Package hivemall.io

Examples of hivemall.io.PredictionModel.configureClock()

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            logger.info("Build a sparse model with initial with " + initModelSize
                    + " initial dimensions");
            model = new SparseModel(initModelSize, useCovar);
        }
        if(mixConnectInfo != null) {
            model.configureClock();
            model = new SynchronizedModelWrapper(model);
            MixClient client = configureMixClient(mixConnectInfo, label, model);
            model.setUpdateHandler(client);
            this.mixClient = client;
        }
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        serverExec.submit(server);

        waitForState(server, ServerState.RUNNING);

        PredictionModel model = new DenseModel(16777216, false);
        model.configureClock();
        MixClient client = null;
        try {
            client = new MixClient(MixEventName.average, "testSimpleScenario", "localhost:" + port, false, 2, model);
            model.setUpdateHandler(client);
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        serverExec.submit(server);

        waitForState(server, ServerState.RUNNING);

        PredictionModel model = new DenseModel(16777216, false);
        model.configureClock();
        MixClient client = null;
        try {
            client = new MixClient(MixEventName.average, "testSSL", "localhost:" + port, true, 2, model);
            model.setUpdateHandler(client);
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        serverExec.shutdown();
    }

    private static void invokeClient(String groupId, int serverPort) throws InterruptedException {
        PredictionModel model = new DenseModel(16777216, false);
        model.configureClock();
        MixClient client = null;
        try {
            client = new MixClient(MixEventName.average, groupId, "localhost:" + serverPort, false, 2, model);
            model.setUpdateHandler(client);
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    private static void invokeClient01(String groupId, int serverPort, boolean denseModel)
            throws InterruptedException {
        PredictionModel model = denseModel ? new DenseModel(100, false)
                : new SparseModel(100, false);
        model.configureClock();
        MixClient client = null;
        try {
            client = new MixClient(MixEventName.average, groupId, "localhost:" + serverPort, false, 3, model);
            model.setUpdateHandler(client);
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