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  /external/tensorflow/tensorflow/contrib/distributions/python/ops/
sample_stats.py 36 "percentile",
215 # TODO(langmore) To make equivalent to numpy.percentile:
218 def percentile(x, function
225 """Compute the `q`-th percentile of `x`.
227 Given a vector `x`, the `q`-th percentile of `x` is the value `q / 100` of the
231 `interpolation` parameter will determine the percentile if the normalized
239 # Get 30th percentile with default ('nearest') interpolation.
241 percentile(x, q=30.)
244 # Get 30th percentile with 'lower' interpolation
246 percentile(x, q=30., interpolation='lower'
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  /external/fio/tools/
fiologparser.py 109 my90th = percentile(samplevalues, 0.90)
110 my95th = percentile(samplevalues, 0.95)
111 my99th = percentile(samplevalues, 0.99)
125 def percentile(values, p): function
  /frameworks/base/libs/hwui/tests/macrobench/
TestSceneRunner.cpp 70 int percentile; member in struct:ReportInfo
99 durationInS = proxy->frameTimePercentile(ri.percentile) / 1000.0;
  /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/
StatUtils.java 28 import org.apache.commons.math.stat.descriptive.rank.Percentile;
66 /** percentile */
67 private static final Percentile PERCENTILE = new Percentile();
498 * Returns an estimate of the <code>p</code>th percentile of the values
511 * See {@link org.apache.commons.math.stat.descriptive.rank.Percentile} for
512 * a description of the percentile estimation algorithm used.</p>
515 * @param p the percentile value to compute
516 * @return the percentile value or Double.NaN if the array is empt
520 public static double percentile(final double[] values, final double p) { method in class:StatUtils
551 public static double percentile(final double[] values, final int begin, method in class:StatUtils
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  /external/caliper/caliper/src/main/java/com/google/caliper/runner/
ConsoleOutput.java 37 import org.apache.commons.math.stat.descriptive.rank.Percentile;
119 Percentile percentile = new Percentile(); local
120 percentile.setData(weightedValues);
126 descriptiveStatistics.getMin(), percentile.evaluate(25),
127 percentile.evaluate(50), descriptiveStatistics.getMean(),
128 percentile.evaluate(75), descriptiveStatistics.getMax());
  /developers/build/prebuilts/androidtv/sample-inputs/app/libs/
exoplayer_dev-hls_20150123.jar 
  /external/conscrypt/benchmark-android/
vogar.jar 

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