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From source file:com.cloudera.oryx.als.serving.ServerRecommender.java
@Override public float[] similarityToItem(String toItemID, String... itemIDs) throws NotReadyException, NoSuchItemException { Generation generation = getCurrentGeneration(); LongObjectMap<float[]> Y = generation.getY(); float[] similarities = new float[itemIDs.length]; Lock yLock = generation.getYLock().readLock(); yLock.lock();//from www. j a v a 2s . c om try { float[] toFeatures = Y.get(StringLongMapping.toLong(toItemID)); if (toFeatures == null) { throw new NoSuchItemException(toItemID); } double toFeaturesNorm = SimpleVectorMath.norm(toFeatures); boolean anyFound = false; for (int i = 0; i < similarities.length; i++) { float[] features = Y.get(StringLongMapping.toLong(itemIDs[i])); if (features == null) { similarities[i] = Float.NaN; } else { anyFound = true; double featuresNorm = SimpleVectorMath.norm(features); similarities[i] = (float) (SimpleVectorMath.dot(features, toFeatures) / (featuresNorm * toFeaturesNorm)); } } if (!anyFound) { throw new NoSuchItemException(Arrays.toString(itemIDs)); } } finally { yLock.unlock(); } return similarities; }
From source file:pipeline.misc_util.Utils.java
private static float[] minMaxSlidingWindow(float[][] numbers, float windowLength) { int windowStart = 0; float[] result = new float[numbers.length]; int arrayIndex = 0; float globalMin = Float.MAX_VALUE; for (float[] number : numbers) { if (number[1] < globalMin) globalMin = number[1];// w ww. j ava 2 s . co m } while (arrayIndex < numbers.length - 1) { int effectiveEnd = windowStart; while ((numbers[effectiveEnd][0] - numbers[windowStart][0] < windowLength) && (effectiveEnd < numbers.length - 1)) effectiveEnd++; float max = -Float.MAX_VALUE; float min = Float.MAX_VALUE; for (int i = windowStart; i < effectiveEnd; i++) { if (numbers[i][1] > max) max = numbers[i][1]; if (numbers[i][1] < min) min = numbers[i][1]; } if (min > globalMin) result[arrayIndex] = (max - min) / (min - globalMin); else result[arrayIndex] = Float.NaN; windowStart++; arrayIndex++; } return result; }
From source file:com.affectiva.affdexme.MainActivity.java
/** * Use the method that we saved in activateMetric() to get the metric score and display it *//*from w ww. java2 s.c om*/ void updateMetricScore(MetricDisplay metricDisplay, Face face) { MetricsManager.Metrics metric = metricDisplay.getMetricToDisplay(); float score = Float.NaN; try { switch (metric.getType()) { case Emotion: score = (Float) metricDisplay.getFaceScoreMethod().invoke(face.emotions); break; case Expression: score = (Float) metricDisplay.getFaceScoreMethod().invoke(face.expressions); break; case Emoji: score = (Float) metricDisplay.getFaceScoreMethod().invoke(face.emojis); break; default: throw new Exception("Unknown Metric Type: " + metric.getType().toString()); } } catch (Exception e) { Log.e(LOG_TAG, String.format("Error using reflecting to get %s score from face.", metric.toString())); } metricDisplay.setScore(score); }
From source file:com.yahoo.egads.models.tsmm.TestOlympicModel2.java
@Test public void trainDrop() throws Exception { // one high/* w w w. j a v a2 s. co m*/ config.setProperty("NUM_TO_DROP_HIGHEST", "1"); config.setProperty("NUM_TO_DROP_LOWEST", "0"); OlympicModel2 model = new OlympicModel2(config); TimeSeries ts = new TimeSeries(); ts.append(1475452800, 10); ts.append(1475453100, 25); ts.append(1476057600, 20); ts.append(1476057900, 45); ts.append(1476662400, 30); ts.append(1476662700, 55); ts.append(1477267200, 40); ts.append(1477267500, 65); model.train(ts.data); assertEquals(13, model.model.size()); assertEquals(1477872000, (long) model.model.get(0).getKey()); assertEquals(20.0, model.model.get(0).getValue(), 