List of usage examples for java.lang Double NEGATIVE_INFINITY
double NEGATIVE_INFINITY
To view the source code for java.lang Double NEGATIVE_INFINITY.
Click Source Link
From source file:com.rapidminer.operator.preprocessing.discretization.UserBasedDiscretization.java
@Override public List<ParameterType> getParameterTypes() { List<ParameterType> types = super.getParameterTypes(); ParameterType classType = new ParameterTypeString(PARAMETER_CLASS_NAME, "The name of this range."); ParameterType threshold = new ParameterTypeDouble(PARAMETER_UPPER_LIMIT, "The upper limit.", Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY); List<String[]> defaultList = new LinkedList<String[]>(); defaultList.add(new String[] { "first", Double.NEGATIVE_INFINITY + "" }); defaultList.add(new String[] { "last", Double.POSITIVE_INFINITY + "" }); ParameterType type = new ParameterTypeList(PARAMETER_RANGE_NAMES, "Defines the classes and the upper limits of each class.", classType, threshold, defaultList); type.setExpert(false);//from w w w.j a v a 2s. c om types.add(type); return types; }
From source file:ffx.crystal.CCP4MapWriter.java
/** * write data to file, does not normalize * * @param data map data to write out/*from w w w. j a va 2s . c om*/ * @param norm should the data be normalized by mean/sd? */ public void write(double data[], boolean norm) { ByteOrder b = ByteOrder.nativeOrder(); FileOutputStream fos; DataOutputStream dos; double min = Double.POSITIVE_INFINITY; double max = Double.NEGATIVE_INFINITY; double mean = 0.0; double sd = 0.0; int n = 0; for (int k = 0; k < extz; k++) { for (int j = 0; j < exty; j++) { for (int i = 0; i < extx; i++) { int index = stride * (i + extx * (j + exty * k)); // int index = k * (exty * (extx + 2)) + j * (extx + 2) + i; n++; if (data[index] < min) { min = data[index]; } if (data[index] > max) { max = data[index]; } mean += (data[index] - mean) / n; } } } n = 0; for (int k = 0; k < extz; k++) { for (int j = 0; j < exty; j++) { for (int i = 0; i < extx; i++) { int index = stride * (i + extx * (j + exty * k)); // int index = k * (exty * (extx + 2)) + j * (extx + 2) + i; sd += pow(data[index] - mean, 2.0); n++; } } } sd = sqrt(sd / n); if (norm) { for (int k = 0; k < extz; k++) { for (int j = 0; j < exty; j++) { for (int i = 0; i < extx; i++) { int index = stride * (i + extx * (j + exty * k)); data[index] = (data[index] - mean) / sd; } } } // recurse write(data, false); } try { if (logger.isLoggable(Level.INFO)) { StringBuilder sb = new StringBuilder(); sb.append(String.format("\nwriting CCP4 map file: \"%s\"\n", filename)); sb.append(String.format("map min: %g max: %g mean: %g standard dev.: %g", min, max, mean, sd)); logger.info(sb.toString()); } fos = new FileOutputStream(filename); dos = new DataOutputStream(fos); byte bytes[] = new byte[2048]; int offset = 0; int imapdata; float fmapdata; String mapstr; // header ByteBuffer bb = ByteBuffer.wrap(bytes); bb.order(b).putInt(extx); bb.order(b).putInt(exty); bb.order(b).putInt(extz); // mode (2 = reals, only one we