diff options
Diffstat (limited to 'python/pyspark/ml/pipeline.py')
| -rw-r--r-- | python/pyspark/ml/pipeline.py | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/python/pyspark/ml/pipeline.py b/python/pyspark/ml/pipeline.py index 2b5504bc29..9d654e8b0f 100644 --- a/python/pyspark/ml/pipeline.py +++ b/python/pyspark/ml/pipeline.py @@ -25,7 +25,7 @@ from pyspark import since from pyspark.ml import Estimator, Model, Transformer from pyspark.ml.param import Param, Params from pyspark.ml.util import keyword_only, JavaMLWriter, JavaMLReader, MLReadable, MLWritable -from pyspark.ml.wrapper import JavaWrapper +from pyspark.ml.wrapper import JavaParams from pyspark.mllib.common import inherit_doc @@ -177,7 +177,7 @@ class Pipeline(Estimator, MLReadable, MLWritable): # Create a new instance of this stage. py_stage = cls() # Load information from java_stage to the instance. - py_stages = [JavaWrapper._from_java(s) for s in java_stage.getStages()] + py_stages = [JavaParams._from_java(s) for s in java_stage.getStages()] py_stage.setStages(py_stages) py_stage._resetUid(java_stage.uid()) return py_stage @@ -195,7 +195,7 @@ class Pipeline(Estimator, MLReadable, MLWritable): for idx, stage in enumerate(self.getStages()): java_stages[idx] = stage._to_java() - _java_obj = JavaWrapper._new_java_obj("org.apache.spark.ml.Pipeline", self.uid) + _java_obj = JavaParams._new_java_obj("org.apache.spark.ml.Pipeline", self.uid) _java_obj.setStages(java_stages) return _java_obj @@ -275,7 +275,7 @@ class PipelineModel(Model, MLReadable, MLWritable): Used for ML persistence. """ # Load information from java_stage to the instance. - py_stages = [JavaWrapper._from_java(s) for s in java_stage.stages()] + py_stages = [JavaParams._from_java(s) for s in java_stage.stages()] # Create a new instance of this stage. py_stage = cls(py_stages) py_stage._resetUid(java_stage.uid()) @@ -295,6 +295,6 @@ class PipelineModel(Model, MLReadable, MLWritable): java_stages[idx] = stage._to_java() _java_obj =\ - JavaWrapper._new_java_obj("org.apache.spark.ml.PipelineModel", self.uid, java_stages) + JavaParams._new_java_obj("org.apache.spark.ml.PipelineModel", self.uid, java_stages) return _java_obj |