Repository: spark Updated Branches: refs/heads/branch-2.1 71104c9c9 -> 99891e56e
[SPARK-18177][ML][PYSPARK] Add missing 'subsamplingRate' of pyspark GBTClassifier ## What changes were proposed in this pull request? Add missing 'subsamplingRate' of pyspark GBTClassifier ## How was this patch tested? existing tests Author: Zheng RuiFeng <ruife...@foxmail.com> Closes #15692 from zhengruifeng/gbt_subsamplingRate. (cherry picked from commit 9dc9f9a5dde37d085808a264cfb9cf4d4f72417d) Signed-off-by: Yanbo Liang <yblia...@gmail.com> Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/99891e56 Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/99891e56 Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/99891e56 Branch: refs/heads/branch-2.1 Commit: 99891e56ea286580323fd82e303064d3c0730d85 Parents: 71104c9 Author: Zheng RuiFeng <ruife...@foxmail.com> Authored: Thu Nov 3 07:45:20 2016 -0700 Committer: Yanbo Liang <yblia...@gmail.com> Committed: Thu Nov 3 07:45:56 2016 -0700 ---------------------------------------------------------------------- python/pyspark/ml/classification.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/99891e56/python/pyspark/ml/classification.py ---------------------------------------------------------------------- diff --git a/python/pyspark/ml/classification.py b/python/pyspark/ml/classification.py index d9ff356..56c8c62 100644 --- a/python/pyspark/ml/classification.py +++ b/python/pyspark/ml/classification.py @@ -900,19 +900,19 @@ class GBTClassifier(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPredictionCol def __init__(self, featuresCol="features", labelCol="label", predictionCol="prediction", maxDepth=5, maxBins=32, minInstancesPerNode=1, minInfoGain=0.0, maxMemoryInMB=256, cacheNodeIds=False, checkpointInterval=10, lossType="logistic", - maxIter=20, stepSize=0.1, seed=None): + maxIter=20, stepSize=0.1, seed=None, subsamplingRate=1.0): """ __init__(self, featuresCol="features", labelCol="label", predictionCol="prediction", \ maxDepth=5, maxBins=32, minInstancesPerNode=1, minInfoGain=0.0, \ maxMemoryInMB=256, cacheNodeIds=False, checkpointInterval=10, \ - lossType="logistic", maxIter=20, stepSize=0.1, seed=None) + lossType="logistic", maxIter=20, stepSize=0.1, seed=None, subsamplingRate=1.0) """ super(GBTClassifier, self).__init__() self._java_obj = self._new_java_obj( "org.apache.spark.ml.classification.GBTClassifier", self.uid) self._setDefault(maxDepth=5, maxBins=32, minInstancesPerNode=1, minInfoGain=0.0, maxMemoryInMB=256, cacheNodeIds=False, checkpointInterval=10, - lossType="logistic", maxIter=20, stepSize=0.1) + lossType="logistic", maxIter=20, stepSize=0.1, subsamplingRate=1.0) kwargs = self.__init__._input_kwargs self.setParams(**kwargs) @@ -921,12 +921,12 @@ class GBTClassifier(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPredictionCol def setParams(self, featuresCol="features", labelCol="label", predictionCol="prediction", maxDepth=5, maxBins=32, minInstancesPerNode=1, minInfoGain=0.0, maxMemoryInMB=256, cacheNodeIds=False, checkpointInterval=10, - lossType="logistic", maxIter=20, stepSize=0.1, seed=None): + lossType="logistic", maxIter=20, stepSize=0.1, seed=None, subsamplingRate=1.0): """ setParams(self, featuresCol="features", labelCol="label", predictionCol="prediction", \ maxDepth=5, maxBins=32, minInstancesPerNode=1, minInfoGain=0.0, \ maxMemoryInMB=256, cacheNodeIds=False, checkpointInterval=10, \ - lossType="logistic", maxIter=20, stepSize=0.1, seed=None) + lossType="logistic", maxIter=20, stepSize=0.1, seed=None, subsamplingRate=1.0) Sets params for Gradient Boosted Tree Classification. """ kwargs = self.setParams._input_kwargs --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org