0.00001); assertEquals(1477872300, (long) model.model.get(1).getKey()); assertEquals(41.66666, model.model.get(1).getValue(), 0.00001); assertEquals(1477872600, (long) model.model.get(2).getKey()); assertTrue(Double.isNaN(model.model.get(2).getValue())); // two high config.setProperty("NUM_TO_DROP_HIGHEST", "2"); config.setProperty("NUM_TO_DROP_LOWEST", "0"); model = new OlympicModel2(config); ts = new TimeSeries(); ts.append(1475452800, 10); ts.append(1475453100, 25); ts.append(1476057600, 20); ts.append(1476057900, 45); ts.append(1476662400, 30); ts.append(1476662700, 55); ts.append(1477267200, 40); ts.append(1477267500, 65); model.train(ts.data); assertEquals(13, model.model.size()); assertEquals(1477872000, (long) model.model.get(0).getKey()); assertEquals(15.0, model.model.get(0).getValue(), 0.00001); assertEquals(1477872300, (long) model.model.get(1).getKey()); assertEquals(35.0, model.model.get(1).getValue(), 0.00001); assertEquals(1477872600, (long) model.model.get(2).getKey()); assertTrue(Double.isNaN(model.model.get(2).getValue())); // one low config.setProperty("NUM_TO_DROP_HIGHEST", "0"); config.setProperty("NUM_TO_DROP_LOWEST", "1"); model = new OlympicModel2(config); ts = new TimeSeries(); ts.append(1475452800, 10); ts.append(1475453100, 25); ts.append(1476057600, 20); ts.append(1476057900, 45); ts.append(1476662400, 30); ts.append(1476662700, 55); ts.append(1477267200, 40); ts.append(1477267500, 65); model.train(ts.data); assertEquals(13, model.model.size()); assertEquals(1477872000, (long) model.model.get(0).getKey()); assertEquals(30.0, model.model.get(0).getValue(), 0.00001); assertEquals(1477872300, (long) model.model.get(1).getKey()); assertEquals(55.0, model.model.get(1).getValue(), 0.00001); assertEquals(1477872600, (long) model.model.get(2).getKey()); assertTrue(Double.isNaN(model.model.get(2).getValue())); // two low config.setProperty("NUM_TO_DROP_HIGHEST", "0"); config.setProperty("NUM_TO_DROP_LOWEST", "2"); model = new OlympicModel2(config); ts = new TimeSeries(); ts.append(1475452800, 10); ts.append(1475453100, 25); ts.append(1476057600, 20); ts.append(1476057900, 45); ts.append(1476662400, 30); ts.append(1476662700, 55); ts.append(1477267200, 40); ts.append(1477267500, 65); model.train(ts.data); assertEquals(13, model.model.size()); assertEquals(1477872000, (long) model.model.get(0).getKey()); assertEquals(35.0, model.model.get(0).getValue(), 0.00001); assertEquals(1477872300, (long) model.model.get(1).getKey()); assertEquals(60.0, model.model.get(1).getValue(), 0.00001); assertEquals(1477872600, (long) model.model.get(2).getKey()); assertTrue(Double.isNaN(model.model.get(2).getValue())); // one each config.setProperty("NUM_TO_DROP_HIGHEST", "1"); config.setProperty("NUM_TO_DROP_LOWEST", "1"); model = new OlympicModel2(config); ts = new TimeSeries(); ts.append(1475452800, 10); ts.append(1475453100, 25); ts.append(1476057600, 20); ts.append(1476057900, 45); ts.append(1476662400, 30); ts.append(1476662700, 55); ts.append(1477267200, 40); ts.append(1477267500, 65); model.train(ts.data); assertEquals(13, model.model.size()); assertEquals(1477872000, (long) model.model.get(0).getKey()); assertEquals(25.0, model.model.get(0).getValue(), 0.00001); assertEquals(1477872300, (long) model.model.get(1).getKey()); assertEquals(50.0, model.model.get(1).getValue(), 0.00001); assertEquals(1477872600, (long) model.model.get(2).getKey()); assertTrue(Double.isNaN(model.model.get(2).getValue())); // two each - TOO MANY so we drop as much as possible config.setProperty("NUM_TO_DROP_HIGHEST", "2"); config.setProperty("NUM_TO_DROP_LOWEST", "2"); model = new OlympicModel2(config); ts = new TimeSeries(); ts.append(1475452800, 10); ts.append(1475453100, 25); ts.append(1476057600, 