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Vincent commented on SPARK-17055:
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[~sowen] Okay. hmm, I guess we have some misunderstanding here.
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Rémi Delassus commented on SPARK-17055:
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Discussion in which you said you were closing it, not why
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Sean Owen commented on SPARK-17055:
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I did so following the discussion on the PR, that you were a part
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Vincent commented on SPARK-17055:
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[~srowen] May I ask the reason why we close this issue? It'd be
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Rémi Delassus commented on SPARK-17055:
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I had an issue that could be solved by this kind of
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Vincent commented on SPARK-17055:
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sorry for late reply. Yes, I just knew they intend to rename it to
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Sean Owen commented on SPARK-17055:
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>From a comment in the PR, I get it. This is not actually about
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Sean Owen commented on SPARK-17055:
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The model will always have 0% accuracy on CV / test data whose
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Vincent commented on SPARK-17055:
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well, a better model will have a better cv performance on data with
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Sean Owen commented on SPARK-17055:
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Yes, I understand how model fitting works. If a label is present
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Vincent commented on SPARK-17055:
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one of the most common tasks is to fit a "model" to a set of training
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Sean Owen commented on SPARK-17055:
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Hm, when would you want a label to not be present in training but
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Apache Spark commented on SPARK-17055:
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User 'VinceShieh' has created a pull request for this issue:
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