List of usage examples for java.lang Double compare
public static int compare(double d1, double d2)
From source file:de.bund.bfr.knime.pmm.common.chart.Plotable.java
public double[][] getPoints(String paramX, String paramY, String unitX, String unitY, String transformX, String transformY, Map<String, Integer> choice) throws ConvertException { List<Double> xList = valueLists.get(paramX); List<Double> yList = valueLists.get(paramY); if (xList == null || yList == null) { return null; }// w w w. j a va 2 s. c o m List<Boolean> usedPoints = new ArrayList<>(Collections.nCopies(xList.size(), true)); if (type == BOTH_STRICT || type == DATASET_STRICT) { for (String arg : functionArguments.keySet()) { if (!arg.equals(paramX) && valueLists.containsKey(arg)) { Double fixedValue = functionArguments.get(arg).get(choice.get(arg)); List<Double> values = valueLists.get(arg); for (int i = 0; i < values.size(); i++) { if (!fixedValue.equals(values.get(i))) { usedPoints.set(i, false); } } } } if (!usedPoints.contains(true)) { return null; } } List<Point2D.Double> points = new ArrayList<>(xList.size()); for (int i = 0; i < xList.size(); i++) { Double x = xList.get(i); Double y = yList.get(i); if (x != null) { x = convertToUnit(paramX, x, unitX); x = transform(x, transformX); } if (y != null) { y = convertToUnit(paramY, y, unitY); y = transform(y, transformY); } if (usedPoints.get(i) && isValidValue(x) && isValidValue(y)) { points.add(new Point2D.Double(x, y)); } } Collections.sort(points, new Comparator<Point2D.Double>() { @Override public int compare(Point2D.Double p1, Point2D.Double p2) { return Double.compare(p1.x, p2.x); } }); double[][] pointsArray = new double[2][points.size()]; for (int i = 0; i < points.size(); i++) { pointsArray[0][i] = points.get(i).x; pointsArray[1][i] = points.get(i).y; } return pointsArray; }
From source file:ch.ralscha.extdirectspring.controller.RouterControllerFormLoadTest.java
private static void checkFormLoadResult(ExtDirectResponse resp, double back, int tid) { assertThat(resp.getAction()).isEqualTo("remoteProviderFormLoad"); assertThat(resp.getMethod()).isEqualTo("method1"); assertThat(resp.getTid()).isEqualTo(tid); assertThat(resp.getType()).isEqualTo("rpc"); assertThat(resp.getWhere()).isNull(); assertThat(resp.getMessage()).isNull(); assertThat(resp.getResult()).isNotNull(); ExtDirectFormLoadResult wrapper = ControllerUtil.convertValue(resp.getResult(), ExtDirectFormLoadResult.class); assertThat(wrapper.isSuccess()).isTrue(); assertThat(wrapper.getData()).isNotNull(); FormInfo info = ControllerUtil.convertValue(wrapper.getData(), FormInfo.class); assertThat(Double.compare(back, info.getBack()) == 0).isTrue(); assertThat(info.isAdmin()).isEqualTo(true); assertThat(info.getAge()).isEqualTo(31); assertThat(info.getName()).isEqualTo("Bob"); assertThat(info.getSalary()).isEqualTo(new BigDecimal("10000.55")); assertThat(info.getBirthday()).isEqualTo(new GregorianCalendar(1980, Calendar.JANUARY, 15).getTime()); }
From source file:azkaban.project.FlowLoaderUtils.java
/** * Check if azkaban flow version is 2.0. * * @param azkabanFlowVersion the azkaban flow version * @return the boolean/*from w w w . ja v a 2s .c o m*/ */ public static boolean isAzkabanFlowVersion20(final double azkabanFlowVersion) { return Double.compare(azkabanFlowVersion, Constants.AZKABAN_FLOW_VERSION_2_0) == 0; }
From source file:org.sleuthkit.autopsy.timeline.ui.AbstractVisualizationPane.java
/** * iterate through the list of tick-marks building a two level structure of * replacement tick marl labels. (Visually) upper level has most * detailed/highest frequency part of date/time. Second level has rest of * date/time grouped by unchanging part. eg: * * * october-30_october-31_september-01_september-02_september-03 * * becomes// www .j a v a 2 s . c o m * * _________30_________31___________01___________02___________03 * * _________october___________|_____________september___________ * * * NOTE: This method should only be invoked on the JFX thread */ public synchronized void layoutDateLabels() { //clear old labels branchPane.getChildren().clear(); leafPane.getChildren().clear(); //since the tickmarks aren't necessarily in value/position order, //make a clone of the list sorted by position along axis ObservableList<Axis.TickMark<X>> tickMarks = FXCollections.observableArrayList(getXAxis().getTickMarks()); tickMarks.sort( (Axis.TickMark<X> t, Axis.TickMark<X> t1) -> Double.compare(t.getPosition(), t1.getPosition())); if (tickMarks.isEmpty() == false) { //get the spacing between ticks in the underlying axis double spacing = getTickSpacing(); //initialize values from first tick TwoPartDateTime dateTime = new TwoPartDateTime(getTickMarkLabel(tickMarks.get(0).getValue())); String lastSeenBranchLabel = dateTime.branch; //cumulative width of the current branch label //x-positions (pixels) of the current branch and leaf labels double leafLabelX = 0; if (dateTime.branch.isEmpty()) { //if there is only one part to the date (ie only year), just add a label for each tick for (Axis.TickMark<X> t : tickMarks) { assignLeafLabel(new TwoPartDateTime(getTickMarkLabel(t.getValue())).leaf, spacing, leafLabelX, isTickBold(t.getValue())); leafLabelX += spacing; //increment x } } else { //there are two parts so ... //initialize additional state double branchLabelX = 0; double branchLabelWidth = 0; for (Axis.TickMark<X> t : tickMarks) { //for each tick //split the label into a TwoPartDateTime dateTime = new