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Implement precision and recall metrics for classification evaluation #49671

Merged
merged 13 commits into from
Dec 19, 2019
Merged

Implement precision and recall metrics for classification evaluation #49671

merged 13 commits into from
Dec 19, 2019

Commits on Dec 19, 2019

  1. Implement precision and recall metrics for classification evaluation

    @przemekwitek
    przemekwitek committed Dec 19, 2019
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  2. Fix compile errors

    @przemekwitek
    przemekwitek committed Dec 19, 2019
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  3. Remove markup interface classes (SoftClassificationMetric, Classifica… 

    …tionMetric, RegressionMetric)
    @przemekwitek
    przemekwitek committed Dec 19, 2019
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  4. Apply review comments

    @przemekwitek
    przemekwitek committed Dec 19, 2019
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  5. Revert changes related to accuracy

    @przemekwitek
    przemekwitek committed Dec 19, 2019
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  6. Add Precision and Recall metrics to evaluation verification in Classi… 

    …ficationIT
    @przemekwitek
    przemekwitek committed Dec 19, 2019
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  7. Add size parameter to Precision and Recall metrics

    @przemekwitek
    przemekwitek committed Dec 19, 2019
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  8. Fix MlClientDocumentationIT

    @przemekwitek
    przemekwitek committed Dec 19, 2019
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  9. Relax assertEvaluation method in ClassificationIT

    @przemekwitek
    przemekwitek committed Dec 19, 2019
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  10. Revert "Add size parameter to Precision and Recall metrics" 

    This reverts commit 81be647d6465e62971ac763605be4a080161cbdf.
    @przemekwitek
    przemekwitek committed Dec 19, 2019
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  11. Enforce max cardinality of actual_class field for precision and recal… 

    …l metrics
    @przemekwitek
    przemekwitek committed Dec 19, 2019
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  12. Fix MlClientDocumentationIT

    @przemekwitek
    przemekwitek committed Dec 19, 2019
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  13. Simplify handling actualField in process() method

    @przemekwitek
    przemekwitek committed Dec 19, 2019
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