20); ts.append(1476057900, 45); ts.append(1476662400, 30); ts.append(1476662700, 55); ts.append(1477267200, 40); ts.append(1477267500, 65); model.train(ts.data); assertEquals(13, model.model.size()); assertEquals(1477872000, (long) model.model.get(0).getKey()); assertEquals(30.0, model.model.get(0).getValue(), 0.00001); assertEquals(1477872300, (long) model.model.get(1).getKey()); assertEquals(55.0, model.model.get(1).getValue(), 0.00001); assertEquals(1477872600, (long) model.model.get(2).getKey()); assertTrue(Double.isNaN(model.model.get(2).getValue())); // one each - TOO MANY so we drop as much as possible config.setProperty("NUM_TO_DROP_HIGHEST", "1"); config.setProperty("NUM_TO_DROP_LOWEST", "1"); model = new OlympicModel2(config); ts = new TimeSeries(); ts.append(1475452800, 10); ts.append(1475453100, 25); ts.append(1476057600, Float.NaN); ts.append(1476057900, Float.NaN); ts.append(1476662400, Float.NaN); ts.append(1476662700, Float.NaN); ts.append(1477267200, 40); ts.append(1477267500, 65); model.train(ts.data); assertEquals(13, model.model.size()); assertEquals(1477872000, (long) model.model.get(0).getKey()); assertEquals(40.0, model.model.get(0).getValue(), 0.00001); assertEquals(1477872300, (long) model.model.get(1).getKey()); assertEquals(65.0, model.model.get(1).getValue(), 0.00001); assertEquals(1477872600, (long) model.model.get(2).getKey()); assertTrue(Double.isNaN(model.model.get(2).getValue())); }
From source file:au.org.ala.layers.intersect.Grid.java
/** * do get values of grid for provided points. * <p/>/* ww w. j av a 2s .co m*/ * loads whole grid file as double[] in process * * @param points * @return */ public float[] getValues2(double[][] points) { if (points == null || points.length == 0) { return null; } if (subgrid) return getValues3(points, Math.min(1024 * 1024, 64 * points.length)); //init output structure float[] ret = new float[points.length]; //load whole grid float[] grid = getGrid(); int glen = grid.length; int length = points.length; int i, pos; //points loop for (i = 0; i < length; i++) { pos = (int) getcellnumber(points[i][0], points[i][1]); if (pos >= 0 && pos < glen) { ret[i] = grid[pos]; } else { ret[i] = Float.NaN; } } return ret; }
From source file:jp.furplag.util.commons.NumberUtilsTest.java
/** * {@link jp.furplag.util.commons.NumberUtils#isNaN(java.lang.Object)}. *///from ww w.jav a2 s.co m @Test public void testIsNaNObject() { assertEquals("null", false, isNaN(null)); assertEquals("empty", false, isNaN("")); assertEquals("invalidString", false, isNaN("not a number")); assertEquals("notParsable", false, isNaN(new int[] { 1, 2, 3 })); assertEquals("notParsable", false, isNaN(new float[] { Float.NaN })); assertEquals("Infinity", false, isNaN(Double.POSITIVE_INFINITY)); assertEquals("-Infinity", false, isNaN(Float.NEGATIVE_INFINITY)); }
From source file:net.myrrix.online.ServerRecommender.java
@Override public float[] similarityToItem(long toItemID, long... itemIDs) throws TasteException { Generation generation = getCurrentGeneration(); FastByIDMap<float[]> Y = generation.getY(); float[] similarities = new float[itemIDs.length]; Lock yLock = generation.getYLock().readLock(); yLock.lock();/*from ww w . j a va2 s .c o m*/ try { float[] toFeatures = Y.get(toItemID); if (toFeatures == null) { throw new NoSuchItemException(toItemID); } double toFeaturesNorm = SimpleVectorMath.norm(toFeatures); boolean anyFound = false; for (int i = 0; i < similarities.length; i++) { float[] features = Y.get(itemIDs[i]); if (features == null) { similarities[i] = Float.NaN; } else { anyFound = true; double featuresNorm = SimpleVectorMath.norm(features); similarities[i] = (float) (SimpleVectorMath.dot(features, toFeatures) / (featuresNorm * toFeaturesNorm)); } } if (!anyFound) { throw new NoSuchItemException(Arrays.toString(itemIDs)); } } finally { yLock.unlock(); } return similarities; }