TwoPartDateTime(getTickMarkLabel(t.getValue())); //if we are still on the same branch if (lastSeenBranchLabel.equals(dateTime.branch)) { //increment branch width branchLabelWidth += spacing; } else {// we are on to a new branch, so ... assignBranchLabel(lastSeenBranchLabel, branchLabelWidth, branchLabelX); //and then update label, x-pos, and width lastSeenBranchLabel = dateTime.branch; branchLabelX += branchLabelWidth; branchLabelWidth = spacing; } //add the label for the leaf (highest frequency part) assignLeafLabel(dateTime.leaf, spacing, leafLabelX, isTickBold(t.getValue())); //increment leaf position leafLabelX += spacing; } //we have reached end so add branch label for current branch assignBranchLabel(lastSeenBranchLabel, branchLabelWidth, branchLabelX); } } //request layout since we have modified scene graph structure requestParentLayout(); }
From source file:de.tudarmstadt.ukp.dkpro.core.mallet.lda.MalletLdaTopicModelInferencer.java
/** * Assign topics according to the following formula: * <p>/*w w w . j a v a2s .c o m*/ * Topic proportion must be at least the maximum topic's proportion divided by the maximum * number of topics to be assigned. In addition, the topic proportion must not lie under the * minTopicProb. If more topics comply with these criteria, only retain the n * (maxTopicAssignments) largest values. * * @param topicDistribution a double array containing the document's topic proportions * @return an array of integers pointing to the topics assigned to the document * @deprecated this method should be removed at some point because assignment / topic tagging * should be done in a dedicated step (module). */ // TODO: should return a boolean[] of the same size as topicDistribution // TODO: should probably be moved to a dedicated module because assignments (topic tagging) // should not be done at inference level @Deprecated private int[] assignTopics(final double[] topicDistribution) { /* * threshold is the largest value divided by the maximum number of topics or the fixed * number set as minTopicProb parameter. */ double threshold = Math .max(Collections.max(Arrays.asList(ArrayUtils.toObject(topicDistribution))).doubleValue() / maxTopicAssignments, minTopicProb); /* * assign indexes for values that are above threshold */ List<Integer> indexes = new ArrayList<>(topicDistribution.length); for (int i = 0; i < topicDistribution.length; i++) { if (topicDistribution[i] >= threshold) { indexes.add(i); } } /* * Reduce assignments to maximum number of allowed assignments. */ if (indexes.size() > maxTopicAssignments) { /* sort index list by corresponding values */ Collections.sort(indexes, (aO1, aO2) -> Double.compare(topicDistribution[aO1], topicDistribution[aO2])); while (indexes.size() > maxTopicAssignments) { indexes.remove(0); } } return ArrayUtils.toPrimitive(indexes.toArray(new Integer[indexes.size()])); }
From source file:us.levk.math.linear.HugeRealMatrix.java
@Override public RealMatrix copy() { HugeRealMatrix result = createMatrix(rowDimension, columnDimension); for (int row = rowDimension; --row >= 0;) for (int column = columnDimension; --column >= 0;) { double value = getEntry(row, column); if (Double.compare(value, 0.0) != 0) result.setEntry(row, column, value); }/*from w ww . ja va 2 s .co m*/ return result; }
From source file:org.phenotips.remote.common.internal.api.DefaultPatientToJSONConverter.java
private static JSONArray genes(Patient patient, int includedTopGenes, Logger logger) { PatientGenotype genotype = new PatientGenotype(patient); JSONArray genes = new JSONArray(); try {/*from w ww . j av a2 s . c om*/ Collection<String> candidateGeneNames; //Collection<String> candidateGeneNames = getPatientCandidateGeneNames(patient); if (includedTopGenes <= 0) { candidateGeneNames = genotype.getCandidateGenes(); } else { final Map<String, Double> genesWithScore = new HashMap<String, Double>(); Collection<String> allGenes = genotype.getGenes(); for (String gene : allGenes) { genesWithScore.put(gene, genotype.getGeneScore(gene)); } Set<String> set = genesWithScore.keySet(); List<String> keys = new ArrayList<String>(set); Collections.sort(keys, new Comparator<String>() { public int compare(String s1, String s2) { // Sort by score, descending return Double.compare(genesWithScore.get(s2), genesWithScore.get(s1)); } }); List<String> topGenes = keys.subList(0, Math.min(keys.size(), includedTopGenes)); candidateGeneNames = new HashSet<String>(); for (String topGene : topGenes) { candidateGeneNames.add(topGene); } } for (String geneName : candidateGeneNames) { JSONObject nextGene = new JSONObject(); nextGene.put(ApiConfiguration.JSON_GENES_GENENAME, geneName); nextGene.put(ApiConfiguration.JSON_GENES_ASSEMBLY, "GRCh37"); // TODO: pull from candidate genes/patient/vcf? genes.add(nextGene); } } catch (Exception ex) { logger.error("Error getting candidate genes for patient [{}]: [{}]", patient.getId(), ex); return new JSONArray(); } return genes; }
From source file:org.earthtime.UPb_Redux.dateInterpretation.WeightedMeanGraphPanel.java
