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https://issues.apache.org/jira/browse/SPARK-5012?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14273561#comment-14273561
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Meethu Mathew commented on SPARK-5012:
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I added a new class GaussianMixtureModel in clustering.py and the method
predict in it and trying to pass a List of more than one dimension to the
function
_py2java , but I am getting the exception
'list' object has no attribute '_get_object_id'
and when I give a tuple input (Vectors.dense([0.8786,
-0.7855]),Vectors.dense([-0.1863, 0.7799])) exception is like
'numpy.ndarray' object has no attribute '_get_object_id'. Can you help me to
solve this?
My aim is to call the predictsoft() in GaussianMixtureModel.scala from
clustering.py by passing the values of weight,mean and sigma
> Python API for Gaussian Mixture Model
> -------------------------------------
>
> Key: SPARK-5012
> URL: https://issues.apache.org/jira/browse/SPARK-5012
> Project: Spark
> Issue Type: New Feature
> Components: MLlib, PySpark
> Reporter: Xiangrui Meng
> Assignee: Meethu Mathew
>
> Add Python API for the Scala implementation of GMM.
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