accept) bb.order(b).putInt(2); bb.order(b).putInt(orix); bb.order(b).putInt(oriy); bb.order(b).putInt(oriz); bb.order(b).putInt(nx); bb.order(b).putInt(ny); bb.order(b).putInt(nz); bb.order(b).putFloat((float) crystal.a); bb.order(b).putFloat((float) crystal.b); bb.order(b).putFloat((float) crystal.c); bb.order(b).putFloat((float) crystal.alpha); bb.order(b).putFloat((float) crystal.beta); bb.order(b).putFloat((float) crystal.gamma); bb.order(b).putInt(1); bb.order(b).putInt(2); bb.order(b).putInt(3); bb.order(b).putFloat((float) min); bb.order(b).putFloat((float) max); bb.order(b).putFloat((float) mean); bb.order(b).putInt(crystal.spaceGroup.number); // bb.order(b).putInt(1); // symmetry bytes - should set this up at some point // imapdata = swap ? ByteSwap.swap(320) : 320; bb.order(b).putInt(80); bb.order(b).putInt(0); for (int i = 0; i < 12; i++) { bb.order(b).putFloat(0.0f); } for (int i = 0; i < 15; i++) { bb.order(b).putInt(0); } dos.write(bytes, offset, 208); bb.rewind(); mapstr = "MAP "; dos.writeBytes(mapstr); // machine code: double, float, int, uchar // 0x4441 for LE, 0x1111 for BE if (ByteOrder.nativeOrder().equals(ByteOrder.LITTLE_ENDIAN)) { imapdata = 0x4441; } else { imapdata = 0x1111; } bb.order(b).putInt(imapdata); bb.order(b).putFloat((float) sd); bb.order(b).putInt(1); dos.write(bytes, offset, 12); StringBuilder sb = new StringBuilder(); sb.append("map data from ffx"); while (sb.length() < 80) { sb.append(" "); } dos.writeBytes(sb.toString()); sb = new StringBuilder(); while (sb.length() < 80) { sb.append(" "); } for (int i = 0; i < 9; i++) { dos.writeBytes(sb.toString()); } sb = new StringBuilder(); sb.append("x,y,z"); while (sb.length() < 80) { sb.append(" "); } dos.writeBytes(sb.toString()); bb.rewind(); for (int k = 0; k < extz; k++) { for (int j = 0; j < exty; j++) { for (int i = 0; i < extx; i++) { int index = stride * (i + extx * (j + exty * k)); // int index = k * (exty * (extx + 2)) + j * (extx + 2) + i; fmapdata = (float) data[index]; bb.order(b).putFloat(fmapdata); if (!bb.hasRemaining()) { dos.write(bytes); bb.rewind(); } } } } if (bb.position() > 0) { dos.write(bytes); bb.rewind(); } dos.close(); } catch (Exception e) { String message = "Fatal exception evaluating structure factors.\n"; logger.log(Level.SEVERE, message, e); System.exit(-1); } }
From source file:lirmm.inria.fr.math.BigSparseRealMatrixTest.java
@Test public void testMath870() { // Caveat: This implementation assumes that, for any {@code x}, // the equality {@code x * 0d == 0d} holds. But it is is not true for // {@code NaN}. Moreover, zero entries will lose their sign. // Some operations (that involve {@code NaN} and/or infinities) may // thus give incorrect results. BigSparseRealMatrix a = new BigSparseRealMatrix(3, 3); BigSparseRealMatrix x = new BigSparseRealMatrix(3, 1); x.setEntry(0, 0, Double.NaN); x.setEntry(2, 0, Double.NEGATIVE_INFINITY); BigSparseRealMatrix b = a.multiply(x); for (int i = 0; i < b.getRowDimension(); ++i) { for (int j = 0; j < b.getColumnDimension(); ++j) { // NaNs and infinities have disappeared, this is a limitation of our implementation Assert.assertEquals(0.0, b.getEntry(i, j), 1.0e-20); }//from w ww . j a v a2s .co m } }
From source file:org.jfree.experimental.chart.renderer.xy.VectorRenderer.java
