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https://issues.apache.org/jira/browse/HAMA-822?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13841073#comment-13841073
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Hudson commented on HAMA-822:
-----------------------------
ABORTED: Integrated in Hama-trunk #208 (See
[https://builds.apache.org/job/Hama-trunk/208/])
HAMA-822: Add feature transformer interface to improve the power and
flexibility of existing machine learning model (yxjiang: rev 1548171)
* /hama/trunk/CHANGES.txt
*
/hama/trunk/commons/src/main/java/org/apache/hama/commons/math/DoubleVector.java
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/ann/AutoEncoder.java
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/ann/NeuralNetwork.java
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/ann/NeuralNetworkTrainer.java
*
/hama/trunk/ml/src/main/java/org/apache/hama/ml/ann/SmallLayeredNeuralNetwork.java
*
/hama/trunk/ml/src/main/java/org/apache/hama/ml/perception/MultiLayerPerceptron.java
*
/hama/trunk/ml/src/main/java/org/apache/hama/ml/perception/SmallMultiLayerPerceptron.java
*
/hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/LinearRegression.java
*
/hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/LogisticRegression.java
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/util
*
/hama/trunk/ml/src/main/java/org/apache/hama/ml/util/DefaultFeatureTransformer.java
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/util/FeatureTransformer.java
* /hama/trunk/ml/src/test/java/org/apache/hama/ml/ann/TestAutoEncoder.java
*
/hama/trunk/ml/src/test/java/org/apache/hama/ml/ann/TestSmallLayeredNeuralNetwork.java
*
/hama/trunk/ml/src/test/java/org/apache/hama/ml/perception/TestSmallMultiLayerPerceptron.java
> Add feature transformer interface to improve the power and flexibility of
> existing machine learning model
> ---------------------------------------------------------------------------------------------------------
>
> Key: HAMA-822
> URL: https://issues.apache.org/jira/browse/HAMA-822
> Project: Hama
> Issue Type: New Feature
> Components: machine learning
> Affects Versions: 0.7.0
> Reporter: Yexi Jiang
> Assignee: Yexi Jiang
> Labels: machine_learning
> Fix For: 0.7.0
>
> Attachments: HAMA-822.patch
>
>
> Add the feature transformer interface to improve the power of the existing
> learning model.
> If the user implicitly know how to transform and extract the features, the
> user can implement the concrete feature transformer to extract the useful
> information from the original features.
> The implemented feature transformer can reduce the dimension of the original
> features to improve the generalization of the model. Or it can transform the
> original nonlinearly separable features by mapping them to a linear separable
> space.
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