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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-1979) Implement Loss Functions
Date Wed, 01 Jun 2016 01:52:13 GMT

    [ https://issues.apache.org/jira/browse/FLINK-1979?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15309054#comment-15309054
] 

ASF GitHub Bot commented on FLINK-1979:
---------------------------------------

Github user chiwanpark commented on a diff in the pull request:

    https://github.com/apache/flink/pull/1985#discussion_r65291911
  
    --- Diff: flink-libraries/flink-ml/src/test/scala/org/apache/flink/ml/optimization/LossFunctionTest.scala
---
    @@ -0,0 +1,102 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one
    + * or more contributor license agreements.  See the NOTICE file
    + * distributed with this work for additional information
    + * regarding copyright ownership.  The ASF licenses this file
    + * to you under the Apache License, Version 2.0 (the
    + * "License"); you may not use this file except in compliance
    + * with the License.  You may obtain a copy of the License at
    + *
    + *     http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +
    +package org.apache.flink.ml.optimization
    +
    +import org.apache.flink.ml.common.{LabeledVector, WeightVector}
    +import org.apache.flink.ml.math.DenseVector
    +import org.scalatest.{Matchers, FlatSpec}
    +import org.apache.flink.test.util.FlinkTestBase
    +
    +
    +class LossFunctionTest extends FlatSpec with Matchers with FlinkTestBase {
    --- End diff --
    
    We don't need to extend `FlinkTestBase` because `LossFunctionTest` do not use Flink cluster.


> Implement Loss Functions
> ------------------------
>
>                 Key: FLINK-1979
>                 URL: https://issues.apache.org/jira/browse/FLINK-1979
>             Project: Flink
>          Issue Type: Improvement
>          Components: Machine Learning Library
>            Reporter: Johannes Günther
>            Assignee: Johannes Günther
>            Priority: Minor
>              Labels: ML
>
> For convex optimization problems, optimizer methods like SGD rely on a pluggable implementation
of a loss function and its first derivative.



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