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https://issues.apache.org/jira/browse/SPARK-11234?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14973221#comment-14973221
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Kai Sasaki commented on SPARK-11234:
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[~xusen] Thank you so much for very insightful experiments!
{quote}
4. The evaluator forces me to select a metric method. But sometimes I want to
see all the evaluation results, say F1, precision-recall, AUC, etc.
{quote}
Yes, I agree with you. At the initial phase to run machine learning algorithm,
it is the case when we don't know what metrics we should see.
{quote}
5. ML transformers will get stuck when facing with Int type. It's strange that
we have to transform all Int values to double values before hand. I think a
wise auto casting is helpful.
{quote}
What kind of Transformer got stuck? The first transformer cannot handle input
int values, do you think?
> What's cooking classification
> -----------------------------
>
> Key: SPARK-11234
> URL: https://issues.apache.org/jira/browse/SPARK-11234
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Reporter: Xusen Yin
>
> I add the subtask to post the work on this dataset:
> https://www.kaggle.com/c/whats-cooking
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