/** * Returns the range of values the renderer requires to display all the * items from the specified dataset.// w ww. j a va2s.c om * * @param dataset the dataset (<code>null</code> permitted). * * @return The range (<code>null</code> if the dataset is <code>null</code> * or empty). */ public Range findRangeBounds(XYDataset dataset) { if (dataset == null) { throw new IllegalArgumentException("Null 'dataset' argument."); } double minimum = Double.POSITIVE_INFINITY; double maximum = Double.NEGATIVE_INFINITY; int seriesCount = dataset.getSeriesCount(); double lvalue; double uvalue; if (dataset instanceof VectorXYDataset) { VectorXYDataset vdataset = (VectorXYDataset) dataset; for (int series = 0; series < seriesCount; series++) { int itemCount = dataset.getItemCount(series); for (int item = 0; item < itemCount; item++) { double delta = vdataset.getDeltaYValue(series, item); if (delta < 0.0) { uvalue = vdataset.getYValue(series, item); lvalue = uvalue + delta; } else { lvalue = vdataset.getYValue(series, item); uvalue = lvalue + delta; } minimum = Math.min(minimum, lvalue); maximum = Math.max(maximum, uvalue); } } } else { for (int series = 0; series < seriesCount; series++) { int itemCount = dataset.getItemCount(series); for (int item = 0; item < itemCount; item++) { lvalue = dataset.getYValue(series, item); uvalue = lvalue; minimum = Math.min(minimum, lvalue); maximum = Math.max(maximum, uvalue); } } } if (minimum > maximum) { return null; } else { return new Range(minimum, maximum); } }
From source file:com.fay.statics.SummaryStat.java
public void clear() { valSum = sumSquare = 0.0d; numObs = 0; weightSum = 0.0d; min = Double.POSITIVE_INFINITY; max = Double.NEGATIVE_INFINITY; }
From source file:com.rapidminer.gui.plotter.charts.BubbleChartPlotter.java
private void prepareNumericalData() { DataTable dataTable = getDataTable(); this.nominal = false; xyzDataSet = new DefaultXYZDataset(); if (axis[X_AXIS] >= 0 && axis[Y_AXIS] >= 0 && axis[BUBBLE_SIZE_AXIS] >= 0) { this.bubbleSizeMin = Double.POSITIVE_INFINITY; this.bubbleSizeMax = Double.NEGATIVE_INFINITY; this.xAxisMin = Double.POSITIVE_INFINITY; this.xAxisMax = Double.NEGATIVE_INFINITY; this.yAxisMin = Double.POSITIVE_INFINITY; this.yAxisMax = Double.NEGATIVE_INFINITY; this.minColor = Double.POSITIVE_INFINITY; this.maxColor = Double.NEGATIVE_INFINITY; List<double[]> dataList = new LinkedList<>(); synchronized (dataTable) { Iterator<DataTableRow> i = dataTable.iterator(); while (i.hasNext()) { DataTableRow row = i.next(); double xValue = row.getValue(axis[X_AXIS]); double yValue = row.getValue(axis[Y_AXIS]); double bubbleSizeValue = row.getValue(axis[BUBBLE_SIZE_AXIS]); double colorValue = Double.NaN; if (colorColumn >= 0) { colorValue = row.getValue(colorColumn); }/*from ww w .j a va2s . c o m*/ if (!Double.isNaN(xValue) && !Double.isNaN(yValue) && !Double.isNaN(bubbleSizeValue)) { double[] data = new double[4]; data[X_AXIS] = xValue; data[Y_AXIS] = yValue; data[BUBBLE_SIZE_AXIS] = bubbleSizeValue; data[3] = colorValue; this.bubbleSizeMin = MathFunctions.robustMin(this.bubbleSizeMin, bubbleSizeValue); this.bubbleSizeMax = MathFunctions.robustMax(this.bubbleSizeMax, bubbleSizeValue); this.xAxisMin = MathFunctions.robustMin(this.xAxisMin, xValue); this.yAxisMin = MathFunctions.robustMin(this.yAxisMin, yValue); this.xAxisMax = MathFunctions.robustMax(this.xAxisMax, xValue); this.yAxisMax = MathFunctions.robustMax(this.yAxisMax, yValue); this.minColor = MathFunctions.robustMin(this.minColor, colorValue); this.maxColor = MathFunctions.robustMax(this.maxColor, colorValue); dataList.add(data); } } } double[][] data = new double[3][dataList.size()]; this.colors = new double[dataList.size()]; int index = 0; double scaleFactor = Math.min(this.xAxisMax - this.xAxisMin, this.yAxisMax - this.yAxisMin) / 4.0d; for (double[] d : dataList) { data[X_AXIS][index] = d[X_AXIS]; data[Y_AXIS][index] = d[Y_AXIS]; data[BUBBLE_SIZE_AXIS][index] = ((d[BUBBLE_SIZE_AXIS] - bubbleSizeMin) / (bubbleSizeMax - bubbleSizeMin) + 0.1) * scaleFactor; this.colors[index] = d[3]; index++; } xyzDataSet.addSeries("All", data); } }
