| /external/webrtc/webrtc/test/ |
| statistics.h | 25 double Variance() const;
|
| statistics.cc | 31 double Statistics::Variance() const {
38 return sqrt(Variance());
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/descriptive/moment/ |
| StandardDeviation.java | 26 * is the positive square root of the variance. This implementation wraps a
27 * {@link Variance} instance. The <code>isBiasCorrected</code> property of the
28 * wrapped Variance instance is exposed, so that this class can be used to
30 * bias-corrected "sample variance") or the "population standard deviation"
31 * (the square root of the non-bias-corrected "population variance"). See
32 * {@link Variance} for more information.
47 /** Wrapped Variance instance */
48 private Variance variance = null; field in class:StandardDeviation
51 * Constructs a StandardDeviation. Sets the underlying {@link Variance}
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| Variance.java | 27 * Computes the variance of the available values. By default, the unbiased
28 * "sample variance" definitional formula is used:
30 * variance = sum((x_i - mean)^2) / (n - 1) </p>
38 * <li> The <code>getResult</code> method computes the variance using
46 * Chan, Golub, Levesque, <i>Algorithms for Computing the Sample Variance</i>,
54 * The "population variance" ( sum((x_i - mean)^2) / n ) can also
68 public class Variance extends AbstractStorelessUnivariateStatistic implements Serializable, WeightedEvaluation {
73 /** SecondMoment is used in incremental calculation of Variance*/
77 * Boolean test to determine if this Variance should also increment
78 * the second moment, this evaluates to false when this Variance i
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| Kurtosis.java | 111 double variance = moment.m2 / (moment.n - 1); local
112 if (moment.n <= 3 || variance < 10E-20) {
119 ((n - 1) * (n -2) * (n -3) * variance * variance);
171 Variance variance = new Variance(); local
172 variance.incrementAll(values, begin, length);
173 double mean = variance.moment.m1;
174 double stdDev = FastMath.sqrt(variance.getResult())
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| /external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/ |
| stat_utils.h | 33 // Returns the variance in stats for the given output.
34 float Variance(const LeafStat& stats, int output);
36 // Returns the variance sum for all outputs.
|
| stat_utils.cc | 53 float Variance(const LeafStat& stats, int output) {
69 sum += Variance(stats, i);
|
| /external/tensorflow/tensorflow/java/src/test/java/org/tensorflow/op/ |
| ScopeTest.java | 159 Variance<Integer> var1 = Variance.create(s.withName("example"), data, Integer.class);
160 assertEquals("example/variance", var1.output().op().name());
168 Variance<Integer> var2 = Variance.create(s, data, Integer.class);
169 assertEquals("variance/variance", var2.output().op().name());
172 assertNotNull(g.operation("variance/squared_deviation"));
173 assertNotNull(g.operation("variance/Mean"));
174 // assertNotNull(g.operation("variance/zero"))
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/correlation/ |
| Covariance.java | 24 import org.apache.commons.math.stat.descriptive.moment.Variance;
162 Variance variance = new Variance(biasCorrected); local
170 outMatrix.setEntry(i, i, variance.evaluate(matrix.getColumn(i)));
|
| /external/webrtc/webrtc/modules/audio_coding/test/ |
| utility.h | 97 int16_t Variance(double& var);
|
| utility.cc | 193 // to calculate variance we have to update
253 int16_t CircularBuffer::Variance(double& var) {
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/descriptive/ |
| SummaryStatistics.java | 26 import org.apache.commons.math.stat.descriptive.moment.Variance;
45 * default implementation for the variance can be overridden by calling
67 /** SecondMoment is used to compute the mean and variance */
91 /** variance of values that have been added */
92 protected Variance variance = new Variance(); field in class:SummaryStatistics
115 /** Variance statistic implementation - can be reset by setter. */
116 private StorelessUnivariateStatistic varianceImpl = variance;
154 // If mean, variance or geomean have been overridden
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| DescriptiveStatistics.java | 29 import org.apache.commons.math.stat.descriptive.moment.Variance;
102 /** Variance statistic implementation - can be reset by setter. */
103 private UnivariateStatistic varianceImpl = new Variance();
208 * Returns the variance of the available values.
209 * @return The variance, Double.NaN if no values have been added
622 * Returns the currently configured variance implementation.
