[jira] [Commented] (SPARK-19467) PySpark ML shouldn't use circular imports

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-19467?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15853413#comment-15853413 ] 

Apache Spark commented on SPARK-19467:
--------------------------------------

User 'zero323' has created a pull request for this issue:
https://github.com/apache/spark/pull/16814

> PySpark ML shouldn't use circular imports
> -----------------------------------------
>
>                 Key: SPARK-19467
>                 URL: https://issues.apache.org/jira/browse/SPARK-19467
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, PySpark
>    Affects Versions: 2.0.0, 2.1.0, 2.2.0
>            Reporter: Maciej Szymkiewicz
>            Priority: Minor
>
> {{pyspark.ml}} and {{pyspark.ml.pipeline}} contain circular imports with the [former one|https://github.com/apache/spark/blob/39f328ba3519b01940a7d1cdee851ba4e75ef31f/python/pyspark/ml/__init__.py#L23]:
> {code}
> from pyspark.ml.pipeline import Pipeline, PipelineModel
> {code}
> and the [latter one|https://github.com/apache/spark/blob/39f328ba3519b01940a7d1cdee851ba4e75ef31f/python/pyspark/ml/pipeline.py#L24]:
> {code}
> from pyspark.ml import Estimator, Model, Transformer
> {code}
> This is unnecessary and can cause failures when working with external tools.



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