[jira] [Created] (SPARK-25124) VectorSizeHint.size is buggy, breaking streaming pipeline

["Timothy Hunter (JIRA)" <ji...@apache.org>]

Timothy Hunter created SPARK-25124:
--------------------------------------

             Summary: VectorSizeHint.size is buggy, breaking streaming pipeline
                 Key: SPARK-25124
                 URL: https://issues.apache.org/jira/browse/SPARK-25124
             Project: Spark
          Issue Type: Bug
          Components: ML
    Affects Versions: 2.3.1
            Reporter: Timothy Hunter


Currently, when using {{VectorSizeHint().setSize(3)}} in an ML pipeline, transforming a stream will return a nondescript exception about the stream not started. At core are the following bugs that {{setSize}} and {{getSize}} do not {{return}} values but {{None}}:

https://github.com/apache/spark/blob/master/python/pyspark/ml/feature.py#L3846

How to reproduce, using the example in the doc:

{code}
from pyspark.ml.linalg import Vectors
from pyspark.ml import Pipeline, PipelineModel
from pyspark.ml.feature import VectorAssembler, VectorSizeHint
data = [(Vectors.dense([1., 2., 3.]), 4.)]
df = spark.createDataFrame(data, ["vector", "float"])
sizeHint = VectorSizeHint(inputCol="vector", handleInvalid="skip").setSize(3) # Will fail
vecAssembler = VectorAssembler(inputCols=["vector", "float"], outputCol="assembled")
pipeline = Pipeline(stages=[sizeHint, vecAssembler])
pipelineModel = pipeline.fit(df)
pipelineModel.transform(df).head().assembled
{code}



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org