Package tv.floe.metronome.classification.neuralnetworks.iterativereduce

Examples of tv.floe.metronome.classification.neuralnetworks.iterativereduce.MasterNode

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    IRUnitDriver polr_ir = new IRUnitDriver("src/test/resources/run_profiles/unit_tests/nn/xor/app.unit_test.nn.xor.fiveworkers.properties");
    polr_ir.Setup();

    polr_ir.SimulateRun();

    MasterNode master = (MasterNode) polr_ir.getMaster();
   
    System.out.println("\n\nComplete: ");
   
    System.out.println("Gobal Results");
//    XOR_DatasetTestUtils.scoreNeuralNetworkXor( master.master_nn );
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    IRUnitDriver polr_ir = new IRUnitDriver("src/test/resources/run_profiles/unit_tests/nn/xor/app.unit_test.nn.xor.fourworkers.properties");
    polr_ir.Setup();

    polr_ir.SimulateRun();

    MasterNode master = (MasterNode) polr_ir.getMaster();
   
    System.out.println("\n\nComplete: ");

//    TestTwoWorkersXOR_IR_NN.scoreNeuralNetworkXor( master.master_nn );
   
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    WorkerNode singleWorker = (WorkerNode)polr_ir.getWorker().get(0);
    WorkerNode secondWorker = (WorkerNode)polr_ir.getWorker().get(1);
   
    MasterNode master = (MasterNode) polr_ir.getMaster();
   
    System.out.println("\n\nComplete: ");
    //Utils.PrintVector( master.polr.getBeta().viewRow(0) );

//    this.scoreNeuralNetworkXor( master.master_nn );
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    IRUnitDriver polr_ir = new IRUnitDriver("src/test/resources/run_profiles/unit_tests/nn/xor/app.unit_test.nn.xor.singlenode.properties");
    polr_ir.Setup();

    polr_ir.SimulateRun();

    MasterNode master = (MasterNode) polr_ir.getMaster();
   
    System.out.println("\n\nComplete: ");

//    XOR_DatasetTestUtils.scoreNeuralNetworkXor( master.master_nn );
   
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//    WorkerNode singleWorker = (WorkerNode)polr_ir.getWorker().get(0);
//    WorkerNode secondWorker = (WorkerNode)polr_ir.getWorker().get(1);
   
    MasterNode master = (MasterNode) polr_ir.getMaster();
   
    System.out.println("\n\nComplete: ");

//    TestTwoWorkersXOR_IR_NN.scoreNeuralNetworkXor( master.master_nn );
   
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    IRUnitDriver polr_ir = new IRUnitDriver("src/test/resources/run_profiles/unit_tests/nn/xor/app.unit_test.nn.xor.singlenode.adagrad.properties");
    polr_ir.Setup();

    polr_ir.SimulateRun();

    MasterNode master = (MasterNode) polr_ir.getMaster();
   
    System.out.println("\n\nComplete: ");

//    XOR_DatasetTestUtils.scoreNeuralNetworkXor( master.master_nn );
   
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    nwu.set(nnwd);
   
    nwu.toBytes();
    */
   
    MasterNode mnode = new MasterNode();
    mnode.master_nn = nn;
   
   
   
    try {

      Path out = new Path("/tmp/fooTest.model");
      FileSystem fs =
            out.getFileSystem(defaultConf);
     
      FSDataOutputStream fos;

      fos = fs.create(out);
        //LOG.info("Writing master results to " + out.toString());
        mnode.complete(fos);
       
        fos.flush();
        fos.close();

      //BufferedWriter bw = new BufferedWriter(new FileWriter(output_path));
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    polr_ir.SimulateRun();

    WorkerNode singleWorker = (WorkerNode)polr_ir.getWorker().get(0);
   
    MasterNode master = (MasterNode) polr_ir.getMaster();
   
    System.out.println("\n\nComplete: ");
    //Utils.PrintVector( master.polr.getBeta().viewRow(0) );
    System.out.println("w1 > RMSE: " + singleWorker.lastRMSE );
View Full Code Here
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Related Classes of tv.floe.metronome.classification.neuralnetworks.iterativereduce.MasterNode

  • tv.floe.metronome.classification.neuralnetworks.iterativereduce.xor.Test_XOR_IR_NN
  • tv.floe.metronome.classification.neuralnetworks.iterativereduce.xor.Test_XOR_IR_NN_Adagrad
  • tv.floe.metronome.classification.neuralnetworks.iterativereduce.xor.TestFiveWorkersXOR_IR_NN
  • tv.floe.metronome.classification.neuralnetworks.iterativereduce.xor.TestFourWorkersXOR_IR_NN
  • tv.floe.metronome.classification.neuralnetworks.iterativereduce.xor.TestSingleNodeXORTrainIR_NN
  • tv.floe.metronome.classification.neuralnetworks.iterativereduce.xor.TestThreeWorkersXOR_IR_NN
  • tv.floe.metronome.classification.neuralnetworks.iterativereduce.xor.TestTwoWorkersXOR_IR_NN
  • tv.floe.metronome.classification.neuralnetworks.learning.BackPropogationLearningAlgorithm
  • tv.floe.metronome.classification.neuralnetworks.networks.MultiLayerPerceptronNetwork
  • tv.floe.metronome.classification.neuralnetworks.serde.TestNetworkSerdeMechanics
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