/external/webrtc/webrtc/modules/audio_processing/vad/ |
H A D | gmm.h | 27 // where kth row is the mean of the kth mixture. 28 const double* mean; member in struct:webrtc::GmmParameters
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/external/apache-commons-math/src/main/java/org/apache/commons/math/distribution/ |
H A D | ExponentialDistribution.java | 34 * Modify the mean. 35 * @param mean the new mean. 39 void setMean(double mean); argument 42 * Access the mean. 43 * @return the mean.
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H A D | NormalDistribution.java | 35 * Access the mean. 36 * @return mean for this distribution 40 * Modify the mean. 41 * @param mean for this distribution 45 void setMean(double mean); argument
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/external/apache-commons-math/src/main/java/org/apache/commons/math/random/ |
H A D | UncorrelatedRandomVectorGenerator.java | 40 private final double[] mean; field in class:UncorrelatedRandomVectorGenerator 47 * its mean and standard deviation vectors.</p> 48 * @param mean expected mean values for each component 53 public UncorrelatedRandomVectorGenerator(double[] mean, argument 56 if (mean.length != standardDeviation.length) { 57 throw new DimensionMismatchException(mean.length, standardDeviation.length); 59 this.mean = mean.clone(); 65 * <p>Build a null mean rando [all...] |
H A D | CorrelatedRandomVectorGenerator.java | 67 private final double[] mean; field in class:CorrelatedRandomVectorGenerator 82 * <p>Build a correlated random vector generator from its mean 84 * @param mean expected mean values for all components 91 * mismatch between the mean vector and the covariance matrix 94 * @exception DimensionMismatchException if the mean and covariance 97 public CorrelatedRandomVectorGenerator(double[] mean, argument 103 if (mean.length != order) { 104 throw new DimensionMismatchException(mean.length, order); 106 this.mean [all...] |
/external/tensorflow/tensorflow/compiler/xla/tests/ |
H A D | bfloat16_test.cc | 128 auto mean = builder.ConstantR1<bfloat16>( local 140 builder.BatchNormGrad(operand, scale, mean, var, grad_output,
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/external/tensorflow/tensorflow/contrib/boosted_trees/lib/utils/ |
H A D | random_test.cc | 38 // Ensure mean is near expected value. 41 double mean = sum / num_bootstrap; local 42 EXPECT_NEAR(mean, expected_mean, 3 * mean_std_error);
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/external/tensorflow/tensorflow/core/grappler/costs/ |
H A D | robust_stats.h | 29 double mean() const { return mean_; } function in class:tensorflow::grappler::RobustStats
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/external/tensorflow/tensorflow/stream_executor/ |
H A D | rng.h | 64 // Gaussian distribution with the given mean and standard deviation. 65 virtual bool DoPopulateRandGaussian(Stream *stream, float mean, float stddev, argument 71 virtual bool DoPopulateRandGaussian(Stream *stream, double mean, argument
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/external/webrtc/webrtc/common_audio/vad/ |
H A D | vad_gmm.c | 25 // m = |mean| (Q7) 31 int16_t mean, 52 tmp16 = tmp16 - mean; // Q7 - Q7 = Q7 30 WebRtcVad_GaussianProbability(int16_t input, int16_t mean, int16_t std, int16_t* delta) argument
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/external/webrtc/webrtc/modules/video_processing/include/ |
H A D | video_processing.h | 33 uint32_t mean; member in struct:webrtc::VideoProcessing::FrameStats
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/external/fec/ |
H A D | sim.c | 7 /* Generate gaussian random double with specified mean and std_dev */ 8 double normal_rand(double mean, double std_dev) argument 17 return mean + std_dev*gset; 30 return mean + std_dev*v2*fac;
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/external/fio/t/ |
H A D | gen-rand.c | 21 double p, dev, mean, vmin, vmax; local 50 mean = nvalues * p; 51 vmin = mean - dev; 52 vmax = mean + dev; 57 printf("FAIL bucket%4lu: val=%8lu (%.1f < %.1f > %.1f)\n", (unsigned long) i + 1, buckets[i], vmin, mean, vmax); 60 printf("PASS bucket%4lu: val=%8lu (%.1f < %.1f > %.1f)\n", (unsigned long) i + 1, buckets[i], vmin, mean, vmax);
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H A D | lfsr-test.c | 23 "Elapsed/mean time and verification results are printed at the" 39 double total, mean; local 119 /* Calculate elapsed time and mean time per number */ 121 mean = total / fl->num_vals; 128 printf("Mean: %lf us\n", mean);
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/external/libcxx/test/std/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bernoulli/ |
H A D | eval.pass.cpp | 41 double mean = std::accumulate(u.begin(), u.end(), local 48 double dbl = (u[i] - mean); 63 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 77 double mean = std::accumulate(u.begin(), u.end(), local 84 double dbl = (u[i] - mean); 99 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
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H A D | eval_param.pass.cpp | 43 double mean = std::accumulate(u.begin(), u.end(), local 50 double dbl = (u[i] - mean); 65 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 81 double mean = std::accumulate(u.begin(), u.end(), local 88 double dbl = (u[i] - mean); 103 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
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/external/libcxx/test/std/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.chisq/ |
H A D | eval.pass.cpp | 48 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local 54 double dbl = (u[i] - mean); 69 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 87 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local 93 double dbl = (u[i] - mean); 108 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 126 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local 132 double dbl = (u[i] - mean); 147 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
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/external/libcxx/test/std/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.normal/ |
H A D | eval.pass.cpp | 44 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local 50 double dbl = (u[i] - mean); 61 double x_mean = d.mean(); 65 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
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H A D | eval_param.pass.cpp | 46 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local 52 double dbl = (u[i] - mean); 63 double x_mean = p.mean(); 67 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
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/external/libcxx/test/std/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.t/ |
H A D | eval.pass.cpp | 43 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local 49 double dbl = (u[i] - mean); 64 assert(std::abs(mean - x_mean) < 0.01); 78 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); 84 double dbl = (u[i] - mean); 99 assert(std::abs(mean - x_mean) < 0.01); 113 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); 119 double dbl = (u[i] - mean); 134 assert(std::abs(mean - x_mean) < 0.01);
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/external/libcxx/test/std/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.exp/ |
H A D | eval.pass.cpp | 48 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local 54 double dbl = (u[i] - mean); 69 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 87 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local 93 double dbl = (u[i] - mean); 108 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 126 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local 132 double dbl = (u[i] - mean); 147 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
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/external/libcxx/test/std/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.gamma/ |
H A D | eval.pass.cpp | 47 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local 53 double dbl = (u[i] - mean); 68 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 86 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local 92 double dbl = (u[i] - mean); 107 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 125 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local 131 double dbl = (u[i] - mean); 146 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
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/external/libcxx/test/std/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.poisson/ |
H A D | eval.pass.cpp | 47 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local 53 double dbl = (u[i] - mean); 64 double x_mean = d.mean(); 65 double x_var = d.mean(); 68 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 86 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local 92 double dbl = (u[i] - mean); 103 double x_mean = d.mean(); 104 double x_var = d.mean(); 107 assert(std::abs((mean 125 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local [all...] |
/external/libcxx/test/std/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.weibull/ |
H A D | eval.pass.cpp | 48 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local 54 double dbl = (u[i] - mean); 73 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 91 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local 97 double dbl = (u[i] - mean); 116 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 134 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local 140 double dbl = (u[i] - mean); 159 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
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/external/skia/bin/ |
H A D | compare | 38 def mean(xs): function 44 m = mean if args.use_means else min
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