624 * @return the UnivariateStatistic implementing the variance
632 * <p>Sets the implementation for the variance.</p>
635 * for computing the variance
|
| /art/libartbase/base/ |
| histogram.h | 58 double Variance() const;
120 // Summation of the values entered. Used to calculate variance.
|
| histogram-inl.h | 146 template <class Value> inline double Histogram<Value>::Variance() const {
148 // Using algorithms for calculating variance over a population:
|
| histogram_test.cc | 57 double variance; local
62 variance = hist->Variance();
63 EXPECT_DOUBLE_EQ(64.25, variance);
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/ |
| StatUtils.java | 25 import org.apache.commons.math.stat.descriptive.moment.Variance;
63 /** variance */
64 private static final Variance VARIANCE = new Variance();
301 * Returns the variance of the entries in the input array, or
304 * See {@link org.apache.commons.math.stat.descriptive.moment.Variance} for
312 * @return the variance of the values or Double.NaN if the array is empty
315 public static double variance(final double[] values) { method in class:StatUtils
316 return VARIANCE.evaluate(values)
339 public static double variance(final double[] values, final int begin, method in class:StatUtils
370 public static double variance(final double[] values, final double mean, method in class:StatUtils
397 public static double variance(final double[] values, final double mean) { method in class:StatUtils
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/clustering/ |
| KMeansPlusPlusClusterer.java | 27 import org.apache.commons.math.stat.descriptive.moment.Variance;
41 /** Split the cluster with largest distance variance. */
64 * algorithm iterations is to split the cluster with largest distance variance.
201 * Get a random point from the {@link Cluster} with the largest distance variance.
213 // compute the distance variance of the current cluster
215 final Variance stat = new Variance();
219 final double variance = stat.getResult(); local
221 // select the cluster with the largest variance
222 if (variance > maxVariance)
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/regression/ |
| AbstractMultipleLinearRegression.java | 25 import org.apache.commons.math.stat.descriptive.moment.Variance;
289 * Estimates the variance of the error.
291 * @return estimate of the error variance
317 * Calculates the beta variance of multiple linear regression in matrix
320 * @return beta variance
326 * Calculates the variance of the y values.
328 * @return Y variance
331 return new Variance().evaluate(Y.getData());
335 * <p>Calculates the variance of the error term.</p>
342 * @return error variance estimat
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| /external/webrtc/webrtc/modules/video_processing/test/ |
| denoiser_test.cc | 47 TEST_F(VideoProcessingTest, Variance) {
57 // Compute the 16x8 variance of the 16x16 block.
|
| /external/clang/include/clang/AST/ |
| DeclObjC.h | 508 /// Describes the variance of a given generic parameter.
538 /// The variance of the type parameter.
539 unsigned Variance : 2;
541 /// The location of the variance, if any.
549 ObjCTypeParamVariance variance, SourceLocation varianceLoc,
555 Index(index), Variance(static_cast<unsigned>(variance)),
560 ObjCTypeParamVariance variance,
571 /// Determine the variance of this type parameter.
573 return static_cast<ObjCTypeParamVariance>(Variance);
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| /prebuilts/clang/host/darwin-x86/clang-4053586/prebuilt_include/clang/include/clang/AST/ |
| DeclObjC.h | 513 /// Describes the variance of a given generic parameter.
543 /// The variance of the type parameter.
544 unsigned Variance : 2;
546 /// The location of the variance, if any.
554 ObjCTypeParamVariance variance, SourceLocation varianceLoc,
560 Index(index), Variance(static_cast<unsigned>(variance)),
565 ObjCTypeParamVariance variance,
576 /// Determine the variance of this type parameter.
578 return static_cast<ObjCTypeParamVariance>(Variance);
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| /prebuilts/clang/host/darwin-x86/clang-4393122/include/clang/AST/ |
| DeclObjC.h | 513 /// Describes the variance of a given generic parameter.
543 /// The variance of the type parameter.
544 unsigned Variance : 2;
546 /// The location of the variance, if any.
554 ObjCTypeParamVariance variance, SourceLocation varianceLoc,
560 Index(index), Variance(static_cast<unsigned>(variance)),
565 ObjCTypeParamVariance variance,
576 /// Determine the variance of this type parameter.
578 return static_cast<ObjCTypeParamVariance>(Variance);
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| /prebuilts/clang/host/darwin-x86/clang-4479392/include/clang/AST/ |
| DeclObjC.h | 513 /// Describes the variance of a given generic parameter.
543 /// The variance of the type parameter.
544 unsigned Variance : 2;
546 /// The location of the variance, if any.
554 ObjCTypeParamVariance variance, SourceLocation varianceLoc,
560 Index(index), Variance(static_cast<unsigned>(variance)),
565 ObjCTypeParamVariance variance,
576 /// Determine the variance of this type parameter.
578 return static_cast<ObjCTypeParamVariance>(Variance);
[all...] |
| /prebuilts/clang/host/darwin-x86/clang-4579689/include/clang/AST/ |
| DeclObjC.h | 513 /// Describes the variance of a given generic parameter.
543 /// The variance of the type parameter.
544 unsigned Variance : 2;
546 /// The location of the variance, if any.
554 ObjCTypeParamVariance variance, SourceLocation varianceLoc,
560 Index(index), Variance(static_cast<unsigned>(variance)),
565 ObjCTypeParamVariance variance,
576 /// Determine the variance of this type parameter.
578 return static_cast<ObjCTypeParamVariance>(Variance);
[all...] |
