List of initModel() Examples

Examples of initModel()

joshua.discriminative.training.learning_algorithm.GradientBasedOptimizer.initModel()
org.gephi.visualization.api.initializer.Modeler.initModel()
org.gephi.visualization.model.edge.EdgeModeler.initModel()
org.gephi.visualization.model.node.NodeModeler.initModel()
org.springframework.web.method.annotation.ModelFactory.initModel()
Populate the model in the following order:
1. Retrieve "known" session attributes -- i.e. attributes listed via {@link SessionAttributes @SessionAttributes} and previously stored in the in the model at least once
2. Invoke {@link ModelAttribute @ModelAttribute} methods
3. Find method arguments eligible as session attributes and retrieve them if they're not already present in the model
@param request the current request @param mavContainer contains the model to be initialized @param handlerMethod the method for which the model is initialized @throws Exception may arise from {@code @ModelAttribute} methods

Examples of joshua.discriminative.training.learning_algorithm.GradientBasedOptimizer.initModel()

        DiscriminativeSupport.loadModel(f_feature_set, crfModel, null);
      }else{
        System.out.println("In crf, must specify feature set"); System.exit(0);
      }
      optimizer = new DefaultCRF(crfModel, train_size, batch_update_size, converge_pass, init_gain, sigma, is_minimize_score);
      optimizer.initModel(-1, 1);//TODO optimal initial parameters
      hgdl = new HGDiscriminativeLearner(optimizer, new HashSet<String>(crfModel.keySet()));
      hgdl.reset_baseline_feat();//add and init baseline feature
      System.out.println("size3: " + optimizer.getSumModel().size());
    }else{//perceptron
      HashMap perceptron_sum_model = new HashMap();

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Examples of joshua.discriminative.training.learning_algorithm.GradientBasedOptimizer.initModel()

      else{
        System.out.println("In crf, must specify feature set"); 
        System.exit(0);
      }
      optimizer = new DefaultCRF(crfModel, trainSize, batchUpdateSize, convergePass, initGain, sigma, isMinimizeScore);
      optimizer.initModel(0, 0);//TODO optimal initial parameters
      ndl = new NBESTDiscriminativeLearner(optimizer, new HashSet<String>(crfModel.keySet()));
      ndl.resetBaselineFeat();//add and init baseline feature
    }else{//perceptron
      HashMap<String,Double> perceptronSumModel = new HashMap<String,Double>();
      HashMap<String,Double> perceptronAvgModel = new HashMap<String,Double>();

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Examples of org.gephi.visualization.api.initializer.Modeler.initModel()

        for (Node node : nodeIterable) {


            Model obj = node.getNodeData().getModel();
            if (obj == null) {
                //Model is null, ADD
                obj = nodeInit.initModel(node.getNodeData());
                engine.addObject(AbstractEngine.CLASS_NODE, (ModelImpl) obj);
            } else if (!obj.isValid()) {
                engine.addObject(AbstractEngine.CLASS_NODE, (ModelImpl) obj);
            }
            obj.setCacheMarker(cacheMarker);

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Examples of org.gephi.visualization.api.initializer.Modeler.initModel()

            if (obj == null) {
                //Model is null, ADD
                obj = (Edge2dModel) edgeInit.initModel(edge.getEdgeData());
                engine.addObject(AbstractEngine.CLASS_EDGE, obj);
                if (!undirected && vizConfig.isShowArrows() && !edge.isSelfLoop()) {
                    Arrow2dModel arrowObj = (Arrow2dModel) arrowInit.initModel(edge.getEdgeData());
                    engine.addObject(AbstractEngine.CLASS_ARROW, arrowObj);
                    arrowObj.setCacheMarker(cacheMarker);
                    arrowObj.setWeight(weight);
                    obj.setArrow(arrowObj);
                }

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Examples of org.gephi.visualization.api.initializer.Modeler.initModel()

            if (obj == null) {
                //Model is null, ADD
                obj = (Edge2dModel) edgeInit.initModel(edge.getEdgeData());
                engine.addObject(AbstractEngine.CLASS_EDGE, obj);
                if (!undirected && vizConfig.isShowArrows() && !edge.isSelfLoop()) {
                    Arrow2dModel arrowObj = (Arrow2dModel) arrowInit.initModel(edge.getEdgeData());
                    engine.addObject(AbstractEngine.CLASS_ARROW, arrowObj);
                    arrowObj.setCacheMarker(cacheMarker);
                    arrowObj.setWeight(weight);
                    obj.setArrow(arrowObj);
                }

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Examples of org.gephi.visualization.api.initializer.Modeler.initModel()

                        hulls.add((ModelImpl) hullModel);
                    } else {
                        ConvexHull ch = new ConvexHull();
                        ch.setMetaNode(parent);
                        ch.addNode(n);
                        ModelImpl obj = potInit.initModel(ch);
                        group.getGroupData().setHullModel(obj);
                        obj.setCacheMarker(cacheMarker);
                        hulls.add(obj);
                    }
                }

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Examples of org.gephi.visualization.model.edge.EdgeModeler.initModel()

                int id = edge.getStoreId();
                if (id >= edges.length || edges[id] == null) {
                    growEdges(id);
                    NodeModel sourceModel = nodes[edge.getSource().getStoreId()];
                    NodeModel targetModel = nodes[edge.getTarget().getStoreId()];
                    EdgeModel model = edgeModeler.initModel(edge, sourceModel, targetModel);
                    sourceModel.addEdge(model);
                    targetModel.addEdge(model);
                    edges[id] = model;
                    addedEdges++;
                }

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Examples of org.gephi.visualization.model.node.NodeModeler.initModel()

            }
            for (Node node : graph.getNodes()) {
                int id = node.getStoreId();
                if (id >= nodes.length || nodes[id] == null) {
                    growNodes(id);
                    NodeModel model = nodeModeler.initModel(node);
                    octree.addNode(model);
                    nodes[id] = model;
                    addedNodes++;
                }
            }

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Examples of org.springframework.web.method.annotation.ModelFactory.initModel()

    ModelFactory modelFactory = getModelFactory(handlerMethod, binderFactory);
    ServletInvocableHandlerMethod requestMappingMethod = createRequestMappingMethod(handlerMethod, binderFactory);


    ModelAndViewContainer mavContainer = new ModelAndViewContainer();
    mavContainer.addAllAttributes(RequestContextUtils.getInputFlashMap(request));
    modelFactory.initModel(webRequest, mavContainer, requestMappingMethod);
    mavContainer.setIgnoreDefaultModelOnRedirect(this.ignoreDefaultModelOnRedirect);


    AsyncWebRequest asyncWebRequest = WebAsyncUtils.createAsyncWebRequest(request, response);
    asyncWebRequest.setTimeout(this.asyncRequestTimeout);

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Examples of org.springframework.web.method.annotation.ModelFactory.initModel()

    ModelFactory modelFactory = getModelFactory(handlerMethod, binderFactory);
    ServletInvocableHandlerMethod requestMappingMethod = createRequestMappingMethod(handlerMethod, binderFactory);


    ModelAndViewContainer mavContainer = new ModelAndViewContainer();
    mavContainer.addAllAttributes(RequestContextUtils.getInputFlashMap(request));
    modelFactory.initModel(webRequest, mavContainer, requestMappingMethod);
    mavContainer.setIgnoreDefaultModelOnRedirect(this.ignoreDefaultModelOnRedirect);


    requestMappingMethod.invokeAndHandle(webRequest, mavContainer);
    modelFactory.updateModel(webRequest, mavContainer);

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