From source file:de.bund.bfr.knime.nls.chart.ChartCreator.java
public JFreeChart createChart() throws ParseException { if (varX == null || varY == null) { return new JFreeChart(null, JFreeChart.DEFAULT_TITLE_FONT, new XYPlot(), showLegend); }// w ww .j av a 2 s. c om List<String> idsToPaint; if (selectAll) { idsToPaint = new ArrayList<>(plotables.keySet()); } else { idsToPaint = selectedIds; } NumberAxis xAxis = new NumberAxis(transformX.getName(varX)); NumberAxis yAxis = new NumberAxis(transformY.getName(varY)); XYPlot plot = new XYPlot(null, xAxis, yAxis, null); double usedMinX = Double.POSITIVE_INFINITY; double usedMaxX = Double.NEGATIVE_INFINITY; int index = 0; List<Color> defaultColors = ChartUtils.createColorList(idsToPaint.size()); List<NamedShape> defaultShapes = ChartUtils.createShapeList(idsToPaint.size()); for (String id : idsToPaint) { Plotable plotable = plotables.get(id); if (plotable == null) { continue; } if (plotable.isDataType()) { double[][] points = plotable.getDataPoints(varX, varY, transformX, transformY); if (points != null) { for (int i = 0; i < points[0].length; i++) { usedMinX = Math.min(usedMinX, points[0][i]); usedMaxX = Math.max(usedMaxX, points[0][i]); } } } if (plotable.isParamType()) { double minArg = transformX.to(MathUtils.nullToNan(plotable.getMinValues().get(varX))); double maxArg = transformX.to(MathUtils.nullToNan(plotable.getMaxValues().get(varX))); if (Double.isFinite(minArg)) { usedMinX = Math.min(usedMinX, minArg); } if (Double.isFinite(maxArg)) { usedMaxX = Math.max(usedMaxX, maxArg); } } } if (!Double.isFinite(usedMinX)) { usedMinX = 0.0; } if (!Double.isFinite(usedMaxX)) { usedMaxX = 100.0; } xAxis.setAutoRangeIncludesZero(false); yAxis.setAutoRangeIncludesZero(false); if (usedMinX == usedMaxX) { usedMinX -= 1.0; usedMaxX += 1.0; } if (useManualRange && minX < maxX && minY < maxY) { usedMinX = minX; usedMaxX = maxX; xAxis.setRange(new Range(minX, maxX)); yAxis.setRange(new Range(minY, maxY)); } for (String id : idsToPaint) { Plotable plotable = plotables.get(id); if (plotable == null) { continue; } plotable.setFunctionSteps(resolution); plotable.setInterpolator(interpolator); switch (plotable.getType()) { case DATA: plotData(plot, plotable, id, defaultColors.get(index), defaultShapes.get(index)); break; case FUNCTION: plotFunction(plot, plotable, id, defaultColors.get(index), defaultShapes.get(index), usedMinX, usedMaxX); break; case DATA_FUNCTION: plotDataFunction(plot, plotable, id, defaultColors.get(index), defaultShapes.get(index), usedMinX, usedMaxX); break; case DIFF: plotDiff(plot, plotable, id, defaultColors.get(index), defaultShapes.get(index), usedMinX, usedMaxX); break; case DATA_DIFF: plotDataDiff(plot, plotable, id, defaultColors.get(index), defaultShapes.get(index), usedMinX, usedMaxX); break; default: throw new RuntimeException("Unknown type of plotable: " + plotable.getType()); } index++; } if (minToZero && !useManualRange) { Range xRange = xAxis.getRange(); Range yRange = yAxis.getRange(); if (xRange.getUpperBound() <= 0.0 || yRange.getUpperBound() <= 0.0) { return null; } xAxis.setRange(new Range(0.0, xRange.getUpperBound())); yAxis.setRange(new Range(0.0, yRange.getUpperBound())); } return new JFreeChart(null, JFreeChart.DEFAULT_TITLE_FONT, plot, showLegend); }
