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

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

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

tv.floe.metronome.classification.neuralnetworks.iterativereduce.WorkerNode
TODO - figure out / fix the configuration of the Vectorizer setup - vectorizer needs to accept {K,V} pairs EX: want to be able to read a sequence file of images and train a neural network - would give the great transfer rate of MR, with similar mechanics - more efficient throughput for learning at scale @author josh

    polr_ir.Setup();


    polr_ir.SimulateRun();


    
    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) );

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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();


    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) );

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