/** * * @param g2d//from w w w . ja v a2 s . com */ public void paint(Graphics2D g2d) { // setup painting parameters String fractionSortOrder = "name"; //random, weight, date if (getWeightedMeanOptions().containsKey("fractionSortOrder")) { fractionSortOrder = getWeightedMeanOptions().get("fractionSortOrder"); } double rangeX = (getMaxX_Display() - getMinX_Display()); double rangeY = (getMaxY_Display() - getMinY_Display()); g2d.setClip(getLeftMargin(), getTopMargin(), getGraphWidth(), getGraphHeight()); RenderingHints rh = g2d.getRenderingHints(); rh.put(RenderingHints.KEY_ANTIALIASING, RenderingHints.VALUE_ANTIALIAS_ON); rh.put(RenderingHints.KEY_RENDERING, RenderingHints.VALUE_RENDER_QUALITY); g2d.setRenderingHints(rh); // walk the sampleDateInterpretations and produce graphs g2d.setPaint(Color.BLACK); g2d.setStroke(new BasicStroke(2.0f)); g2d.setFont(new Font("SansSerif", Font.BOLD, 10)); double barWidth = 15.0; double barGap = 10.0; double startSamX = 10.0; double saveStartSamX = 0.0; double samSpace = 3.0; for (int i = 0; i < selectedSampleDateModels.length; i++) { for (int j = 1; j < 9; j++) { if (selectedSampleDateModels[i][j] instanceof SampleDateModel) { final SampleDateModel SAM = ((SampleDateModel) selectedSampleDateModels[i][j]); double wMean = SAM.getValue().movePointLeft(6).doubleValue(); double wMeanOneSigma = SAM.getOneSigmaAbs().movePointLeft(6).doubleValue(); Path2D mean = new Path2D.Double(Path2D.WIND_NON_ZERO); // july 2008 // modified to show de-selected fractions as gray // this means a new special list of fractionIDs is created fromall non-rejected fractions // and each instance is tested for being included // should eventually refactor Vector<String> allFIDs = new Vector<String>(); for (String f : ((UPbReduxAliquot) SAM.getAliquot()).getAliquotFractionIDs()) { // test added for Sample-based wm if (SAM.fractionDateIsPositive(// ((UPbReduxAliquot) SAM.getAliquot()).getAliquotFractionByName(f))) { allFIDs.add(f); } } final int iFinal = i; if (fractionSortOrder.equalsIgnoreCase("weight")) { Collections.sort(allFIDs, new Comparator<String>() { public int compare(String fID1, String fID2) { double invertOneSigmaF1 = // 1.0 // / ((UPbReduxAliquot) selectedSampleDateModels[iFinal][0])// .getAliquotFractionByName(fID1)// .getRadiogenicIsotopeDateByName(SAM.getDateName())// .getOneSigmaAbs().movePointLeft(6).doubleValue(); double invertOneSigmaF2 = // 1.0 // / ((UPbReduxAliquot) selectedSampleDateModels[iFinal][0])// .getAliquotFractionByName(fID2)// .getRadiogenicIsotopeDateByName(SAM.getDateName())// .getOneSigmaAbs().movePointLeft(6).doubleValue(); return Double.compare(invertOneSigmaF2, invertOneSigmaF1); } }); } else if (fractionSortOrder.equalsIgnoreCase("date")) { Collections.sort(allFIDs, new Comparator<String>() { public int compare(String fID1, String fID2) { double dateF1 = // ((UPbReduxAliquot) selectedSampleDateModels[iFinal][0])// .getAliquotFractionByName(fID1)// .getRadiogenicIsotopeDateByName(SAM.getDateName())// .getValue().doubleValue(); double dateF2 = // ((UPbReduxAliquot) selectedSampleDateModels[iFinal][0])// .getAliquotFractionByName(fID2)// .getRadiogenicIsotopeDateByName(SAM.getDateName())// .getValue().doubleValue(); return Double.compare(dateF1, dateF2); } }); } else if ( /* ! isInRandomMode() &&*/fractionSortOrder.equalsIgnoreCase("random")) { Collections.shuffle(allFIDs, new Random()); } else if (fractionSortOrder.equalsIgnoreCase("name")) { // default to alphabetic by name //Collections.sort(allFIDs); // april 2010 give same lexigraphic ordering that UPbFractions get Collections.sort(allFIDs, new IntuitiveStringComparator<String>()); } else { // do nothing } double actualWidthX = (allFIDs.size()) * (barWidth + barGap);//; + barGap; // plot 2-sigma of mean mean.moveTo((float) mapX(startSamX, getMinX_Display(), rangeX, graphWidth), (float) mapY(wMean + 2.0 * wMeanOneSigma, getMaxY_Display(), rangeY, graphHeight)); mean.lineTo((float) mapX(startSamX + actualWidthX, getMinX_Display(), rangeX, graphWidth), (float) mapY(wMean + 2.0 * wMeanOneSigma, getMaxY_Display(), rangeY, graphHeight)); mean.lineTo((float) mapX(startSamX + actualWidthX, getMinX_Display(), rangeX, graphWidth), (float) mapY(wMean - 2.0 * wMeanOneSigma, getMaxY_Display(), rangeY, graphHeight)); mean.lineTo((float) mapX(startSamX, getMinX_Display(), rangeX, graphWidth), (float) mapY(wMean - 2.0 * wMeanOneSigma, getMaxY_Display(), rangeY, graphHeight)); mean.closePath(); g2d.setColor(ReduxConstants.mySampleYellowColor); g2d.fill(mean); g2d.setPaint(Color.BLACK); // plot 1-sigma of mean mean.reset(); mean.moveTo((float) mapX(startSamX, getMinX_Display(), rangeX, graphWidth), (float) mapY(wMean + wMeanOneSigma, getMaxY_Display(), rangeY, graphHeight)); mean.lineTo((float) mapX(startSamX + actualWidthX, getMinX_Display(), rangeX, graphWidth), (float) mapY(wMean + wMeanOneSigma, getMaxY_Display(), rangeY, graphHeight)); mean.lineTo((float) mapX(startSamX + actualWidthX, getMinX_Display(), rangeX, graphWidth), (float) mapY(wMean - wMeanOneSigma, getMaxY_Display(), rangeY, graphHeight)); mean.lineTo((float) mapX(startSamX, getMinX_Display(), rangeX, graphWidth), (float) mapY(wMean - wMeanOneSigma, getMaxY_Display(), rangeY, graphHeight)); mean.closePath(); g2d.setColor(ReduxConstants.ColorOfRedux); g2d.fill(mean); g2d.setPaint(Color.BLACK); // plot mean mean.reset(); mean.moveTo((float) mapX(startSamX, getMinX_Display(), rangeX, graphWidth), (float) mapY(wMean, getMaxY_Display(), rangeY, graphHeight)); mean.lineTo((float) mapX(startSamX + actualWidthX, getMinX_Display(), rangeX, graphWidth), (float) mapY(wMean, getMaxY_Display(), rangeY, graphHeight)); g2d.setStroke(new BasicStroke(1.0f)); g2d.draw(mean); g2d.setStroke(new BasicStroke(2.0f)); saveStartSamX = startSamX; // plot fraction bars double minPoint = 5000.0; double maxWeight = 0.0; double totalWeight = 0.0; int barNum = 0; for (String fID : allFIDs) { // the dateModel has an associated aliquot, but in sample mode, it is a // standin aliquot for the sample. to get the aliquot number for // use in coloring fractions, we need to query the fraction itself String aliquotName = sample.getAliquotNameByFractionID(fID); Color includedFillColor = new Color(0, 0, 0); if (sample.getSampleDateInterpretationGUISettings().getAliquotOptions().get(aliquotName) .containsKey("includedFillColor")) { String[] temp = // sample.getSampleDateInterpretationGUISettings().getAliquotOptions() .get(aliquotName).get("includedFillColor").split(","); includedFillColor = buildRGBColor(temp); } Fraction f = ((UPbReduxAliquot) selectedSampleDateModels[i][0]) .getAliquotFractionByName(fID); double date = f.