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Example 1 with DataModel

use of edu.cmu.tetrad.data.DataModel in project tetrad by cmu-phil.

the class MimbuildEditor method getIndTestParamBox.

/**
 * Factory to return the correct param editor for independence test params.
 * This will go in a little box in the search editor.
 */
private JComponent getIndTestParamBox(Parameters params) {
    if (params == null) {
        throw new NullPointerException();
    }
    if (params instanceof Parameters) {
        MimRunner runner = getMimRunner();
        params.set("varNames", runner.getParams().get("varNames", null));
        DataModel dataModel = runner.getData();
        if (dataModel instanceof DataSet) {
            DataSet data = (DataSet) runner.getData();
            boolean discrete = data.isDiscrete();
            return new BuildPureClustersIndTestParamsEditor2(params, discrete);
        } else if (dataModel instanceof ICovarianceMatrix) {
            return new BuildPureClustersIndTestParamsEditor2(params, false);
        }
    }
    if (params instanceof Parameters) {
        MimRunner runner = getMimRunner();
        params.set("varNames", runner.getParams().get("varNames", null));
        boolean discreteData = false;
        if (runner.getData() instanceof DataSet) {
            discreteData = ((DataSet) runner.getData()).isDiscrete();
        }
        return new PurifyIndTestParamsEditor(params, discreteData);
    }
    if (params instanceof Parameters) {
        MimRunner runner = getMimRunner();
        params.set("varNames", runner.getParams().get("varNames", null));
        return new MimBuildIndTestParamsEditor(params);
    }
    throw new IllegalArgumentException("Unrecognized Parameters: " + params.getClass());
}
Also used : Parameters(edu.cmu.tetrad.util.Parameters) DataSet(edu.cmu.tetrad.data.DataSet) DataModel(edu.cmu.tetrad.data.DataModel) ICovarianceMatrix(edu.cmu.tetrad.data.ICovarianceMatrix) MimRunner(edu.cmu.tetradapp.model.MimRunner)

Example 2 with DataModel

use of edu.cmu.tetrad.data.DataModel in project tetrad by cmu-phil.

the class LofsSearchEditorNew method addSpecialMenus.

protected void addSpecialMenus(JMenuBar menuBar) {
    if (!(getAlgorithmRunner() instanceof IGesRunner)) {
        JMenu test = new JMenu("Independence");
        menuBar.add(test);
        IndTestMenuItems.addIndependenceTestChoices(test, this);
    // test.addSeparator();
    // 
    // AlgorithmRunner algorithmRunner = getAlgorithmRunner();
    // if (algorithmRunner instanceof IndTestProducer) {
    // IndTestProducer p = (IndTestProducer) algorithmRunner;
    // IndependenceFactsAction action =
    // new IndependenceFactsAction(this, p, "Independence Facts...");
    // test.add(action);
    // }
    }
    JMenu graph = new JMenu("Graph");
    JMenuItem showDags = new JMenuItem("Show DAGs in forbid_latent_common_causes");
    // JMenuItem meekOrient = new JMenuItem("Meek Orientation");
    JMenuItem dagInPattern = new JMenuItem("Choose DAG in forbid_latent_common_causes");
    JMenuItem gesOrient = new JMenuItem("Global Score-based Reorientation");
    JMenuItem nextGraph = new JMenuItem("Next Graph");
    JMenuItem previousGraph = new JMenuItem("Previous Graph");
    graph.add(new GraphPropertiesAction(getWorkbench()));
    graph.add(new PathsAction(getWorkbench()));
    graph.add(new TriplesAction(getWorkbench().getGraph(), getAlgorithmRunner()));
    graph.addSeparator();
    // graph.add(meekOrient);
    graph.add(dagInPattern);
    graph.add(gesOrient);
    graph.addSeparator();
    graph.add(previousGraph);
    graph.add(nextGraph);
    graph.addSeparator();
    graph.add(showDags);
    graph.addSeparator();
    graph.add(new JMenuItem(new SelectBidirectedAction(getWorkbench())));
    graph.add(new JMenuItem(new SelectUndirectedAction(getWorkbench())));
    menuBar.add(graph);
    showDags.addActionListener(new ActionListener() {

        public void actionPerformed(ActionEvent e) {
            Window owner = (Window) getTopLevelAncestor();
            new WatchedProcess(owner) {

