weka.gui.visualize.PlotData2D Java Examples

The following examples show how to use weka.gui.visualize.PlotData2D. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example #1
Source File: MicroCurve.java    From meka with GNU General Public License v3.0 6 votes vote down vote up 
/**
 * Creates a panel displaying the data.
 *
 * @param data          the plot data
 * @return              the panel
 * @throws Exception    if plot generation fails
 */
protected static VisualizePanel createPanel(Instances data) throws Exception {
  VisualizePanel result = new ThresholdVisualizePanel();
  PlotData2D plot = new PlotData2D(data);
  plot.setPlotName("Micro-averaged Performance");
  plot.m_displayAllPoints = true;
  boolean[] connectPoints = new boolean [data.numInstances()];
  for (int cp = 1; cp < connectPoints.length; cp++)
    connectPoints[cp] = true;
  plot.setConnectPoints(connectPoints);
  result.addPlot(plot);
  if (data.attribute(SAMPLES) != null)
    result.setXIndex(data.attribute(SAMPLES).index());
  if (data.attribute(ACCURACY) != null)
    result.setYIndex(data.attribute(ACCURACY).index());
  return result;
}
Example #2
Source File: ROC.java    From meka with GNU General Public License v3.0 6 votes vote down vote up 
/**
 * Creates a panel displaying the data.
 *
 * @param data          the plot data
 * @param title	  the title
 * @return              the panel
 * @throws Exception    if plot generation fails
 */
protected static ThresholdVisualizePanel createPanel(Instances data, String title) throws Exception {
  ThresholdVisualizePanel result = new ThresholdVisualizePanel();
  PlotData2D plot = new PlotData2D(data);
  plot.setPlotName(title);
  plot.m_displayAllPoints = true;
  boolean[] connectPoints = new boolean [data.numInstances()];
  for (int cp = 1; cp < connectPoints.length; cp++)
    connectPoints[cp] = true;
  plot.setConnectPoints(connectPoints);
  result.addPlot(plot);
  result.setROCString("AUC: " + Utils.doubleToString(ThresholdCurve.getROCArea(data), 3));
  result.setUpComboBoxes(result.getInstances());
  if (data.attribute(ThresholdCurve.FP_RATE_NAME) != null)
    result.setXIndex(data.attribute(ThresholdCurve.FP_RATE_NAME).index());
  if (data.attribute(ThresholdCurve.TP_RATE_NAME) != null)
    result.setYIndex(data.attribute(ThresholdCurve.TP_RATE_NAME).index());
  return result;
}
Example #3
Source File: MacroCurve.java    From meka with GNU General Public License v3.0 6 votes vote down vote up 
/**
 * Creates a panel displaying the data.
 *
 * @param data          the plot data
 * @return              the panel
 * @throws Exception    if plot generation fails
 */
protected static VisualizePanel createPanel(Instances data) throws Exception {
  VisualizePanel result = new ThresholdVisualizePanel();
  PlotData2D plot = new PlotData2D(data);
  plot.setPlotName("Macro-averaged Performance");
  plot.m_displayAllPoints = true;
  boolean[] connectPoints = new boolean [data.numInstances()];
  for (int cp = 1; cp < connectPoints.length; cp++)
    connectPoints[cp] = true;
  plot.setConnectPoints(connectPoints);
  result.addPlot(plot);
  if (data.attribute(SAMPLES) != null)
    result.setXIndex(data.attribute(SAMPLES).index());
  if (data.attribute(ACCURACY) != null)
    result.setYIndex(data.attribute(ACCURACY).index());
  return result;
}
Example #4
Source File: PrecisionRecall.java    From meka with GNU General Public License v3.0 6 votes vote down vote up 
/**
 * Creates a panel displaying the data.
 *
 * @param data          the plot data
 * @param title	  the title
 * @return              the panel
 * @throws Exception    if plot generation fails
 */
protected static ThresholdVisualizePanel createPanel(Instances data, String title) throws Exception {
  ThresholdVisualizePanel result = new ThresholdVisualizePanel();
  PlotData2D plot = new PlotData2D(data);
  plot.setPlotName(title);
  plot.m_displayAllPoints = true;
  boolean[] connectPoints = new boolean [data.numInstances()];
  for (int cp = 1; cp < connectPoints.length; cp++)
    connectPoints[cp] = true;
  plot.setConnectPoints(connectPoints);
  result.addPlot(plot);
  result.setROCString("PRC area: " + Utils.doubleToString(ThresholdCurve.getPRCArea(data), 3));
  result.setUpComboBoxes(result.getInstances());
  if (data.attribute(ThresholdCurve.RECALL_NAME) != null)
    result.setXIndex(data.attribute(ThresholdCurve.RECALL_NAME).index());
  if (data.attribute(ThresholdCurve.PRECISION_NAME) != null)
    result.setYIndex(data.attribute(ThresholdCurve.PRECISION_NAME).index());
  return result;
}
Example #5
Source File: ShowMacroCurve.java    From meka with GNU General Public License v3.0 6 votes vote down vote up 
/**
 * Creates a panel displaying the data.
