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Post postmodeling: A new hope #673

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Post postmodeling: A new hope #673

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nanounanue
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This PR is about putting out there the new proposed API. It is still work in progress.

Missing parts:

  • Jaccard plot methods
  • Feature importance plot methods
  • Crosstab plot methods
  • Error analysis
  • A notebook

I want to push this, so other people could start coding using this interface.

return evaluations.drop('_sa_instance_state', axis=1).set_index(['model_group_id', 'model_id', 'metric', 'parameter'])


class ModelGroup(Base):
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Could the original definitions in https://github.com/dssg/triage/blob/master/src/triage/component/results_schema/schema.py be used? It would be nice to minimize the code that needs to be changed when the schema changes

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I will use them :)

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@jesteria jesteria left a comment

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cool beans

comments might've gotten a bit low-level; and, I'm not really sure what's new code and what's not.

but, for some of these, it's unclear to me that it'll work as is.

).run()


session = create_session(shared_db_engine)
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does this line do anything? (i notice that you're not using session, at least.)

src/triage/component/postmodeling/README.org Outdated Show resolved Hide resolved
src/triage/component/postmodeling/__init__.py Outdated Show resolved Hide resolved
src/triage/component/postmodeling/__init__.py Outdated Show resolved Hide resolved
src/triage/component/postmodeling/__init__.py Outdated Show resolved Hide resolved
src/triage/component/postmodeling/jaccard.py Outdated Show resolved Hide resolved
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src/triage/component/postmodeling/jaccard.py Outdated Show resolved Hide resolved
evaluations = evaluations.sort_values('evaluation_start_time', ascending=True)
evaluations = evaluations[['evaluation_start_time', 'value']]
evaluations['type'] = model_group.type.split('.')[-1]
return evaluations
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@jesteria jesteria Apr 17, 2019

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this function needn't be declared dynamically, need it? I would think it can be declared at the module level, (rather than re-declared every time the wrapping function is called).

perhaps it'll need metric added to its signature, but that's all...?

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What do you mean? I am afraid that I am not following

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The function plot_metric_over_time will re-declare the inner function get_model_group_evaluations every time that the former is invoked. This is sometimes useful, but problems with it include:

  • performance: the interpreter must recreate the function dynamically
  • debugging & legibility: the inner function inherits a dynamic scope from every invocation of plot_metric_over_time
  • testing & reusability: (if necessary), the inner function couldn't be either tested or reused with this factoring

Though the inner function here isn't huge, I would say it's big enough that it may as well be moved to the module scope, to avoid the above pitfalls.

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Makes sense! I will do it.

My idea was not to pollute the module namespace with this function that is only used inside this one, but, what are you saying makes a lot of sense. What will be a good case for using inner functions?

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@jesteria jesteria Apr 24, 2019

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Right! I think the same way. (But I've also been yelled at for doing so 😹)

The inner function – once moved to the module level – can at least be given a leading underscore to indicate that it's not intended as part of the module API.

I'd say the important thing is that inner functions be trivial – very short, (including lambdas of course).

But ultimately it's up to your judgement of the pros & cons relative to the situation.

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Thank you

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@nanounanue
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@jesteria Thank you for all your comments! I will work on them

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3 participants