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Create binary and multiclass objective classes #504

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merged 145 commits into from
Apr 3, 2020

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angela97lin
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@angela97lin angela97lin commented Mar 17, 2020

Continuation of #419 which was closed after a force push 😅(Closes #504, #488)

As part of #346, we need to split our objectives into binary and multiclass objectives.

angela97lin and others added 30 commits February 19, 2020 16:29
* Update latest dependencies
* adding functionality and test

* changelog and adding boolean param
* Add a whitelist for update_deps check

* Remove from expected

* Update deps

* Changelog

def decision_function(self, y_predicted, extra_cols, threshold):
"""Determine if transaction is fraud given predicted probabilities, dataframe with transaction amount, and threshold
def decision_function(self, ypred_proba, threshold=0.0, X=None):
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This is great.

Thinking out loud, I wonder if in the future we'll want to have the threshold default to None here and throw an error, to indicate to users that they must always decide on a threshold.

evalml/objectives/utils.py Outdated Show resolved Hide resolved
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LGTM!! Nice work shepherding this through! This is huge :D and very close to getting into master!

The one final thing I'd like before you merge is that let's delete component_graph = [] from ClassificationPipeline as that could cause bugs. Other than that, all the important comments can go be addressed in a separate PR or filed as an issue.

I haven't finished going through the tests, but since this is merging to a feature branch, let's merge now and address test comments in a separate PR too.

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dsherry commented Apr 3, 2020

Ok cool I see your latest updates now. Good to merge from my perspective! 🥳

@angela97lin angela97lin merged commit 55d737a into improved_objectives Apr 3, 2020
angela97lin added a commit that referenced this pull request Apr 13, 2020
* Objectives API: Create new binary / multiclass pipeline classes and remove objectives from pipeline classes (#405)

* Objectives API: Remove ROC and confusion matrix as objectives (#422)

* Change `score` output to return one dictionary (#429)

* Create binary and multiclass objective classes  (#504)

* Update dependencies  (#412)

* Hide features with zero importance in plot by default (#413)

* Update dependencies check: package whitelist (#417)

* Add fixes necessary for docs to build for improved objectives project (#605)

* Remove calculating plot metrics from AutoML  (#615)
@dsherry dsherry deleted the 373_objective_classes branch October 29, 2020 23:48
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4 participants