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

2018-08-24 Thread Apache Spark (JIRA) 


[ 
https://issues.apache.org/jira/browse/SPARK-25124?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16592174#comment-16592174
 ] 

Apache Spark commented on SPARK-25124:
--

User 'huaxingao' has created a pull request for this issue:
https://github.com/apache/spark/pull/8

> 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
>Assignee: Huaxin Gao
>Priority: Major
>  Labels: beginner, starter
> Fix For: 2.4.0
>
>
> 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}



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

2018-08-23 Thread Joseph K. Bradley (JIRA) 


[ 
https://issues.apache.org/jira/browse/SPARK-25124?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16590919#comment-16590919
 ] 

Joseph K. Bradley commented on SPARK-25124:
---

I merged https://github.com/apache/spark/pull/22136 into master for target 
2.4.0.  I'll leave this open until we backport it to branch-2.3

> 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
>Assignee: Huaxin Gao
>Priority: Major
>  Labels: beginner, starter
> Fix For: 2.4.0
>
>
> 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}



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

2018-08-17 Thread Apache Spark (JIRA) 


[ 
https://issues.apache.org/jira/browse/SPARK-25124?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16584251#comment-16584251
 ] 

Apache Spark commented on SPARK-25124:
--

User 'huaxingao' has created a pull request for this issue:
https://github.com/apache/spark/pull/22136

> 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
>Priority: Major
>  Labels: beginner, starter
>
> 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}



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

2018-08-17 Thread Huaxin Gao (JIRA) 


[ 
https://issues.apache.org/jira/browse/SPARK-25124?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16584215#comment-16584215
 ] 

Huaxin Gao commented on SPARK-25124:


I will submit a PR very soon. 

> 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
>Priority: Major
>  Labels: beginner, starter
>
> 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}



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