Examples of addConnections()

Examples of LONI.tree.workflow.Connections.addConnections()

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    Connections connections = new Connections();
   
    for(Step s : workflow.getSteps()){
      Pair<GraphObject, LoniEnvironment> dat;
      dat = (Pair<GraphObject, LoniEnvironment>) stepVisitor.visit(s, context);
      connections.addConnections(dat.getElem2().getConnections());
      mgroup.getModules().addAll(dat.getElem2().getModules());
      if(dat.getElem1() != null)
        mgroup.getModules().add(dat.getElem1());
     
    }
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Examples of com.dci.intellij.dbn.connection.ModuleConnectionBundle.addConnections()

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    @NotNull
    public Module createModule(@NotNull ModifiableModuleModel moduleModel) throws InvalidDataException, IOException, ModuleWithNameAlreadyExists, JDOMException, ConfigurationException {
        Module module = super.createModule(moduleModel);
        ModuleConnectionBundle connectionManager = ModuleConnectionBundle.getInstance(module);
        connectionManager.setModified(true);
        connectionManager.addConnections(tempConnectionManager.getConnectionHandlers());

        return module;
    }

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Examples of com.github.neuralnetworks.architecture.NeuralNetworkImpl.addConnections()

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  List<Connections> connections = new ArrayList<>();
  connections.add(c1);

  NeuralNetworkImpl nn = new NeuralNetworkImpl();
  nn.addConnections(connections.toArray(new Connections[connections.size()]));

  ValuesProvider vp = TensorFactory.tensorProvider(nn, 2, true);

  Matrix i1 = vp.get(nn.getInputLayer());
  i1.set(1, 0, 0);
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Examples of com.github.neuralnetworks.architecture.NeuralNetworkImpl.addConnections()

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  connections = new ArrayList<>();
  connections.add(c1);
  connections.add(bc);

  nn = new NeuralNetworkImpl();
  nn.addConnections(connections.toArray(new Connections[connections.size()]));
  vp = TensorFactory.tensorProvider(nn, 2, true);

  i1 = vp.get(nn.getInputLayer());
  i1.set(1, 0, 0);
  i1.set(2, 1, 0);
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Examples of com.github.neuralnetworks.architecture.NeuralNetworkImpl.addConnections()

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  connections = new ArrayList<>();
  connections.add(c1);
  connections.add(c2);
  connections.add(bc);
  nn = new NeuralNetworkImpl();
  nn.addConnections(connections.toArray(new Connections[connections.size()]));
  vp = TensorFactory.tensorProvider(nn, 2, true);

  i1 = vp.get(il1);
  i1.set(1, 0, 0);
  i1.set(2, 1, 0);
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Examples of com.github.neuralnetworks.architecture.NeuralNetworkImpl.addConnections()

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  ConnectionCalculatorFullyConnected aws = new AparapiWeightedSumConnectionCalculator();

  List<Connections> connections = new ArrayList<>();
  connections.add(c1);
  NeuralNetworkImpl nn = new NeuralNetworkImpl();
  nn.addConnections(connections.toArray(new Connections[connections.size()]));
  ValuesProvider vp = TensorFactory.tensorProvider(nn, 2, true);

  Matrix i1 = vp.get(il1);
  i1.set(1, 0, 0);
  i1.set(2, 1, 0);
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Examples of com.github.neuralnetworks.architecture.NeuralNetworkImpl.addConnections()

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  // with bias
  connections = new ArrayList<>();
  connections.add(c1);
  connections.add(bc);
  nn = new NeuralNetworkImpl();
  nn.addConnections(connections.toArray(new Connections[connections.size()]));
  vp = TensorFactory.tensorProvider(nn, 2, true);
  i1 = vp.get(il1);
  i1.set(1, 0, 0);
  i1.set(2, 1, 0);
  i1.set(3, 2, 0);
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Examples of com.github.neuralnetworks.architecture.NeuralNetworkImpl.addConnections()

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  connections = new ArrayList<>();
  connections.add(c1);
  connections.add(c2);
  connections.add(bc);
  nn = new NeuralNetworkImpl();
  nn.addConnections(connections.toArray(new Connections[connections.size()]));
  vp = TensorFactory.tensorProvider(nn, 2, true);

  i1 = vp.get(il1);
  i1.set(1, 0, 0);
  i1.set(2, 1, 0);
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Examples of com.github.neuralnetworks.architecture.NeuralNetworkImpl.addConnections()

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  mlp.addLayer(input);

  FullyConnected fc1 = cf.fullyConnected(input, leaf1, 2, 3);
  fc1.getWeights().forEach(i -> fc1.getWeights().getElements()[i] = 0.1f);
  mlp.addConnections(fc1);

  FullyConnected fc2 = cf.fullyConnected(input, leaf2, 2, 3);
  fc2.getWeights().forEach(i -> fc2.getWeights().getElements()[i] = 0.2f);
  mlp.addConnections(fc2);
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Examples of com.github.neuralnetworks.architecture.NeuralNetworkImpl.addConnections()

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  fc1.getWeights().forEach(i -> fc1.getWeights().getElements()[i] = 0.1f);
  mlp.addConnections(fc1);

  FullyConnected fc2 = cf.fullyConnected(input, leaf2, 2, 3);
  fc2.getWeights().forEach(i -> fc2.getWeights().getElements()[i] = 0.2f);
  mlp.addConnections(fc2);

  FullyConnected fc3 = cf.fullyConnected(leaf1, output, 3, 1);
  fc3.getWeights().forEach(i -> fc3.getWeights().getElements()[i] = 0.3f);
  mlp.addConnections(fc3);
  FullyConnected fc4 = cf.fullyConnected(leaf2, output, 3, 1);
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