//((UPbReduxAliquot) selectedSampleDateModels[i][0]).getAliquotFractionByName(fID).// getRadiogenicIsotopeDateByName(SAM.getDateName()).getValue().movePointLeft(6) .doubleValue(); double twoSigma = f.//((UPbReduxAliquot) selectedSampleDateModels[i][0]).getAliquotFractionByName(fID).// getRadiogenicIsotopeDateByName(SAM.getDateName()).getTwoSigmaAbs().movePointLeft(6) .doubleValue(); if ((date - twoSigma) < minPoint) { minPoint = (date - twoSigma); } double invertedOneSigma = // 1.0 // / f.//((UPbReduxAliquot) selectedSampleDateModels[i][0]).getAliquotFractionByName(fID).// getRadiogenicIsotopeDateByName(SAM.getDateName()).getOneSigmaAbs() .movePointLeft(6).doubleValue(); if (invertedOneSigma > maxWeight) { maxWeight = invertedOneSigma; } Path2D bar = new Path2D.Double(Path2D.WIND_NON_ZERO); bar.moveTo( (float) mapX(saveStartSamX + ((barGap / 2.0) + barNum * (barWidth + barGap)), getMinX_Display(), rangeX, graphWidth), (float) mapY(date + twoSigma, getMaxY_Display(), rangeY, graphHeight)); bar.lineTo( (float) mapX( saveStartSamX + ((barGap / 2.0) + barNum * (barWidth + barGap)) + barWidth, getMinX_Display(), rangeX, graphWidth), (float) mapY(date + twoSigma, getMaxY_Display(), rangeY, graphHeight)); bar.lineTo( (float) mapX( saveStartSamX + ((barGap / 2.0) + barNum * (barWidth + barGap)) + barWidth, getMinX_Display(), rangeX, graphWidth), (float) mapY(date - twoSigma, getMaxY_Display(), rangeY, graphHeight)); bar.lineTo( (float) mapX(saveStartSamX + ((barGap / 2.0) + barNum * (barWidth + barGap)), getMinX_Display(), rangeX, graphWidth), (float) mapY(date - twoSigma, getMaxY_Display(), rangeY, graphHeight)); bar.closePath(); Composite originalComposite = g2d.getComposite(); if (SAM.getIncludedFractionIDsVector().contains(fID)) { g2d.setComposite(AlphaComposite.getInstance(AlphaComposite.SRC_OVER, 0.8f)); totalWeight += Math.pow(invertedOneSigma, 2.0); // april 2014 experiment if (f.getRgbColor() != 0) { includedFillColor = new Color(f.getRgbColor()); } } else { g2d.setComposite(AlphaComposite.getInstance(AlphaComposite.SRC_OVER, 0.2f)); } g2d.setPaint(includedFillColor); g2d.draw(bar); //restore composite g2d.setComposite(originalComposite); g2d.setColor(Color.black); // label fraction at top g2d.rotate(-Math.PI / 4.0, (float) mapX(saveStartSamX + ((barGap / 2.0) + barNum * (barWidth + barGap)), getMinX_Display(), rangeX, graphWidth), (float) mapY(date + twoSigma, getMaxY_Display(), rangeY, graphHeight)); g2d.drawString( ((UPbReduxAliquot) selectedSampleDateModels[i][0]).getAliquotFractionByName(fID) .getFractionID(), (float) mapX(saveStartSamX + ((barGap / 2.0) + barNum * (barWidth + barGap)), getMinX_Display(), rangeX, graphWidth) + 15, (float) mapY(date + twoSigma, getMaxY_Display(), rangeY, graphHeight)); g2d.rotate(Math.PI / 4.0, (float) mapX(saveStartSamX + ((barGap / 2.0) + barNum * (barWidth + barGap)), getMinX_Display(), rangeX, graphWidth), (float) mapY(date + twoSigma, getMaxY_Display(), rangeY, graphHeight)); barNum++; // startSamX += 2 * barWidth; startSamX += barWidth + barGap; } // display three info boxes below weighted means // each tic is the height of one calculated y-axis tic // determine the y axis tic double minYtic = Math.ceil(getMinY_Display() * 100) / 100; double maxYtic = Math.floor(getMaxY_Display() * 100) / 100; double deltay = Math.rint((maxYtic - minYtic) * 10 + 0.5); double yTic = deltay / 100; double yTopSummary = minPoint - yTic / 2.0;// wMeanOneSigma; //double specialYTic = yTic; double yTopWeights = yTopSummary - yTic * 1.1; double yTopMSWD_PDF = yTopWeights - yTic * 1.1; // summary box Path2D box = new Path2D.Double(Path2D.WIND_NON_ZERO); box.moveTo((float) mapX(saveStartSamX, getMinX_Display(), rangeX, graphWidth), (float) mapY(yTopSummary, getMaxY_Display(), rangeY, graphHeight)); box.lineTo((float) mapX(saveStartSamX + actualWidthX, getMinX_Display(), rangeX, graphWidth), (float) mapY(yTopSummary, getMaxY_Display(), rangeY, graphHeight)); box.lineTo((float) mapX(saveStartSamX + actualWidthX, getMinX_Display(), rangeX, graphWidth), (float) mapY(yTopSummary - yTic, getMaxY_Display(), rangeY, graphHeight)); box.lineTo((float) mapX(saveStartSamX, getMinX_Display(), rangeX, graphWidth), (float) mapY(yTopSummary - yTic, getMaxY_Display(), rangeY, graphHeight)); box.closePath(); g2d.setStroke(new BasicStroke(1.5f)); g2d.draw(box); // Info Box g2d.drawString(// SAM.getAliquot().getAliquotName(), (float) mapX(saveStartSamX, getMinX_Display(), rangeX, graphWidth) + 4f, (float) mapY(yTopSummary, getMaxY_Display(), rangeY, graphHeight) + 13f); g2d.drawString(// SAM.getName(), (float) mapX(saveStartSamX, getMinX_Display(), rangeX, graphWidth) + 4f, (float) mapY(yTopSummary, getMaxY_Display(), rangeY, graphHeight) + 