yuhao yang created SPARK-15668:
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Summary: ml.feature: update check schema to avoid confusion when
user use MLlib.vector as input type
Key: SPARK-15668
URL: https://issues.apache.org/jira/browse/SPARK-15668
Project: Spark
Issue Type: Bug
Components: ML
Reporter: yuhao yang
Priority: Minor
As we use ml.vector to replace mllib.vector in ml, users use mllib.vector as
input column will get error. Yet some error message is confusing:
s"Input column ${$(inputCol)} must be a vector column")
The input column probably is already a vector of mllib. Update to avoid the
confusion.
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