Integrate DefaultAlgorithm into AutoMLSearch

[jeremyliweishih]

Fixes #2526.

• Add top level search methods for fast/long mode
• Add algorithm parameter to AutoMLSearch
• Add coverage for custom_hyperparameters and pipeline params in EvalML algo
• Fix docs
• File issue for seperating iterative algorithm and AutoMLSearch
• File issue for evalml algorithm and time series

[codecov]

Codecov Report

Merging #2634 (4c2c471) into main (d3ae705) will increase coverage by 0.1%.
The diff coverage is 100.0%.

@@           Coverage Diff           @@
##            main   #2634     +/-   ##
=======================================
+ Coverage   99.9%   99.9%   +0.1%     
=======================================
  Files        300     301      +1     
  Lines      27439   27600    +161     
=======================================
+ Hits       27395   27556    +161     
  Misses        44      44             

Impacted Files	Coverage Δ
evalml/__init__.py	100.0% <100.0%> (ø)
evalml/automl/__init__.py	100.0% <100.0%> (ø)
evalml/automl/automl_algorithm/__init__.py	100.0% <100.0%> (ø)
...valml/automl/automl_algorithm/default_algorithm.py	100.0% <100.0%> (ø)
evalml/automl/automl_search.py	99.9% <100.0%> (+0.1%)	⬆️
.../automl_tests/test_automl_search_classification.py	100.0% <100.0%> (ø)
...ests/automl_tests/test_automl_search_regression.py	100.0% <100.0%> (ø)
...valml/tests/automl_tests/test_default_algorithm.py	100.0% <100.0%> (ø)
evalml/tests/automl_tests/test_search.py	100.0% <100.0%> (ø)
evalml/tests/automl_tests/test_search_iterative.py	100.0% <100.0%> (ø)
... and 2 more

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[jeremyliweishih]

By product of testing with EvalMLAlgorithm. I can remove this but I think these changes are good.

[ParthivNaresh]

Awesome work with this, I'm going to take a deeper look at the tests in a bit, just left some other comments. Also do we have plans to update our docs? We briefly mention the standalone search method in the AutoML section but it might be helpful to have a separate section describing our algorithms. It could be a lot of updates so feel free to file a separate issue for this if you don't want to lump it all into one PR.

[jeremyliweishih]

Awesome work with this, I'm going to take a deeper look at the tests in a bit, just left some other comments. Also do we have plans to update our docs? We briefly mention the standalone search method in the AutoML section but it might be helpful to have a separate section describing our algorithms. It could be a lot of updates so feel free to file a separate issue for this if you don't want to lump it all into one PR.

@ParthivNaresh, I'll make an issue to track this!

[chukarsten]

Jeremy, great work. This looks good to me. I think we should figure out (not necessarily in this PR) a new name instead of EvalMLAlgorithm, and same for the resulting string. But yea, would like to see this puppy in action and see how it compares to iterative.

[chukarsten]

I think we need to come up with a better alternative to "evalml", haha.

[ParthivNaresh]

The tests look great, nice work with this!