Repository: spark Updated Branches: refs/heads/master 95eb65163 -> 3aa348822
[SPARK-11815][ML][PYSPARK] PySpark DecisionTreeClassifier & DecisionTreeRegressor should support setSeed PySpark ```DecisionTreeClassifier``` & ```DecisionTreeRegressor``` should support ```setSeed``` like what we do at Scala side. Author: Yanbo Liang <yblia...@gmail.com> Closes #9807 from yanboliang/spark-11815. Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/3aa34882 Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/3aa34882 Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/3aa34882 Branch: refs/heads/master Commit: 3aa3488225af12a77da3ba807906bc6a461ef11c Parents: 95eb651 Author: Yanbo Liang <yblia...@gmail.com> Authored: Wed Jan 6 10:52:25 2016 -0800 Committer: Joseph K. Bradley <jos...@databricks.com> Committed: Wed Jan 6 10:52:25 2016 -0800 ---------------------------------------------------------------------- python/pyspark/ml/classification.py | 13 ++++++++----- python/pyspark/ml/regression.py | 14 +++++++++----- 2 files changed, 17 insertions(+), 10 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/3aa34882/python/pyspark/ml/classification.py ---------------------------------------------------------------------- diff --git a/python/pyspark/ml/classification.py b/python/pyspark/ml/classification.py index 5599b8f..265c6a1 100644 --- a/python/pyspark/ml/classification.py +++ b/python/pyspark/ml/classification.py @@ -273,7 +273,7 @@ class GBTParams(TreeEnsembleParams): @inherit_doc class DecisionTreeClassifier(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPredictionCol, HasProbabilityCol, HasRawPredictionCol, DecisionTreeParams, - TreeClassifierParams, HasCheckpointInterval): + TreeClassifierParams, HasCheckpointInterval, HasSeed): """ `http://en.wikipedia.org/wiki/Decision_tree_learning Decision tree` learning algorithm for classification. @@ -313,12 +313,14 @@ class DecisionTreeClassifier(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPred def __init__(self, featuresCol="features", labelCol="label", predictionCol="prediction", probabilityCol="probability", rawPredictionCol="rawPrediction", maxDepth=5, maxBins=32, minInstancesPerNode=1, minInfoGain=0.0, - maxMemoryInMB=256, cacheNodeIds=False, checkpointInterval=10, impurity="gini"): + maxMemoryInMB=256, cacheNodeIds=False, checkpointInterval=10, impurity="gini", + seed=None): """ __init__(self, featuresCol="features", labelCol="label", predictionCol="prediction", \ probabilityCol="probability", rawPredictionCol="rawPrediction", \ maxDepth=5, maxBins=32, minInstancesPerNode=1, minInfoGain=0.0, \ - maxMemoryInMB=256, cacheNodeIds=False, checkpointInterval=10, impurity="gini") + maxMemoryInMB=256, cacheNodeIds=False, checkpointInterval=10, impurity="gini", \ + seed=None) """ super(DecisionTreeClassifier, self).__init__() self._java_obj = self._new_java_obj( @@ -335,12 +337,13 @@ class DecisionTreeClassifier(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPred probabilityCol="probability", rawPredictionCol="rawPrediction", maxDepth=5, maxBins=32, minInstancesPerNode=1, minInfoGain=0.0, maxMemoryInMB=256, cacheNodeIds=False, checkpointInterval=10, - impurity="gini"): + impurity="gini", seed=None): """ setParams(self, featuresCol="features", labelCol="label", predictionCol="prediction", \ probabilityCol="probability", rawPredictionCol="rawPrediction", \ maxDepth=5, maxBins=32, minInstancesPerNode=1, minInfoGain=0.0, \ - maxMemoryInMB=256, cacheNodeIds=False, checkpointInterval=10, impurity="gini") + maxMemoryInMB=256, cacheNodeIds=False, checkpointInterval=10, impurity="gini", \ + seed=None) Sets params for the DecisionTreeClassifier. """ kwargs = self.setParams._input_kwargs http://git-wip-us.apache.org/repos/asf/spark/blob/3aa34882/python/pyspark/ml/regression.py ---------------------------------------------------------------------- diff --git a/python/pyspark/ml/regression.py b/python/pyspark/ml/regression.py index a0bb8ce..401bac0 100644 --- a/python/pyspark/ml/regression.py +++ b/python/pyspark/ml/regression.py @@ -386,7 +386,8 @@ class GBTParams(TreeEnsembleParams): @inherit_doc class DecisionTreeRegressor(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPredictionCol, - DecisionTreeParams, TreeRegressorParams, HasCheckpointInterval): + DecisionTreeParams, TreeRegressorParams, HasCheckpointInterval, + HasSeed): """ `http://en.wikipedia.org/wiki/Decision_tree_learning Decision tree` learning algorithm for regression. @@ -415,11 +416,13 @@ class DecisionTreeRegressor(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPredi @keyword_only def __init__(self, featuresCol="features", labelCol="label", predictionCol="prediction", maxDepth=5, maxBins=32, minInstancesPerNode=1, minInfoGain=0.0, - maxMemoryInMB=256, cacheNodeIds=False, checkpointInterval=10, impurity="variance"): + maxMemoryInMB=256, cacheNodeIds=False, checkpointInterval=10, impurity="variance", + seed=None): """ __init__(self, featuresCol="features", labelCol="label", predictionCol="prediction", \ maxDepth=5, maxBins=32, minInstancesPerNode=1, minInfoGain=0.0, \ - maxMemoryInMB=256, cacheNodeIds=False, checkpointInterval=10, impurity="variance") + maxMemoryInMB=256, cacheNodeIds=False, checkpointInterval=10, \ + impurity="variance", seed=None) """ super(DecisionTreeRegressor, self).__init__() self._java_obj = self._new_java_obj( @@ -435,11 +438,12 @@ class DecisionTreeRegressor(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPredi def setParams(self, featuresCol="features", labelCol="label", predictionCol="prediction", maxDepth=5, maxBins=32, minInstancesPerNode=1, minInfoGain=0.0, maxMemoryInMB=256, cacheNodeIds=False, checkpointInterval=10, - impurity="variance"): + impurity="variance", seed=None): """ setParams(self, featuresCol="features", labelCol="label", predictionCol="prediction", \ maxDepth=5, maxBins=32, minInstancesPerNode=1, minInfoGain=0.0, \ - maxMemoryInMB=256, cacheNodeIds=False, checkpointInterval=10, impurity="variance") + maxMemoryInMB=256, cacheNodeIds=False, checkpointInterval=10, \ + impurity="variance", seed=None) Sets params for the DecisionTreeRegressor. """ kwargs = self.setParams._input_kwargs --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org
