List of usage examples for weka.classifiers.evaluation CostCurve getCurve
public Instances getCurve(ArrayList<Prediction> predictions, int classIndex)
From source file:adams.data.conversion.WekaEvaluationToCostCurve.java
License:Open Source License
/** * Performs the actual conversion.// ww w . j a v a 2 s. com * * @return the converted data * @throws Exception if something goes wrong with the conversion */ @Override protected Object doConvert() throws Exception { Evaluation eval; CostCurve curve; Instances cost; eval = (Evaluation) m_Input; m_ClassLabelIndex.setMax(eval.getHeader().classAttribute().numValues()); curve = new CostCurve(); cost = curve.getCurve(eval.predictions(), m_ClassLabelIndex.getIntIndex()); return cost; }
From source file:adams.flow.sink.WekaCostCurve.java
License:Open Source License
/** * Plots the token (the panel and dialog have already been created at * this stage)./* ww w . j a v a 2 s. c o m*/ * * @param token the token to display */ @Override protected void display(Token token) { weka.classifiers.evaluation.CostCurve curve; Evaluation eval; PlotData2D plot; boolean[] connectPoints; int cp; Instances data; int[] indices; try { if (token.getPayload() instanceof WekaEvaluationContainer) eval = (Evaluation) ((WekaEvaluationContainer) token.getPayload()) .getValue(WekaEvaluationContainer.VALUE_EVALUATION); else eval = (Evaluation) token.getPayload(); if (eval.predictions() == null) { getLogger().severe("No predictions available from Evaluation object!"); return; } m_ClassLabelRange.setData(eval.getHeader().classAttribute()); indices = m_ClassLabelRange.getIntIndices(); for (int index : indices) { curve = new weka.classifiers.evaluation.CostCurve(); data = curve.getCurve(eval.predictions(), index); plot = new PlotData2D(data); plot.setPlotName(eval.getHeader().classAttribute().value(index)); plot.m_displayAllPoints = true; connectPoints = new boolean[data.numInstances()]; for (cp = 1; cp < connectPoints.length; cp++) connectPoints[cp] = true; plot.setConnectPoints(connectPoints); m_VisualizePanel.addPlot(plot); } } catch (Exception e) { handleException("Failed to display token: " + token, e); } }
From source file:adams.flow.sink.WekaCostCurve.java
License:Open Source License
/** * Creates a new panel for the token.//from www.j a v a 2 s .c om * * @param token the token to display in a new panel, can be null * @return the generated panel */ public AbstractDisplayPanel createDisplayPanel(Token token) { AbstractDisplayPanel result; String name; if (token != null) name = "Cost curve (" + getEvaluation(token).getHeader().relationName() + ")"; else name = "Cost curve"; result = new AbstractComponentDisplayPanel(name) { private static final long serialVersionUID = -3513994354297811163L; protected VisualizePanel m_VisualizePanel; @Override protected void initGUI() { super.initGUI(); setLayout(new BorderLayout()); m_VisualizePanel = new VisualizePanel(); add(m_VisualizePanel, BorderLayout.CENTER); } @Override public void display(Token token) { try { Evaluation eval = getEvaluation(token); m_ClassLabelRange.setMax(eval.getHeader().classAttribute().numValues()); int[] indices = m_ClassLabelRange.getIntIndices(); for (int index : indices) { weka.classifiers.evaluation.CostCurve curve = new weka.classifiers.evaluation.CostCurve(); Instances data = curve.getCurve(eval.predictions(), index); PlotData2D plot = new PlotData2D(data); plot.setPlotName(eval.getHeader().classAttribute().value(index)); plot.m_displayAllPoints = true; boolean[] connectPoints = new boolean[data.numInstances()]; for (int cp = 1; cp < connectPoints.length; cp++) connectPoints[cp] = true; plot.setConnectPoints(connectPoints); m_VisualizePanel.addPlot(plot); } } catch (Exception e) { getLogger().log(Level.SEVERE, "Failed to display token: " + token, e); } } @Override public JComponent supplyComponent() { return m_VisualizePanel; } @Override public void clearPanel() { m_VisualizePanel.removeAllPlots(); } public void cleanUp() { m_VisualizePanel.removeAllPlots(); } }; if (token != null) result.display(token); return result; }