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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-2259) Support training Estimators using a (train, validation, test) split of the available data
Date Fri, 22 Apr 2016 12:51:12 GMT

    [ https://issues.apache.org/jira/browse/FLINK-2259?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15253867#comment-15253867
] 

ASF GitHub Bot commented on FLINK-2259:
---------------------------------------

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

    https://github.com/apache/flink/pull/1898#discussion_r60732832
  
    --- Diff: flink-libraries/flink-ml/src/main/scala/org/apache/flink/ml/preprocessing/Splitter.scala
---
    @@ -0,0 +1,215 @@
    +/*
    + * 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.preprocessing
    +
    +import org.apache.flink.api.common.typeinfo.{TypeInformation, BasicTypeInfo}
    +import org.apache.flink.api.java.Utils
    +import org.apache.flink.api.scala. DataSet
    --- End diff --
    
    whitespace between `scala.` and `DataSet`


> Support training Estimators using a (train, validation, test) split of the available
data
> -----------------------------------------------------------------------------------------
>
>                 Key: FLINK-2259
>                 URL: https://issues.apache.org/jira/browse/FLINK-2259
>             Project: Flink
>          Issue Type: New Feature
>          Components: Machine Learning Library
>            Reporter: Theodore Vasiloudis
>            Assignee: Trevor Grant
>            Priority: Minor
>              Labels: ML
>
> When there is an abundance of data available, a good way to train models is to split
the available data into 3 parts: Train, Validation and Test.
> We use the Train data to train the model, the Validation part is used to estimate the
test error and select hyperparameters, and the Test is used to evaluate the performance of
the model, and assess its generalization [1]
> This is a common approach when training Artificial Neural Networks, and a good strategy
to choose in data-rich environments. Therefore we should have some support of this data-analysis
process in our Estimators.
> [1] Friedman, Jerome, Trevor Hastie, and Robert Tibshirani. The elements of statistical
learning. Vol. 1. Springer, Berlin: Springer series in statistics, 2001.



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