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| author | Bryan Cutler <bjcutler@us.ibm.com> | 2015-10-08 22:21:07 -0700 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2015-10-08 22:21:07 -0700 |
| commit | 5410747a84e9be1cea44159dfc2216d5e0728ab4 (patch) | |
| tree | 98b3f9b8ed5e2fddbc7213a8115402abfd21472e /python/pyspark/mllib/regression.py | |
| parent | 67fbecbf32fced87d3accd2618fef2af9f44fae2 (diff) | |
| download | spark-5410747a84e9be1cea44159dfc2216d5e0728ab4.tar.gz spark-5410747a84e9be1cea44159dfc2216d5e0728ab4.tar.bz2 spark-5410747a84e9be1cea44159dfc2216d5e0728ab4.zip | |
[SPARK-10959] [PYSPARK] StreamingLogisticRegressionWithSGD does not train with given regParam and convergenceTol parameters
These params were being passed into the StreamingLogisticRegressionWithSGD constructor, but not transferred to the call for model training. Same with StreamingLinearRegressionWithSGD. I added the params as named arguments to the call and also fixed the intercept parameter, which was being passed as regularization value.
Author: Bryan Cutler <bjcutler@us.ibm.com>
Closes #9002 from BryanCutler/StreamingSGD-convergenceTol-bug-10959.
Diffstat (limited to 'python/pyspark/mllib/regression.py')
| -rw-r--r-- | python/pyspark/mllib/regression.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/python/pyspark/mllib/regression.py b/python/pyspark/mllib/regression.py index 256b7537fe..961b5e80b0 100644 --- a/python/pyspark/mllib/regression.py +++ b/python/pyspark/mllib/regression.py @@ -679,7 +679,7 @@ class StreamingLinearRegressionWithSGD(StreamingLinearAlgorithm): self._model = LinearRegressionWithSGD.train( rdd, self.numIterations, self.stepSize, self.miniBatchFraction, self._model.weights, - self._model.intercept) + intercept=self._model.intercept, convergenceTol=self.convergenceTol) dstream.foreachRDD(update) |