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Merged
merged 5 commits into from
Jul 24, 2020
Merged

breaking: deprecate unused parameters #1743

merged 5 commits into from
Jul 24, 2020

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chuyang-deng
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Issue #, if available:
#1475

Description of changes:
Deprecate unused framework parameters and delete corresponding docs, tests.

Testing done:
unit tests

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@chuyang-deng chuyang-deng changed the title change: deprecate unused parameters breaking: deprecate unused parameters Jul 23, 2020
laurenyu
laurenyu reviewed Jul 23, 2020
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src/sagemaker/amazon/kmeans.py Outdated
@@ -43,11 +43,6 @@ class KMeans(AmazonAlgorithmEstimatorBase):
)
epochs = hp("epochs", gt(0), "An integer greater-than 0", int)
center_factor = hp("extra_center_factor", gt(0), "An integer greater-than 0", int)
eval_metrics = hp(
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I remember doing some more digging back during #1480 - https://docs.aws.amazon.com/sagemaker/latest/dg/k-means-api-config.html seems to contradict the internal backlog item we had, so let's keep eval_metrics in KMeans and RCF

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laurenyu
laurenyu reviewed Jul 23, 2020
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tests/unit/test_linear_learner.py
@@ -216,7 +216,7 @@ def test_num_classes_can_be_string_for_multiclass_classifier(sagemaker_session):
LinearLearner(sagemaker_session=sagemaker_session, **test_params)


@pytest.mark.parametrize("iterable_hyper_parameters, value", [("eval_metrics", 0)])
@pytest.mark.parametrize("iterable_hyper_parameters, value", [("max_iterations", [0])])
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was this test not working before?

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It was working before. The test expects throwing a TypeError that eval_metrics should be a list instead of an integer.

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@chuyang-deng chuyang-deng merged commit 0a5b863 into aws:zwei Jul 24, 2020
@chuyang-deng chuyang-deng deleted the deprecate-unused-params branch July 24, 2020 17:31
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@laurenyu laurenyu laurenyu approved these changes

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