25f); g2d.drawString(// SAM.FormatValueAndTwoSigmaABSThreeWaysForPublication(6, 2), (float) mapX(saveStartSamX, getMinX_Display(), rangeX, graphWidth) + 4f, (float) mapY(yTopSummary, getMaxY_Display(), rangeY, graphHeight) + 36f); g2d.drawString(// SAM.ShowCustomMSWDwithN(), (float) mapX(saveStartSamX, getMinX_Display(), rangeX, graphWidth) + 4f, (float) mapY(yTopSummary, getMaxY_Display(), rangeY, graphHeight) + 48f); // weights box box.reset(); box.moveTo((float) mapX(saveStartSamX, getMinX_Display(), rangeX, graphWidth), (float) mapY(yTopWeights, getMaxY_Display(), rangeY, graphHeight)); box.lineTo((float) mapX(saveStartSamX + actualWidthX, getMinX_Display(), rangeX, graphWidth), (float) mapY(yTopWeights, getMaxY_Display(), rangeY, graphHeight)); box.lineTo((float) mapX(saveStartSamX + actualWidthX, getMinX_Display(), rangeX, graphWidth), (float) mapY(yTopWeights - yTic, getMaxY_Display(), rangeY, graphHeight)); box.lineTo((float) mapX(saveStartSamX, getMinX_Display(), rangeX, graphWidth), (float) mapY(yTopWeights - yTic, getMaxY_Display(), rangeY, graphHeight)); box.closePath(); g2d.setStroke(new BasicStroke(1.5f)); g2d.draw(box); // plot fraction weights double artificialXRange = allFIDs.size(); double count = 0; //double weightWidth = Math.min(3.0 * barWidth, (yTic / rangeY * graphHeight)) - 15;//yTic;//barWidth * 2.0; double weightWidth = (barWidth + barGap) * 0.9; for (String fID : allFIDs) { // the dateModel has an associated aliquot, but in sample mode, it is a // standin aliquot for the sample. to get the aliquot number for // use in coloring fractions, we need to query the fraction itself String aliquotName = sample.getAliquotNameByFractionID(fID); Fraction f = ((UPbReduxAliquot) selectedSampleDateModels[i][0]) .getAliquotFractionByName(fID); Color includedFillColor = new Color(0, 0, 0); if (sample.getSampleDateInterpretationGUISettings().getAliquotOptions().get(aliquotName) .containsKey("includedFillColor")) { String[] temp = // sample.getSampleDateInterpretationGUISettings().getAliquotOptions() .get(aliquotName).get("includedFillColor").split(","); includedFillColor = buildRGBColor(temp); } double invertOneSigma = // 1.0 // / ((UPbReduxAliquot) selectedSampleDateModels[i][0]) .getAliquotFractionByName(fID)// .getRadiogenicIsotopeDateByName(SAM.getDateName()).getOneSigmaAbs() .movePointLeft(6).doubleValue(); Path2D weight = new Path2D.Double(Path2D.WIND_NON_ZERO); weight.moveTo( (float) mapX(saveStartSamX + (count + 0.5) / artificialXRange * actualWidthX, getMinX_Display(), rangeX, graphWidth) // - (float) (invertOneSigma / maxWeight / 2.0 * weightWidth), (float) mapY(yTopWeights - (yTic / 2.0), getMaxY_Display(), rangeY, graphHeight) // + (float) (invertOneSigma / maxWeight / 2.0 * weightWidth) - 5f); weight.lineTo( (float) mapX(saveStartSamX + (count + 0.5) / artificialXRange * actualWidthX, getMinX_Display(), rangeX, graphWidth) // + (float) (invertOneSigma / maxWeight / 2.0 * weightWidth), (float) mapY(yTopWeights - (yTic / 2.0), getMaxY_Display(), rangeY, graphHeight) // + (float) (invertOneSigma / maxWeight / 2.0 * weightWidth) - 5f); weight.lineTo( (float) mapX(saveStartSamX + (count + 0.5) / artificialXRange * actualWidthX, getMinX_Display(), rangeX, graphWidth) // + (float) (invertOneSigma / maxWeight / 2.0 * weightWidth), (float) mapY(yTopWeights - (yTic / 2.0), getMaxY_Display(), rangeY, graphHeight) // - (float) (invertOneSigma / maxWeight / 2.0 * weightWidth) - 5f); weight.lineTo( (float) mapX(saveStartSamX + (count + 0.5) / artificialXRange * actualWidthX, getMinX_Display(), rangeX, graphWidth) // - (float) (invertOneSigma / maxWeight / 2.0 * weightWidth), (float) mapY(yTopWeights - (yTic / 2.0), getMaxY_Display(), rangeY, graphHeight) // - (float) (invertOneSigma / maxWeight / 2.0 * weightWidth) - 5f); weight.closePath(); g2d.setStroke(new BasicStroke(2.5f)); // test for included or not == black or gray String weightPerCent = " 0";//0.0%"; // g2d.setPaint(includedFillColor); Composite originalComposite = g2d.getComposite(); if (SAM.getIncludedFractionIDsVector().contains(fID)) { g2d.setComposite(AlphaComposite.getInstance(AlphaComposite.SRC_OVER, 0.8f)); weightPerCent = formatter1DecPlace .format(Math.pow(invertOneSigma, 2.0) / totalWeight * 100.0);// + "%"; // april 2014 experiment if (f.getRgbColor() != 0) { includedFillColor = new Color(f.getRgbColor()); } } else { g2d.setComposite(AlphaComposite.getInstance(AlphaComposite.SRC_OVER, 0.2f)); } g2d.setPaint(includedFillColor); g2d.fill(weight); //restore composite g2d.setComposite(originalComposite); // write percent of total weight g2d.drawString(weightPerCent, (float) mapX(saveStartSamX + (count + 0.5) / artificialXRange * actualWidthX, getMinX_Display(), rangeX, graphWidth) // - (float) (invertOneSigma / maxWeight / 2.0 * weightWidth), (float) mapY(yTopWeights - yTic, getMaxY_Display(), rangeY, graphHeight) - 5f); g2d.setColor(Color.black); count += 1.0; } // double box height for graph yTic *= 2.0; // plot MSWD_PDF // store function x,y values Vector<Double> xVals = new Vector<Double>(); Vector<Double> yVals = new Vector<Double>(); double f = SAM.getIncludedFractionIDsVector().size() - 1; if (f > 1.0) { g2d.setStroke(new BasicStroke(1.0f)); double yRange = MSWDCoordinates.valuesByPointCount[(int) f][5] * 1.03; // alitle air at the top of curve double xStart = MSWDCoordinates.valuesByPointCount[(int) f][1]; double xRange = MSWDCoordinates.valuesByPointCount[(int) f][4] - xStart; double xStep = 0.005; Path2D MSWD_PDF = new Path2D.Double(Path2D.WIND_NON_ZERO); Path2D MSWD_right = new Path2D.Double(Path2D.WIND_NON_ZERO); // start at lower left corner of box (may or may not be 0,0 ) MSWD_PDF.moveTo(// (float) mapX((double) saveStartSamX, getMinX_Display(), rangeX, graphWidth), (float) mapY(yTopMSWD_PDF - yTic, getMaxY_Display(), rangeY, graphHeight)); // setup MSWD to paint last Path2D MSWD = null; // calculate function values for (double x = xStart; x < xRange; x += xStep) { xVals.add((((x - xStart) / xRange) * actualWidthX) + (double) saveStartSamX); double y = // Math.pow(2, -1.0 * f / 2.0)// * Math.exp(-1.0 * f * x / 2.0)// * Math.pow(f, f / 2.0)// * Math.pow(x, (-1.0 + f / 2.0))// / Math.exp(Gamma.logGamma(f / 2.0)); yVals.add(((y / yRange) * yTic) + yTopMSWD_PDF - yTic); MSWD_PDF.lineTo(// (float) mapX(xVals.lastElement(), getMinX_Display(), rangeX, graphWidth), (float) mapY(yVals.lastElement(), getMaxY_Display(), rangeY, graphHeight)); // test for location of left RED zone if ((MSWDCoordinates.valuesByPointCount[(int) f][2] >= x) && (MSWDCoordinates.valuesByPointCount[(int) f][2] < (x + xStep))) { double leftX = MSWDCoordinates.valuesByPointCount[(int) f][2]; xVals.add((((leftX - xStart) / xRange) * actualWidthX) + (double) saveStartSamX); double leftY = // Math.pow(2, -1.0 * f / 2.0)// * Math.exp(-1.0 * f * leftX / 2.0)// * Math.pow(f, f / 2.0)// * Math.pow(leftX, (-1.0 + f / 2.0))// / Math.exp(Gamma.logGamma(f / 2.0)); yVals.add(((leftY / yRange) * yTic) + yTopMSWD_PDF - yTic); MSWD_PDF.lineTo(// (float) mapX(xVals.lastElement(), getMinX_Display(), rangeX, graphWidth), (float) mapY(yVals.lastElement(), getMaxY_Display(), rangeY, graphHeight)); Path2D ciLower = new Path2D.Double(Path2D.WIND_NON_ZERO); ciLower.append(MSWD_PDF.getPathIterator(new AffineTransform()), true); ciLower.lineTo(// (float) mapX(xVals.lastElement(), getMinX_Display(), rangeX, graphWidth), (float) mapY(yTopMSWD_PDF - yTic, getMaxY_Display(), rangeY, graphHeight)); ciLower.closePath(); g2d.setColor(Color.RED); g2d.fill(ciLower); // draw right hand border line to compensate for a bug in the filler Line2D right = new Line2D.Double(// mapX(xVals.lastElement(), getMinX_Display(), rangeX, graphWidth), mapY(yVals.lastElement(), getMaxY_Display(), rangeY, graphHeight), mapX(xVals.lastElement(), getMinX_Display(), rangeX, graphWidth), mapY(yTopMSWD_PDF - yTic, getMaxY_Display(), rangeY, graphHeight)); g2d.setStroke(new BasicStroke(0.5f)); g2d.draw(right); g2d.setStroke(new BasicStroke(1.0f)); g2d.setColor(Color.BLACK); System.out.println("Left Red = (" + leftX + ", " + leftY + ")"); } // test for location of right RED zone if ((MSWDCoordinates.valuesByPointCount[(int) f][3] >= x) && (MSWDCoordinates.valuesByPointCount[(int) f][3] < (x + xStep))) { double rightX = MSWDCoordinates.valuesByPointCount[(int) f][3]; xVals.add((((rightX - xStart) / xRange) * actualWidthX) + (double) saveStartSamX); double rightY = // Math.pow(2, -1.0 * f / 2.0)// * Math.exp(-1.0 * f * rightX / 2.0)// * Math.pow(f, f / 2.0)// * Math.pow(rightX, (-1.0 + f / 2.0))// / Math.exp(Gamma.logGamma(f / 2.0)); yVals.add(((rightY / yRange) * yTic) + yTopMSWD_PDF - yTic); MSWD_PDF.lineTo(// (float) mapX(xVals.lastElement(), getMinX_Display(), rangeX, graphWidth), (float) mapY(yVals.lastElement(), getMaxY_Display(), rangeY, graphHeight)); // here the strategy is to draw the curve and then reset it to record the remainder g2d.setStroke(new BasicStroke(1.0f)); g2d.draw(MSWD_PDF); MSWD_PDF = new Path2D.Double(Path2D.WIND_NON_ZERO); MSWD_PDF.moveTo(// (float) mapX(xVals.lastElement(), getMinX_Display(), rangeX, graphWidth), (float) mapY(yVals.lastElement(), getMaxY_Display(), rangeY, graphHeight)); MSWD_right.moveTo(// (float) mapX(xVals.lastElement(), getMinX_Display(), rangeX, graphWidth), (float) mapY(yTopMSWD_PDF - yTic, getMaxY_Display(), rangeY, graphHeight)); MSWD_right.lineTo(// (float) mapX(xVals.lastElement(), getMinX_Display(), rangeX, graphWidth), (float) mapY(yVals.lastElement(), getMaxY_Display(), rangeY, graphHeight)); System.out.println("Right Red = (" + rightX + ", " + rightY + ")"); } // test for location of MSWD AND paint last if ((SAM.getMeanSquaredWeightedDeviation().doubleValue() >= x) && (SAM.getMeanSquaredWeightedDeviation().doubleValue() < (x + xStep))) { MSWD = new Path2D.Double(Path2D.WIND_NON_ZERO); MSWD.moveTo(// (float) mapX(xVals.lastElement(), getMinX_Display(), rangeX, graphWidth), (float) mapY(yTopMSWD_PDF - yTic, getMaxY_Display(), rangeY, graphHeight)); MSWD.lineTo(// (float) mapX(xVals.lastElement(), getMinX_Display(), rangeX, graphWidth), (float) mapY(yVals.lastElement(), getMaxY_Display(), rangeY, graphHeight)); } } g2d.setStroke(new BasicStroke(1.0f)); // merge with border of right RED and fill MSWD_right.append(MSWD_PDF.getPathIterator(new AffineTransform()), true); g2d.setColor(Color.RED); g2d.fill(MSWD_right); g2d.setColor(Color.BLACK); // draw the remaining curves g2d.draw(MSWD_PDF); // MSWD may be off the graph and hence not exist try { g2d.draw(MSWD); } catch (Exception e) { } // label 95% conf interval and MSWD g2d.drawString(// "95% CI: (" + formatter2DecPlaces.format(MSWDCoordinates.valuesByPointCount[(int) f][2]) + ", " + formatter2DecPlaces.format(MSWDCoordinates.valuesByPointCount[(int) f][3]) + ")", (float) mapX(saveStartSamX + (actualWidthX / 2.0), getMinX_Display(), rangeX, graphWidth) - 30f, (float) mapY(yTopMSWD_PDF, getMaxY_Display(), rangeY, graphHeight) + 15f); // determine if MSWD is out of range