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.
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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.
How
Github user SparkQA commented on the issue:
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Github user HyukjinKwon commented on the issue:
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ok to test
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Can one of the admins verify this patch?
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