Github user shahidki31 commented on the issue:
https://github.com/apache/spark/pull/22659
In the test "binary logistic regression with intercept with ElasticNet
regularization", taking around 30sec to run. But we can reduce the time to 15
sec by reducing the iteration.
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/22659
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Github user shahidki31 commented on the issue:
https://github.com/apache/spark/pull/22659
In the test, "multinomial logistic regression with intercept with
elasticnet regularization" in the "LogisticRegressionSuite", taking around 1
minute to train 2 logistic regression model.
Github user SparkQA commented on the issue:
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/22659
ok to test
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Can one of the admins verify this patch?
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