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From "Theodore Vasiloudis (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-2102) Add predict operation for LabeledVector
Date Thu, 28 May 2015 15:08:17 GMT

    [ https://issues.apache.org/jira/browse/FLINK-2102?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14563040#comment-14563040

Theodore Vasiloudis commented on FLINK-2102:

My suggestion for an initial version of this is to add a PredictOperation that looks like
this to each implemented Predictor:
implicit def predictLabeledValues = {
    new PredictOperation[PredictorType, LabeledVector, (Double, Double)] {
i.e. for each example in the dataset, we make a prediction, and then return a tuple with the
true value and the predicted value. That {{DataSet[(Double, Double)]}} could then be passed
on to a scoring function.

> Add predict operation for LabeledVector
> ---------------------------------------
>                 Key: FLINK-2102
>                 URL: https://issues.apache.org/jira/browse/FLINK-2102
>             Project: Flink
>          Issue Type: Improvement
>          Components: Machine Learning Library
>            Reporter: Theodore Vasiloudis
>            Assignee: Theodore Vasiloudis
>            Priority: Minor
>              Labels: ML
>             Fix For: 0.9
> Currently we can only call predict on DataSet[V <: Vector].
> A lot of times though we have a DataSet[LabeledVector] that we split into a train and
test set.
> We should be able to make predictions on the test DataSet[LabeledVector] without having
to transform it into a DataSet[Vector]

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