/**
   * Feeds the {@link Network with the final phrase consisting of the first
   * two words of the final question "fox, eats, ...".
   *
   * @param network   the current {@link Network} object
   * @param it        an {@link Iterator} over the input source file lines
   * @return
   */
  Term feedQuestion(Network network, String[] phrase) {
    for (int i = 0; i < 2; i++) {
      int[] sdr = getFingerprintSDR(phrase[i]);
      network.compute(sdr);
    }
    int[] sdr = new int[128 * 128];
    Arrays.fill(sdr, 1);

    Layer<?> layer = network.lookup("Region 1").lookup("Layer 2/3");
    Set<Cell> predictiveCells = layer.getConnections().getPredictiveCells();
    System.out.println("predictiveCells " + predictiveCells.toString());
    int[] prediction =
        SDR.cellsAsColumnIndices(predictiveCells, layer.getConnections().getCellsPerColumn());

    network.compute(sdr);
    Set<Cell> ffActive = layer.getActiveCells();
    System.out.println("activeCells " + ffActive.toString());
    int[] paPrediction =
        SDR.cellsAsColumnIndices(ffActive, layer.getConnections().getCellsPerColumn());

    Term term = getClosestTerm(prediction);
    Term paterm = getClosestTerm(paPrediction);

    System.out.println(paterm.toString());

    cache.put(term.getTerm(), term);

    return term;
  }
Example #2
0
  @Ignore
  public void testPlayground() {
    final int NUM_CYCLES = 600;
    final int INPUT_GROUP_COUNT = 7; // Days of Week

    ///////////////////////////////////////
    //          Load a Network           //
    ///////////////////////////////////////
    Network network = getLoadedDayOfWeekNetwork();

    int cellsPerCol = (int) network.getParameters().get(KEY.CELLS_PER_COLUMN);

    network
        .observe()
        .subscribe(
            new Observer<Inference>() {
              @Override
              public void onCompleted() {}

              @Override
              public void onError(Throwable e) {
                e.printStackTrace();
              }

              @SuppressWarnings("unused")
              @Override
              public void onNext(Inference inf) {
                /** see {@link #createDayOfWeekInferencePrintout()} */
                int cycle = dayOfWeekPrintout.apply(inf, cellsPerCol);
              }
            });

    Publisher pub = network.getPublisher();

    network.start();

    int cycleCount = 0;
    for (; cycleCount < NUM_CYCLES; cycleCount++) {
      for (double j = 0; j < INPUT_GROUP_COUNT; j++) {
        pub.onNext("" + j);
      }

      network.reset();
    }

    // Test network output
    try {
      Region r1 = network.lookup("r1");
      r1.lookup("1").getLayerThread().join(2000);
    } catch (Exception e) {
      e.printStackTrace();
    }
  }
  /**
   * Feeds the {@link Network with the final phrase consisting of the first
   * two words of the final question "fox, eats, ...".
   *
   * @param network   the current {@link Network} object
   * @param it        an {@link Iterator} over the input source file lines
   * @return
   */
  Term feedQuestion(Network network, String[] phrase) {
    for (int i = 0; i < 2; i++) {
      int[] sdr = getFingerprintSDR(phrase[i]);
      network.compute(sdr);
    }

    Layer<?> layer = network.lookup("Region 1").lookup("Layer 2/3");
    Set<Cell> predictiveCells = layer.getPredictiveCells();
    int[] prediction =
        SDR.cellsAsColumnIndices(predictiveCells, layer.getConnections().getCellsPerColumn());
    Term term = getClosestTerm(prediction);
    cache.put(term.getTerm(), term);

    return term;
  }