String mswdAlert = ""; if (SAM.getMeanSquaredWeightedDeviation() .doubleValue() > MSWDCoordinates.valuesByPointCount[(int) f][4]) { mswdAlert = "\n !Out of Range!"; } g2d.drawString(// "MSWD = " + formatter2DecPlaces .format(SAM.getMeanSquaredWeightedDeviation().doubleValue()) + ", n = " + (int) (f + 1) + mswdAlert, (float) mapX(saveStartSamX + (actualWidthX / 2.0), getMinX_Display(), rangeX, graphWidth) - 15f, (float) mapY(yTopMSWD_PDF, getMaxY_Display(), rangeY, graphHeight) + 30f); } else { g2d.drawString("need more data...", (float) mapX((double) saveStartSamX, getMinX_Display(), rangeX, graphWidth) + 4f, (float) mapY(yTopMSWD_PDF - yTic, getMaxY_Display(), rangeY, graphHeight) - 10f); } // MSWD_PDF box box.reset(); box.moveTo((float) mapX(saveStartSamX, getMinX_Display(), rangeX, graphWidth), (float) mapY(yTopMSWD_PDF, getMaxY_Display(), rangeY, graphHeight)); box.lineTo((float) mapX(saveStartSamX + actualWidthX, getMinX_Display(), rangeX, graphWidth), (float) mapY(yTopMSWD_PDF, getMaxY_Display(), rangeY, graphHeight)); box.lineTo((float) mapX(saveStartSamX + actualWidthX, getMinX_Display(), rangeX, graphWidth), (float) mapY(yTopMSWD_PDF - yTic, getMaxY_Display(), rangeY, graphHeight)); box.lineTo((float) mapX(saveStartSamX, getMinX_Display(), rangeX, graphWidth), (float) mapY(yTopMSWD_PDF - yTic, getMaxY_Display(), rangeY, graphHeight)); box.closePath(); g2d.setStroke(new BasicStroke(1.5f)); g2d.draw(box); // MSWD_PDF x-axis tics if (f > 1.0) { g2d.setStroke(new BasicStroke(1.0f)); double xStart = (MSWDCoordinates.valuesByPointCount[(int) f][1] <= 0.5) ? 0.5 : 1.0; double xRange = MSWDCoordinates.valuesByPointCount[(int) f][4] - MSWDCoordinates.valuesByPointCount[(int) f][1]; double xStep = 0.5; for (double x = xStart; x < xRange; x += xStep) { double xPlot = (((x - MSWDCoordinates.valuesByPointCount[(int) f][1]) / xRange) * actualWidthX) + (double) saveStartSamX; Line2D line = new Line2D.Double(mapX(xPlot, getMinX_Display(), rangeX, graphWidth), mapY(yTopMSWD_PDF - yTic, getMaxY_Display(), rangeY, graphHeight), mapX(xPlot, getMinX_Display(), rangeX, graphWidth), mapY(yTopMSWD_PDF - yTic, getMaxY_Display(), rangeY, graphHeight) + 7); g2d.draw(line); g2d.rotate(-Math.PI / 2.0, (float) mapX(xPlot, getMinX_Display(), rangeX, graphWidth), (float) mapY(yTopMSWD_PDF - yTic, getMaxY_Display(), rangeY, graphHeight)); g2d.drawString(formatter1DecPlace.format(x), (float) mapX(xPlot, getMinX_Display(), rangeX, graphWidth) - 30f, (float) mapY(yTopMSWD_PDF - yTic, getMaxY_Display(), rangeY, graphHeight) + 5f); g2d.rotate(Math.PI / 2.0, (float) mapX(xPlot, getMinX_Display(), rangeX, graphWidth), (float) mapY(yTopMSWD_PDF - yTic, getMaxY_Display(), rangeY, graphHeight)); } } // set counters barNum += samSpace; startSamX += 2 * samSpace * barWidth; } } } // // prevents re-randomization // setInRandomMode( true ); drawAxesAndTicks(g2d, rangeX, rangeY); // draw zoom box if in use if ((Math.abs(zoomMaxX - zoomMinX) * Math.abs(zoomMinY - zoomMaxY)) > 0.0) { g2d.setStroke(new BasicStroke(2.0f)); g2d.setColor(Color.red); g2d.drawRect(// Math.min(zoomMinX, zoomMaxX), Math.min(zoomMaxY, zoomMinY), Math.abs(zoomMaxX - zoomMinX), Math.abs(zoomMinY - zoomMaxY)); } }
From source file:cc.redberry.core.number.Numeric.java
/** * @see Double#compare(double, double)// w w w .j a v a 2 s. c o m */ @Override public int compareTo(Real o) { checkNotNull(o); return Double.compare(value, o.doubleValue()); }
From source file:ml.shifu.shifu.core.dtrain.nn.NNParquetWorker.java
@Override public void load(GuaguaWritableAdapter<LongWritable> currentKey, GuaguaWritableAdapter<Tuple> currentValue, WorkerContext<NNParams, NNParams> workerContext) { // init field list for later read this.initFieldList(); LOG.info("subFeatureSet size: {} ; subFeatureSet: {}", subFeatureSet.size(), subFeatureSet); super.count += 1; if ((super.count) % 5000 == 0) { LOG.info("Read {} records.", super.count); }//from w w w .j av a 2s. c o m float[] inputs = new float[super.featureInputsCnt]; float[] ideal = new float[super.outputNodeCount]; if (super.isDry) { // dry train, use empty data. addDataPairToDataSet(0, new BasicFloatMLDataPair(new BasicFloatMLData(inputs), new BasicFloatMLData(ideal))); return; } long hashcode = 0; float significance = 1f; // use guava Splitter to iterate only once // use NNConstants.NN_DEFAULT_COLUMN_SEPARATOR to replace getModelConfig().getDataSetDelimiter(), super follows // the function in akka mode. int index = 0, inputsIndex = 0, outputIndex = 0; Tuple tuple = currentValue.getWritable(); // back from foreach to for loop because of in earlier version, tuple cannot be iterable. for (int i = 0; i < tuple.size(); i++) { Object element = null; try { element = tuple.get(i); } catch (ExecException e) { throw new GuaguaRuntimeException(e); } float floatValue = 0f; if (element != null) { if (element instanceof Float) { floatValue = (Float) element; } else { // check here to avoid bad performance in failed NumberFormatUtils.getFloat(input, 0f) floatValue = element.toString().length() == 0 ? 0f : NumberFormatUtils.getFloat(element.toString(), 0f); } } // no idea about why NaN in input data, we should process it as missing value TODO , according to norm type floatValue = (Float.isNaN(floatValue) || Double.isNaN(floatValue)) ? 