| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/descriptive/rank/ |
| Median.java | 23 * Returns the median of the available values. This is the same as the 50th percentile.
24 * See {@link Percentile} for a description of the algorithm used.
33 public class Median extends Percentile implements Serializable {
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| Percentile.java | 28 * Provides percentile computation.
36 * <code>0 < p <= 100</code> be the desired percentile.</li>
39 * <li>Compute the estimated percentile position
56 * (50th percentile) of
59 * Since percentile estimation usually involves interpolation between array
63 * Since 2.2, Percentile implementation uses only selection instead of complete
66 * This greatly improves efficiency, both for single percentile and multiple
69 * state from the previous calls. Percentile does this by checking the array reference
82 public class Percentile extends AbstractUnivariateStatistic implements Serializable {
93 /** Determines what percentile is computed when evaluate() is activate
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| /external/llvm/lib/Analysis/ |
| ProfileSummaryInfo.cpp | 22 // considered hot/cold. These two parameters are percentile values (multiplied
32 " reach this percentile of total counts."));
37 " to reach this percentile of total counts."));
39 // Find the minimum count to reach a desired percentile of counts.
41 uint64_t Percentile) {
42 auto Compare = [](const ProfileSummaryEntry &Entry, uint64_t Percentile) {
43 return Entry.Cutoff < Percentile;
45 auto It = std::lower_bound(DS.begin(), DS.end(), Percentile, Compare);
46 // The required percentile has to be <= one of the percentiles in the
49 report_fatal_error("Desired percentile exceeds the maximum cutoff")
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| /art/runtime/base/ |
| histogram_test.cc | 27 // Percentile PerValue
34 // PerValue = hist->PercentileVal(0.50); finds the 50th percentile(median).
66 TEST(Histtest, Percentile) {
67 std::unique_ptr<Histogram<uint64_t>> hist(new Histogram<uint64_t>("Percentile", 5));
89 PerValue = hist->Percentile(0.50, data);
121 PerValue = hist->Percentile(0.50, data);
164 PerValue = hist->Percentile(0.50, data);
205 PerValue = hist->Percentile(0.50, data);
238 per_995 = hist->Percentile(0.995, data);
247 per_005 = hist->Percentile(0.005, data)
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| histogram.h | 59 double Percentile(double per, const CumulativeData& data) const;
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| histogram-inl.h | 197 << (interval * 100) << "% C.I. " << FormatDuration(Percentile(per_0, data) * kAdjust, unit,
199 << "-" << FormatDuration(Percentile(per_1, data) * kAdjust, unit, kFractionalDigits) << " "
236 inline double Histogram<Value>::Percentile(double per, const CumulativeData& data) const {
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| /external/chromium-trace/catapult/common/lab/ |
| commits.py | 35 def Percentile(data, percentile):
36 """Find a percentile of a list of values.
40 percentile: The percentile to look up, from 0.0 to 1.0.
43 The percentile.
51 k = (len(data) - 1) * percentile
91 percentile = Percentile(commit_durations, p)
92 print '%3d%% commit duration:' % (p * 100), '%6ds' % percentile
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/descriptive/ |
| DescriptiveStatistics.java | 32 import org.apache.commons.math.stat.descriptive.rank.Percentile;
96 /** Percentile statistic implementation - can be reset by setter. */
97 private UnivariateStatistic percentileImpl = new Percentile();
376 * Returns an estimate for the pth percentile of the stored values.
388 * @param p the requested percentile (scaled from 0 - 100)
389 * @return An estimate for the pth percentile of the stored data
390 * @throws IllegalStateException if percentile implementation has been
395 if (percentileImpl instanceof Percentile) {
396 ((Percentile) percentileImpl).setQuantile(p);
559 * Returns the currently configured percentile implementation
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| /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());
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