From source file:beast.evomodel.speciation.BirthDeathModel.java
@Override public double calculateTreeLogLikelihood(Tree tree) { if (conditionOnOrigin && tree.getNodeHeight(tree.getRoot()) > originHeightParameter.getValue(0)) return Double.NEGATIVE_INFINITY; return super.calculateTreeLogLikelihood(tree); }
From source file:com.rapidminer.operator.preprocessing.discretization.MinMaxBinDiscretization.java
@Override public List<ParameterType> getParameterTypes() { List<ParameterType> types = super.getParameterTypes(); ParameterType type = new ParameterTypeInt(PARAMETER_NUMBER_OF_BINS, "Defines the number of bins which should be used for each attribute.", 2, Integer.MAX_VALUE, 2); type.setExpert(false);// w w w. j av a2 s .co m types.add(type); types.add(new ParameterTypeDouble(PARAMETER_MIN_VALUE, "The minimum value for the binning range.", Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY, false)); types.add(new ParameterTypeDouble(PARAMETER_MAX_VALUE, "The maximum value for the binning range.", Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY, false)); types.add(new ParameterTypeCategory(PARAMETER_RANGE_NAME_TYPE, "Indicates if long range names including the limits should be used.", DiscretizationModel.RANGE_NAME_TYPES, DiscretizationModel.RANGE_NAME_LONG)); type = new ParameterTypeBoolean(PARAMETER_AUTOMATIC_NUMBER_OF_DIGITS, "Indicates if the number of digits should be automatically determined for the range names.", true); type.registerDependencyCondition(new EqualTypeCondition(this, PARAMETER_RANGE_NAME_TYPE, DiscretizationModel.RANGE_NAME_TYPES, false, DiscretizationModel.RANGE_NAME_INTERVAL)); types.add(type); type = new ParameterTypeInt(PARAMETER_NUMBER_OF_DIGITS, "The minimum number of digits used for the interval names (-1: determine minimal number automatically).", -1, Integer.MAX_VALUE, -1); type.registerDependencyCondition( new BooleanParameterCondition(this, PARAMETER_AUTOMATIC_NUMBER_OF_DIGITS, false, false)); types.add(type); return types; }
From source file:de.saring.util.gui.jfreechart.StackedRenderer.java
/** * Returns the range of values the renderer requires to display all the * items from the specified dataset./*from w ww . j a v a 2 s .c o m*/ * * @param dataset the dataset (<code>null</code> permitted). * @return The range (or <code>null</code> if the dataset is * <code>null</code> or empty). */ @Override public Range findRangeBounds(XYDataset dataset) { if (dataset == null) { return null; } double min = Double.POSITIVE_INFINITY; double max = Double.NEGATIVE_INFINITY; TableXYDataset d = (TableXYDataset) dataset; int itemCount = d.getItemCount(); for (int i = 0; i < itemCount; i++) { double[] stackValues = getStackValues((TableXYDataset) dataset, d.getSeriesCount(), i); min = Math.min(min, stackValues[0]); max = Math.max(max, stackValues[1]); } if (min == Double.POSITIVE_INFINITY) { return null; } return new Range(min, max); }