From source file:au.org.ala.layers.intersect.Grid.java
float[] getGrid(double xmin, double ymin, double xmax, double ymax) { //expects largest y at the top //expects input ranges inside of grid ranges int width = (int) ((xmax - xmin) / xres); int height = (int) ((ymax - ymin) / yres); int startx = (int) ((xmin - this.xmin) / xres); int endx = startx + width; int starty = (int) ((ymin - this.ymin) / yres); //int endy = starty + height; int length = width * height; float[] ret = new float[length]; int pos = 0;/*ww w. j av a 2 s .c o m*/ int i; RandomAccessFile afile = null; File f2 = new File(filename + ".GRI"); int size = 4; if (datatype.equals("BYTE") || datatype.equals("UBYTE")) { size = 1; } else if (datatype.equals("SHORT")) { size = 2; } else if (datatype.equals("INT")) { size = 4; } else if (datatype.equals("LONG")) { size = 8; } else if (datatype.equals("FLOAT")) { size = 4; } else if (datatype.equals("DOUBLE")) { size = 8; } try { //read of random access file can throw an exception if (!f2.exists()) { afile = new RandomAccessFile(filename + ".gri", "r"); } else { afile = new RandomAccessFile(filename + ".GRI", "r"); } //seek to first raster afile.seek(((long) this.ncols) * starty * size); //read relevant rasters int readSize = this.ncols * height * size; int readLen = this.ncols * height; byte[] b = new byte[readSize]; afile.read(b); ByteBuffer bb = ByteBuffer.wrap(b); if (byteorderLSB) { bb.order(ByteOrder.LITTLE_ENDIAN); } if (datatype.equalsIgnoreCase("BYTE")) { for (i = 0; i < readLen; i++) { int x = i % this.ncols; if (x < startx || x >= endx) { bb.get(); } else { ret[pos++] = bb.get(); } } } else if (datatype.equalsIgnoreCase("UBYTE")) { for (i = 0; i < readLen; i++) { int x = i % this.ncols; if (x < startx || x >= endx) { bb.get(); } else { ret[pos] = bb.get(); if (ret[pos] < 0) { ret[pos] += 256; } pos++; } } } else if (datatype.equalsIgnoreCase("SHORT")) { for (i = 0; i < readLen; i++) { int x = i % this.ncols; if (x < startx || x >= endx) { bb.getShort(); } else { ret[pos++] = bb.getShort(); } } } else if (datatype.equalsIgnoreCase("INT")) { for (i = 0; i < readLen; i++) { int x = i % this.ncols; if (x < startx || x >= endx) { bb.getInt(); } else { ret[pos++] = bb.getInt(); } } } else if (datatype.equalsIgnoreCase("LONG")) { for (i = 0; i < readLen; i++) { int x = i % this.ncols; if (x < startx || x >= endx) { bb.getLong(); } else { ret[pos++] = bb.getLong(); } } } else if (datatype.equalsIgnoreCase("FLOAT")) { for (i = 0; i < readLen; i++) { int x = i % this.ncols; if (x < startx || x >= endx) { bb.getFloat(); } else { ret[pos++] = bb.getFloat(); } } } else if (datatype.equalsIgnoreCase("DOUBLE")) { for (i = 0; i < readLen; i++) { int x = i % this.ncols; if (x < startx || x >= endx) { bb.getDouble(); } else { ret[pos++] = (float) bb.getDouble(); } } } else { // / should not happen; catch anyway... for (i = 0; i < length; i++) { ret[i] = Float.NaN; } } //replace not a number for (i = 0; i < length; i++) { if ((float) ret[i] == (float) nodatavalue) { ret[i] = Float.NaN; } else { ret[i] *= rescale; } } } catch (Exception e) { logger.error("GRID: " + e.toString(), e); } finally { if (afile != null) { try { afile.close(); } catch (Exception e) { logger.error(e.getMessage(), e); } } } grid_data = ret; return ret; }
From source file:com.androzic.Androzic.java
public float getHDOP() { if (locationService != null) return locationService.getHDOP(); else//from w w w. j a v a 2 s.co m return Float.NaN; }
From source file:com.androzic.Androzic.java
public float getVDOP() { if (locationService != null) return locationService.getVDOP(); else//w ww .j a v a 2s .com return Float.NaN; }