 *
 * @param data          the plot data
 * @return              the panel
 * @throws Exception    if plot generation fails
 */
protected VisualizePanel createPanel(Instances data) throws Exception {
	VisualizePanel result = new ThresholdVisualizePanel();
	PlotData2D plot = new PlotData2D(data);
	plot.setPlotName("Macro-averaged Performance");
	plot.m_displayAllPoints = true;
	boolean[] connectPoints = new boolean [data.numInstances()];
	for (int cp = 1; cp < connectPoints.length; cp++)
		connectPoints[cp] = true;
	plot.setConnectPoints(connectPoints);
	result.addPlot(plot);
	if (data.attribute(SAMPLES) != null)
		result.setXIndex(data.attribute(SAMPLES).index());
	if (data.attribute(ACCURACY) != null)
		result.setYIndex(data.attribute(ACCURACY).index());
	return result;
}
Example #6
Source File: IncrementalPerformance.java    From meka with GNU General Public License v3.0 6 votes vote down vote up 
/**
 * Creates a panel displaying the data.
 *
 * @param data          the plot data
 * @return              the panel
 * @throws Exception    if plot generation fails
 */
protected VisualizePanel createPanel(Instances data) throws Exception {
	VisualizePanel result = new ThresholdVisualizePanel();
	PlotData2D plot = new PlotData2D(data);
	plot.setPlotName("Incremental performance");
	plot.m_displayAllPoints = true;
	boolean[] connectPoints = new boolean [data.numInstances()];
	for (int cp = 1; cp < connectPoints.length; cp++)
		connectPoints[cp] = true;
	plot.setConnectPoints(connectPoints);
	result.addPlot(plot);
	if (data.attribute(SAMPLES) != null)
		result.setXIndex(data.attribute(SAMPLES).index());
	if (data.attribute(ACCURACY) != null)
		result.setYIndex(data.attribute(ACCURACY).index());
	return result;
}
Example #7
Source File: ShowMicroCurve.java    From meka with GNU General Public License v3.0 6 votes vote down vote up 
/**
 * Creates a panel displaying the data.
 *
 * @param data          the plot data
 * @return              the panel
 * @throws Exception    if plot generation fails
 */
protected VisualizePanel createPanel(Instances data) throws Exception {
	VisualizePanel result = new ThresholdVisualizePanel();
	PlotData2D plot = new PlotData2D(data);
	plot.setPlotName("Micro-averaged Performance");
	plot.m_displayAllPoints = true;
	boolean[] connectPoints = new boolean [data.numInstances()];
	for (int cp = 1; cp < connectPoints.length; cp++)
		connectPoints[cp] = true;
	plot.setConnectPoints(connectPoints);
	result.addPlot(plot);
	if (data.attribute(SAMPLES) != null)
		result.setXIndex(data.attribute(SAMPLES).index());
	if (data.attribute(ACCURACY) != null)
		result.setYIndex(data.attribute(ACCURACY).index());
	return result;
}
Example #8
Source File: AbstractShowThresholdCurve.java    From meka with GNU General Public License v3.0 5 votes vote down vote up 
/**
 * Creates a panel displaying the ROC data.
 *
 * @param data          the threshold curve data
 * @param title         the title of the plot
 * @return              the panel
 * @throws Exception    if plot generation fails
 */
protected ThresholdVisualizePanel createPanel(Instances data, String title) throws Exception {
	ThresholdVisualizePanel result = new ThresholdVisualizePanel();
	PlotData2D plot = new PlotData2D(data);
	plot.setPlotName(title);
	plot.m_displayAllPoints = true;
	boolean[] connectPoints = new boolean [data.numInstances()];
	for (int cp = 1; cp < connectPoints.length; cp++)
		connectPoints[cp] = true;
	plot.setConnectPoints(connectPoints);
	result.addPlot(plot);
	setComboBoxIndices(data, result);
	return result;
}