0f : floatValue; if (index == (super.inputNodeCount + super.outputNodeCount)) { // do we need to check if not weighted directly set to 1f; if such logic non-weight at first, then // weight, how to process??? if (StringUtils.isBlank(modelConfig.getWeightColumnName())) { significance = 1f; // break here if we reach weight column which is last column break; } assert element != null; if (element != null && element instanceof Float) { significance = (Float) element; } else { // check here to avoid bad performance in failed NumberFormatUtils.getFloat(input, 0f) significance = element.toString().length() == 0 ? 1f : NumberFormatUtils.getFloat(element.toString(), 1f); } // if invalid weight, set it to 1f and warning in log if (Float.compare(significance, 0f) < 0) { LOG.warn( "The {} record in current worker weight {} is less than 0f, it is invalid, set it to 1.", count, significance); significance = 1f; } // break here if we reach weight column which is last column break; } else { int columnIndex = requiredFieldList.getFields().get(index).getIndex(); if (columnIndex >= super.columnConfigList.size()) { assert element != null; if (element != null && element instanceof Float) { significance = (Float) element; } else { // check here to avoid bad performance in failed NumberFormatUtils.getFloat(input, 0f) significance = element.toString().length() == 0 ? 1f : NumberFormatUtils.getFloat(element.toString(), 1f); } break; } else { ColumnConfig columnConfig = super.columnConfigList.get(columnIndex); if (columnConfig != null && columnConfig.isTarget()) { if (modelConfig.isRegression()) { ideal[outputIndex++] = floatValue; } else { if (modelConfig.getTrain().isOneVsAll()) { // if one vs all, set correlated idea value according to trainerId which means in // trainer with id 0, target 0 is treated with 1, other are 0. Such target value are set // to index of tags like [0, 1, 2, 3] compared with ["a", "b", "c", "d"] ideal[outputIndex++] = Float.compare(floatValue, trainerId) == 0 ? 1f : 0f; } else { if (modelConfig.getTags().size() == 2) { // if only 2 classes, output node is 1 node. if target = 0 means 0 is the index for // positive prediction, set positive to 1 and negative to 0 int ideaIndex = (int) floatValue; ideal[0] = ideaIndex == 0 ? 1f : 0f; } else { // for multiple classification int ideaIndex = (int) floatValue; ideal[ideaIndex] = 1f; } } } } else { if (subFeatureSet.contains(columnIndex)) { inputs[inputsIndex++] = floatValue; hashcode = hashcode * 31 + Double.valueOf(floatValue).hashCode(); } } } } index += 1; } // output delimiter in norm can be set by user now and if user set a special one later changed, this exception // is helped to quick find such issue. if (inputsIndex != inputs.length) { String delimiter = workerContext.getProps().getProperty(Constants.SHIFU_OUTPUT_DATA_DELIMITER, Constants.DEFAULT_DELIMITER); throw new RuntimeException("Input length is inconsistent with parsing size. Input original size: " + inputs.length + ", parsing size:" + inputsIndex + ", delimiter:" + delimiter + "."); } // sample negative only logic here if (modelConfig.getTrain().getSampleNegOnly()) { if (this.modelConfig.isFixInitialInput()) { // if fixInitialInput, sample hashcode in 1-sampleRate range out if negative records int startHashCode = (100 / this.modelConfig.getBaggingNum()) * this.trainerId; // here BaggingSampleRate means how many data will be used in training and validation, if it is 0.8, we // should take 1-0.8 to check endHashCode int endHashCode = startHashCode + Double.valueOf((1d - this.modelConfig.getBaggingSampleRate()) * 100).intValue(); if ((modelConfig.isRegression() || (modelConfig.isClassification() && modelConfig.getTrain().isOneVsAll())) // regression or // onevsall && (int) (ideal[0] + 0.01d) == 0 // negative record && isInRange(hashcode, startHashCode, endHashCode)) { return; } } else { // if not fixed initial input, and for regression or onevsall multiple classification (regression also). // if negative record if ((modelConfig.isRegression() || (modelConfig.isClassification() && modelConfig.getTrain().isOneVsAll())) // regression or // onevsall && (int) (ideal[0] + 0.01d) == 0 // negative record && Double.compare(super.sampelNegOnlyRandom.nextDouble(), this.modelConfig.getBaggingSampleRate()) >= 0) { return; } } } FloatMLDataPair pair = new BasicFloatMLDataPair(new BasicFloatMLData(inputs), new BasicFloatMLData(ideal)); // up sampling logic if (modelConfig.isRegression() && isUpSampleEnabled() && Double.compare(ideal[0], 1d) == 0) { // Double.compare(ideal[0], 1d) == 0 means positive tags; sample + 1 to avoid sample count to 0 pair.setSignificance(significance * (super.upSampleRng.sample() + 1)); } else { pair.setSignificance(significance); } boolean isValidation = false; if (workerContext.getAttachment() != null && workerContext.getAttachment() instanceof Boolean) { isValidation = (Boolean) workerContext.getAttachment(); } boolean isInTraining = addDataPairToDataSet(hashcode, pair, isValidation); // do bagging sampling only for training data if (isInTraining) { float subsampleWeights = sampleWeights(pair.getIdealArray()[0]); if (isPositive(pair.getIdealArray()[0])) { this.positiveSelectedTrainCount += subsampleWeights * 1L; } else { this.negativeSelectedTrainCount += subsampleWeights * 1L; } // set weights to significance, if 0, significance will be 0, that is bagging sampling pair.setSignificance(pair.getSignificance() * subsampleWeights); } else { // for validation data, according bagging sampling logic, we may need to sampling validation data set, while // validation data set are only used to compute validation error, not to do real sampling is ok. } }