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[SPARK-22332][ML][TEST] Fix NaiveBayes unit test occasionly fail (cause by test dataset not deterministic) #19558
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WeichenXu123
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Test build #82974 has finished for PR 19558 at commit
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Test build #82978 has finished for PR 19558 at commit
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Test build #82983 has finished for PR 19558 at commit
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Test build #82985 has finished for PR 19558 at commit
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LGTM |
asfgit
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…se by test dataset not deterministic) ## What changes were proposed in this pull request? Fix NaiveBayes unit test occasionly fail: Set seed for `BrzMultinomial.sample`, make `generateNaiveBayesInput` output deterministic dataset. (If we do not set seed, the generated dataset will be random, and the model will be possible to exceed the tolerance in the test, which trigger this failure) ## How was this patch tested? Manually run tests multiple times and check each time output models contains the same values. Author: WeichenXu <weichen.xu@databricks.com> Closes #19558 from WeichenXu123/fix_nb_test_seed. (cherry picked from commit 841f1d7) Signed-off-by: Joseph K. Bradley <joseph@databricks.com>
MatthewRBruce
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Jul 31, 2018
…se by test dataset not deterministic) ## What changes were proposed in this pull request? Fix NaiveBayes unit test occasionly fail: Set seed for `BrzMultinomial.sample`, make `generateNaiveBayesInput` output deterministic dataset. (If we do not set seed, the generated dataset will be random, and the model will be possible to exceed the tolerance in the test, which trigger this failure) ## How was this patch tested? Manually run tests multiple times and check each time output models contains the same values. Author: WeichenXu <weichen.xu@databricks.com> Closes apache#19558 from WeichenXu123/fix_nb_test_seed. (cherry picked from commit 841f1d7) Signed-off-by: Joseph K. Bradley <joseph@databricks.com>
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What changes were proposed in this pull request?
Fix NaiveBayes unit test occasionly fail:
Set seed for
BrzMultinomial.sample
, makegenerateNaiveBayesInput
output deterministic dataset.(If we do not set seed, the generated dataset will be random, and the model will be possible to exceed the tolerance in the test, which trigger this failure)
How was this patch tested?
Manually run tests multiple times and check each time output models contains the same values.