_tests/test_time_series_integration.py	100.0% <100.0%> (ø)

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[jeremyliweishih]

LGTM

[eccabay]

Can you add a test, either here or as an independent test, that should_drop_time_index is getting set correctly for all pipelines?

[thehomebrewnerd]

@eccabay I added the explicit check for the value of should_drop_time_index to this test. Let me know if there is a better way to do this as I'm not super familiar with the best way to iterate overall the pipelines generated by .search().

[eccabay]

Works for me! I don't think we have a super clean way to iterate through all the pipelines right now, so imo whatever works goes.