Github user naftaliharris commented on a diff in the pull request:
https://github.com/apache/spark/pull/1493#discussion_r15568446
--- Diff: python/pyspark/mllib/classification.py ---
@@ -63,7 +63,10 @@ class LogisticRegressionModel(LinearModel):
def predict(self, x):
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/1493#discussion_r15567017
--- Diff: python/pyspark/mllib/classification.py ---
@@ -63,7 +63,10 @@ class LogisticRegressionModel(LinearModel):
def predict(self, x):
Github user naftaliharris commented on a diff in the pull request:
https://github.com/apache/spark/pull/1493#discussion_r15541942
--- Diff: python/pyspark/mllib/classification.py ---
@@ -63,7 +63,10 @@ class LogisticRegressionModel(LinearModel):
def predict(self, x):
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/1493
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/1493#issuecomment-49542158
QA results for PR 1493:- This patch PASSES unit tests.- This patch
merges cleanly- This patch adds no public classesFor more
information see test
ouptut:https://amplab.c
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/1493#issuecomment-49540259
QA tests have started for PR 1493. This patch merges cleanly. View
progress:
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Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/1493#issuecomment-49540207
Jenkins, retest this please.
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Github user SparkQA commented on the pull request:
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QA tests have started for PR 1493. This patch merges cleanly. View
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Github user mengxr commented on the pull request:
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Jenkins, retest this please.
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Github user SparkQA commented on the pull request:
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QA tests have started for PR 1493. This patch merges cleanly. View
progress:
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/1493#issuecomment-49504102
Jenkins, test this please.
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GitHub user mengxr opened a pull request:
https://github.com/apache/spark/pull/1493
[SPARK-2552][MLLIB] stabilize logistic function in pyspark
to avoid overflow in `exp(x)` if `x` is large.
You can merge this pull request into a Git repository by running:
$ git pull https://git
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