com.cloudera.knittingboar.sgd.TestRunPOLRWorkerSingleBatch.java Source code

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Here is the source code for com.cloudera.knittingboar.sgd.TestRunPOLRWorkerSingleBatch.java

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/**
 * 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 com.cloudera.knittingboar.sgd;

import java.io.IOException;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.FileInputFormat;
import org.apache.hadoop.mapred.InputSplit;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapred.Reporter;
import org.apache.hadoop.mapred.TextInputFormat;
import org.apache.mahout.classifier.sgd.L1;
import org.apache.mahout.classifier.sgd.OnlineLogisticRegression;

import com.cloudera.knittingboar.io.InputRecordsSplit;
import com.cloudera.knittingboar.messages.GradientUpdateMessage;

import junit.framework.TestCase;

public class TestRunPOLRWorkerSingleBatch extends TestCase {

    private static JobConf defaultConf = new JobConf();
    private static FileSystem localFs = null;
    static {
        try {
            defaultConf.set("fs.defaultFS", "file:///");
            localFs = FileSystem.getLocal(defaultConf);
        } catch (IOException e) {
            throw new RuntimeException("init failure", e);
        }
    }

    private static Path workDir = new Path(
            System.getProperty("test.build.data", "/Users/jpatterson/Downloads/datasets/20news-kboar/train3/"));

    public Configuration generateDebugConfigurationObject() {

        Configuration c = new Configuration();

        // feature vector size
        c.setInt("com.cloudera.knittingboar.setup.FeatureVectorSize", 10000);

        c.setInt("com.cloudera.knittingboar.setup.numCategories", 20);

        // local input split path
        c.set("com.cloudera.knittingboar.setup.LocalInputSplitPath", "hdfs://127.0.0.1/input/0");

        c.set("com.cloudera.knittingboar.setup.RecordFactoryClassname",
                "com.cloudera.knittingboar.records.TwentyNewsgroupsRecordFactory");

        /*    // predictor label names
            c.set( "com.cloudera.knittingboar.setup.PredictorLabelNames", "x,y" );
            
            // predictor var types
            c.set( "com.cloudera.knittingboar.setup.PredictorVariableTypes", "numeric,numeric" );
                
            // target variables
            c.set( "com.cloudera.knittingboar.setup.TargetVariableName", "color" );
            
            // column header names
            c.set( "com.cloudera.knittingboar.setup.ColumnHeaderNames", "x,y,shape,color,k,k0,xx,xy,yy,a,b,c,bias" );
            //c.set( "com.cloudera.knittingboar.setup.ColumnHeaderNames", "\"x\",\"y\",\"shape\",\"color\",\"k\",\"k0\",\"xx\",\"xy\",\"yy\",\"a\",\"b\",\"c\",\"bias\"\n" );
         */
        return c;

    }

    public InputSplit[] generateDebugSplits(String input_file, JobConf job) {

        long block_size = localFs.getDefaultBlockSize();

        System.out.println("default block size: " + (block_size / 1024 / 1024) + "MB");

        // ---- set where we'll read the input files from -------------
        FileInputFormat.setInputPaths(job, workDir);

        // try splitting the file in a variety of sizes
        TextInputFormat format = new TextInputFormat();
        format.configure(job);

        int numSplits = 1;

        InputSplit[] splits = null;

        try {
            splits = format.getSplits(job, numSplits);
        } catch (IOException e) {
            // TODO Auto-generated catch block
            e.printStackTrace();
        }

        return splits;

    }

    public void testRunSingleBatch() throws Exception {

        POLRWorkerDriver worker_model_builder_0 = new POLRWorkerDriver();

        // simulates the conf stuff
        worker_model_builder_0.setConf(this.generateDebugConfigurationObject());

        // ---- this all needs to be done in 
        JobConf job = new JobConf(defaultConf);

        InputSplit[] splits = generateDebugSplits("kboar-shard-0.txt", job);
        InputRecordsSplit custom_reader = new InputRecordsSplit(job, splits[0]);

        // TODO: set this up to run through the conf pathways
        worker_model_builder_0.setupInputSplit(custom_reader);
        worker_model_builder_0.LoadConfigVarsLocally();
        worker_model_builder_0.Setup();

        System.out.println("> Feature Size: " + worker_model_builder_0.FeatureVectorSize);
        System.out.println("> Category Size: " + worker_model_builder_0.num_categories);

        worker_model_builder_0.RunNextTrainingBatch();

        GradientUpdateMessage msg = worker_model_builder_0.GenerateUpdateMessage();

        msg.gradient.Debug();

    }

}