List of usage examples for org.apache.hadoop.io Writable interface-usage
From source file bigsidemodel.DataNode.java
public class DataNode implements Writable { private int n; private float[] data; public DataNode() { }
From source file bigsidemodel.ModelNode.java
/**
* Representation of a graph node for PageRank.
*
* @author Jimmy Lin
* @author Michael Schatz
*/
From source file bixo.datum.HttpHeaders.java
public class HttpHeaders implements Writable { private Map<String, List<String>> _headers; public HttpHeaders() { this(null);
From source file bixo.datum.Outlink.java
public class Outlink implements Writable { private static final String NO_FOLLOW_REL_ATTRIBUTE = "nofollow"; private String _toUrl; private String _anchorText;
From source file bixo.examples.webmining.PageResult.java
public class PageResult implements Writable { public static final String SOURCE_URL_FN = "sourceurl"; public static final String IMG_URL_FN = "imageurl"; public static final String DESC_FN = "description";
From source file boa.io.EmitValue.java
/**
* A {@link Writable} that contains a datum and an optional metadatum to be
* emitted to a Boa table.
*
* @author anthonyu
* @author rdyer
From source file boosting.classifiers.DecisionStumpWritable.java
/**
<!-- globalinfo-start -->
* Class for building and using a decision stump. Usually used in conjunction with a boosting algorithm. Does regression (based on mean-squared error) or classification (based on entropy). Missing is treated as a separate value.
* <p/>
<!-- globalinfo-end -->
*
From source file ca.uwaterloo.iss4e.common.ArrayListWritable.java
/**
* Copyright (c) 2014 Xiufeng Liu ( xiufeng.liu@uwaterloo.ca )
*
* This file is free software: you may copy, redistribute and/or modify it
* under the terms of the GNU General Public License version 2
* as published by the Free Software Foundation.
From source file cc.solr.lucene.store.hdfs.HdfsMetaBlock.java
class HdfsMetaBlock implements Writable { long logicalPosition; long realPosition; long length; @Override
From source file chapter4.src.logistic.LogisticModelParametersPredict.java
/** * Encapsulates everything we need to know about a model and how it reads and vectorizes its input. * This encapsulation allows us to coherently save and restore a model from a file. This also * allows us to keep command line arguments that affect learning in a coherent way. */ public class LogisticModelParametersPredict implements Writable {