                public void watch() {
                    // Needs to be a pattern search; this isn't checked
                    // before running the algorithm because of allowable
                    // "slop"--e.g. bidirected edges.
                    AlgorithmRunner runner = getAlgorithmRunner();
                    Graph graph = runner.getGraph();
                    if (graph == null) {
                        JOptionPane.showMessageDialog(JOptionUtils.centeringComp(), "No result gaph.");
                        return;
                    }
                    PatternDisplay display = new PatternDisplay(graph);
                    GraphWorkbench workbench = getWorkbench();
                    EditorWindow editorWindow = new EditorWindow(display, "Independence Facts", "Close", false, workbench);
                    DesktopController.getInstance().addEditorWindow(editorWindow, JLayeredPane.PALETTE_LAYER);
                    editorWindow.setVisible(true);
                }
            };
        }
    });
    // meekOrient.addActionListener(new ActionListener() {
    // public void actionPerformed(ActionEvent e) {
    // ImpliedOrientation rules = getAlgorithmRunner().getMeekRules();
    // rules.setKnowledge((IKnowledge) getAlgorithmRunner().getParams().get("knowledge", new Knowledge2()));
    // rules.orientImplied(getGraph());
    // getGraphHistory().add(getGraph());
    // getWorkbench().setGraph(getGraph());
    // firePropertyChange("modelChanged", null, null);
    // }
    // });
    dagInPattern.addActionListener(new ActionListener() {

        public void actionPerformed(ActionEvent e) {
            Graph graph = new EdgeListGraph(getGraph());
            // Removing bidirected edges from the pattern before selecting a DAG.                                   4
            for (Edge edge : graph.getEdges()) {
                if (Edges.isBidirectedEdge(edge)) {
                    graph.removeEdge(edge);
                }
            }
            PatternToDag search = new PatternToDag(new EdgeListGraphSingleConnections(graph));
            Graph dag = search.patternToDagMeek();
            getGraphHistory().add(dag);
            getWorkbench().setGraph(dag);
            ((AbstractAlgorithmRunner) getAlgorithmRunner()).setResultGraph(dag);
            firePropertyChange("modelChanged", null, null);
        }
    });
    gesOrient.addActionListener(new ActionListener() {

        public void actionPerformed(ActionEvent e) {
            DataModel dataModel = getAlgorithmRunner().getDataModel();
            final Graph graph = SearchGraphUtils.reorient(getGraph(), dataModel, getKnowledge());
            getGraphHistory().add(graph);
            getWorkbench().setGraph(graph);
            firePropertyChange("modelChanged", null, null);
        }
    });
    nextGraph.addActionListener(new ActionListener() {

        public void actionPerformed(ActionEvent e) {
            Graph next = getGraphHistory().next();
            getWorkbench().setGraph(next);
            ((AbstractAlgorithmRunner) getAlgorithmRunner()).setResultGraph(next);
            firePropertyChange("modelChanged", null, null);
        }
    });
    previousGraph.addActionListener(new ActionListener() {

        public void actionPerformed(ActionEvent e) {
            Graph previous = getGraphHistory().previous();
            getWorkbench().setGraph(previous);
            ((AbstractAlgorithmRunner) getAlgorithmRunner()).setResultGraph(previous);
            firePropertyChange("modelChanged", null, null);
        }
    });
    menuBar.add(new LayoutMenu(this));
}
Also used : LayoutMenu(edu.cmu.tetradapp.workbench.LayoutMenu) ActionEvent(java.awt.event.ActionEvent) WatchedProcess(edu.cmu.tetradapp.util.WatchedProcess) ActionListener(java.awt.event.ActionListener) GraphWorkbench(edu.cmu.tetradapp.workbench.GraphWorkbench) DataModel(edu.cmu.tetrad.data.DataModel)

Example 3 with DataModel

use of edu.cmu.tetrad.data.DataModel in project tetrad by cmu-phil.

the class RandomSamplerAction method actionPerformed.

