flink-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From thvasilo <...@git.apache.org>
Subject [GitHub] flink pull request: [FLINK-1992] [ml] Add convergence criterion to...
Date Thu, 21 May 2015 09:58:07 GMT
Github user thvasilo commented on a diff in the pull request:

    https://github.com/apache/flink/pull/692#discussion_r30787978
  
    --- Diff: flink-staging/flink-ml/src/main/scala/org/apache/flink/ml/optimization/GradientDescent.scala
---
    @@ -36,19 +36,20 @@ import org.apache.flink.ml.optimization.Solver._
       * At the moment, the whole partition is used for SGD, making it effectively a batch
gradient
       * descent. Once a sampling operator has been introduced, the algorithm can be optimized
       *
    -  * @param runParameters The parameters to tune the algorithm. Currently these include:
    -  *                      [[Solver.LossFunction]] for the loss function to be used,
    -  *                      [[Solver.RegularizationType]] for the type of regularization,
    -  *                      [[Solver.RegularizationParameter]] for the regularization parameter,
    +  *  The parameters to tune the algorithm are:
    +  *                      [[Solver.LossFunctionParameter]] for the loss function to be
used,
    +  *                      [[Solver.RegularizationTypeParameter]] for the type of regularization,
    +  *                      [[Solver.RegularizationValueParameter]] for the regularization
parameter,
    --- End diff --
    
    I'm in favor of shorter version as well, I'll change it back.


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastructure@apache.org or file a JIRA ticket
with INFRA.
---

Mime
View raw message