/**
 * Performs the action of loading a session from a file.
 */
public void actionPerformed(ActionEvent e) {
    DataModel dataModel = getDataEditor().getSelectedDataModel();
    if (dataModel instanceof DataSet) {
        DataSet dataSet = (DataSet) dataModel;
        if (dataSet.getNumRows() == 0) {
            JOptionPane.showMessageDialog(JOptionUtils.centeringComp(), "Data set is empty.");
            return;
        }
        JComponent editor = editor();
        int selection = JOptionPane.showOptionDialog(JOptionUtils.centeringComp(), editor, "Sample Size", JOptionPane.YES_NO_OPTION, JOptionPane.QUESTION_MESSAGE, null, new String[] { "Done", "Cancel" }, "Done");
        if (selection != 0) {
            return;
        }
        try {
            DataSet newDataSet = RandomSampler.sample(dataSet, getSampleSize());
            DataModelList list = new DataModelList();
            list.add(newDataSet);
            getDataEditor().reset(list);
            getDataEditor().selectFirstTab();
        } catch (Exception e1) {
            String s = e1.getMessage();
            if (s == null || "".equals(s)) {
                s = "Could not construct random sample.";
            }
            JOptionPane.showMessageDialog(JOptionUtils.centeringComp(), s);
        }
    } else {
        JOptionPane.showMessageDialog(JOptionUtils.centeringComp(), "Must be a tabular data set.");
    }
}
Also used : DataSet(edu.cmu.tetrad.data.DataSet) DataModelList(edu.cmu.tetrad.data.DataModelList) DataModel(edu.cmu.tetrad.data.DataModel)

Example 4 with DataModel

use of edu.cmu.tetrad.data.DataModel in project tetrad by cmu-phil.

the class RegressionParamsPanel method getVarsFromData.

private List<String> getVarsFromData(Object[] parentModels) {
    DataModel dataModel = null;
    for (Object parentModel : parentModels) {
        if (parentModel instanceof DataWrapper) {
            DataWrapper dataWrapper = (DataWrapper) parentModel;
            dataModel = dataWrapper.getSelectedDataModel();
        }
    }
    if (dataModel == null) {
        return null;
    } else {
        return new ArrayList<>(dataModel.getVariableNames());
    }
}
Also used : DataWrapper(edu.cmu.tetradapp.model.DataWrapper) DataModel(edu.cmu.tetrad.data.DataModel) ArrayList(java.util.ArrayList)

Example 5 with DataModel

use of edu.cmu.tetrad.data.DataModel in project tetrad by cmu-phil.

the class PurifyParamsEditor method setVarNames.

private boolean setVarNames(Object[] parentModels, Parameters params) {
    DataModel dataModel = null;
    for (Object parentModel : parentModels) {
        if (parentModel instanceof DataWrapper) {
            DataWrapper dataWrapper = (DataWrapper) parentModel;
            dataModel = dataWrapper.getSelectedDataModel();
        }
    }
    boolean discreteModel;
    if (dataModel instanceof ICovarianceMatrix) {
        discreteModel = false;
    } else {
        DataSet dataSet = (DataSet) dataModel;
        assert dataSet != null;
        discreteModel = dataSet.isDiscrete();
    // try {
    // new DataSet((DataSet) dataModel);
    // discreteModel = true;
    // }
    // catch (IllegalArgumentException e) {
    // discreteModel = false;
    // }
    }
    getParams().set("varNames", params.get("varNames", null));
    return discreteModel;
}
Also used : DataWrapper(edu.cmu.tetradapp.model.DataWrapper) DataSet(edu.cmu.tetrad.data.DataSet) DataModel(edu.cmu.tetrad.data.DataModel) ICovarianceMatrix(edu.cmu.tetrad.data.ICovarianceMatrix)

Aggregations

DataModel (edu.cmu.tetrad.data.DataModel)39 DataSet (edu.cmu.tetrad.data.DataSet)22 ArrayList (java.util.ArrayList)15 DataWrapper (edu.cmu.tetradapp.model.DataWrapper)13 Graph (edu.cmu.tetrad.graph.Graph)9 ICovarianceMatrix (edu.cmu.tetrad.data.ICovarianceMatrix)8 Parameters (edu.cmu.tetrad.util.Parameters)8 DataModelList (edu.cmu.tetrad.data.DataModelList)7 Node (edu.cmu.tetrad.graph.Node)7 ActionEvent (java.awt.event.ActionEvent)7 ActionListener (java.awt.event.ActionListener)7 List (java.util.List)5 LayoutMenu (edu.cmu.tetradapp.workbench.LayoutMenu)4 DoubleTextField (edu.cmu.tetradapp.util.DoubleTextField)3 WatchedProcess (edu.cmu.tetradapp.util.WatchedProcess)3 GraphWorkbench (edu.cmu.tetradapp.workbench.GraphWorkbench)3 IOException (java.io.IOException)3 Algorithm (edu.cmu.tetrad.algcomparison.algorithm.Algorithm)2 MultiDataSetAlgorithm (edu.cmu.tetrad.algcomparison.algorithm.MultiDataSetAlgorithm)2 BdeuScore (edu.cmu.tetrad.algcomparison.score.BdeuScore)2