/external/ltp/testcases/realtime/include/ |
H A D | libstats.h | 72 long *quantiles; member in struct:stats_quantiles 122 /* stats_container_init - allocate memory for new quantiles 124 * quantiles: stats_quantiles_t destination pointer 126 int stats_quantiles_init(stats_quantiles_t *quantiles, int nines); 128 /* stats_quantiles_free - free the quantiles array 131 int stats_quantiles_free(stats_quantiles_t *quantiles); 133 /* stats_quantiles_calc - calculate the quantiles of the supplied container 135 * quantiles: stats_quantiles_t structure for storing the results 137 int stats_quantiles_calc(stats_container_t *data, stats_quantiles_t *quantiles); 139 /* stats_quantiles_print - print the quantiles store [all...] |
/external/tensorflow/tensorflow/contrib/boosted_trees/lib/quantiles/ |
H A D | weighted_quantiles_buffer_test.cc | 15 #include "tensorflow/contrib/boosted_trees/lib/quantiles/weighted_quantiles_buffer.h" 26 boosted_trees::quantiles::WeightedQuantilesBuffer<double, double>; 28 boosted_trees::quantiles::WeightedQuantilesBuffer<double, 36 boosted_trees::quantiles::WeightedQuantilesBuffer<double, double> 42 boosted_trees::quantiles::WeightedQuantilesBuffer<double, double>
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H A D | weighted_quantiles_summary_test.cc | 15 #include "tensorflow/contrib/boosted_trees/lib/quantiles/weighted_quantiles_summary.h" 25 using Buffer = boosted_trees::quantiles::WeightedQuantilesBuffer<float, float>; 27 boosted_trees::quantiles::WeightedQuantilesBuffer<float, 30 boosted_trees::quantiles::WeightedQuantilesSummary<float, float>; 32 boosted_trees::quantiles::WeightedQuantilesSummary<float,
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H A D | weighted_quantiles_stream_test.cc | 15 #include "tensorflow/contrib/boosted_trees/lib/quantiles/weighted_quantiles_stream.h" 27 boosted_trees::quantiles::WeightedQuantilesSummary<double, double>; 29 boosted_trees::quantiles::WeightedQuantilesSummary<double, 32 boosted_trees::quantiles::WeightedQuantilesStream<double, double>; 124 // Verify expected quantiles. 214 // Verify expected quantiles.
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H A D | weighted_quantiles_buffer.h | 27 namespace quantiles { namespace in namespace:tensorflow::boosted_trees 128 } // namespace quantiles
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H A D | weighted_quantiles_stream.h | 22 #include "tensorflow/contrib/boosted_trees/lib/quantiles/weighted_quantiles_buffer.h" 23 #include "tensorflow/contrib/boosted_trees/lib/quantiles/weighted_quantiles_summary.h" 28 namespace quantiles { namespace in namespace:tensorflow::boosted_trees 30 // Class to compute approximate quantiles with error bound guarantees for 36 // * (2007) A fast algorithm for approximate quantiles in high speed 139 // Generates requested number of quantiles after finalizing stream. 140 // The returned quantiles can be queried using std::lower_bound to get 145 << "Finalize() must be called before generating quantiles."; 153 // necessarily represent the actual quantiles of the distribution. 154 // Boundaries are preferable over quantiles whe [all...] |
H A D | weighted_quantiles_summary.h | 21 #include "tensorflow/contrib/boosted_trees/lib/quantiles/weighted_quantiles_buffer.h" 25 namespace quantiles { namespace in namespace:tensorflow::boosted_trees 257 // To construct the desired n-quantiles we repetitively query n ranks from the 333 } // namespace quantiles
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/external/ltp/testcases/realtime/lib/ |
H A D | libstats.c | 206 int stats_quantiles_init(stats_quantiles_t * quantiles, int nines) argument 211 quantiles->nines = nines; 212 /* allocate space for quantiles, starting with 0.99 (two nines) */ 213 quantiles->quantiles = calloc(sizeof(long), (nines - 1)); 214 if (!quantiles->quantiles) { 220 int stats_quantiles_free(stats_quantiles_t * quantiles) argument 222 free(quantiles->quantiles); 226 stats_quantiles_calc(stats_container_t * data, stats_quantiles_t * quantiles) argument 249 stats_quantiles_print(stats_quantiles_t * quantiles) argument [all...] |
/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
H A D | test_data.py | 28 quantiles = np.percentile( 31 return list(quantiles)
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/external/ltp/testcases/realtime/func/periodic_cpu_load/ |
H A D | periodic_cpu_load.c | 68 stats_quantiles_t quantiles[THREADS_PER_GROUP * NUM_GROUPS]; variable 199 stats_quantiles_init(&quantiles[i], (int)log10(iterations)); 227 stats_quantiles_calc(&dat[i], &quantiles[i]); 228 stats_quantiles_print(&quantiles[i]); 243 stats_quantiles_free(&quantiles[i]);
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H A D | periodic_cpu_load_single.c | 90 stats_quantiles_t quantiles; local 102 stats_quantiles_init(&quantiles, (int)log10(iterations)); 155 stats_quantiles_calc(&dat, &quantiles); 156 stats_quantiles_print(&quantiles);
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/external/ltp/testcases/realtime/func/hrtimer-prio/ |
H A D | hrtimer-prio.c | 181 stats_quantiles_t quantiles; local 190 if (stats_quantiles_init(&quantiles, (int)log10(iterations))) { 191 printf("Cannot init stat quantiles\n"); 224 stats_quantiles_calc(&dat, &quantiles); 225 stats_quantiles_print(&quantiles);
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/external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
H A D | poisson_lognormal.py | 91 """Use LogNormal quantiles to form quadrature on positive-reals. 124 """Helper to build quantiles.""" 131 quantiles = dist.quantile(edges) 135 quantiles = array_ops.transpose(quantiles, perm) 136 return quantiles 137 quantiles = _compute_quantiles() 140 grid = (quantiles[..., :-1] + quantiles[..., 1:]) / 2. 167 By default, the `grid` is chosen as quantiles o [all...] |
H A D | vector_diffeomixture.py | 117 """Use SoftmaxNormal quantiles to form quadrature on `K - 1` simplex. 176 """Helper to build quantiles.""" 183 quantiles = dist.quantile(edges) 184 quantiles = SoftmaxCentered(event_ndims=1).forward(quantiles) 188 quantiles = array_ops.transpose(quantiles, perm) 189 quantiles.set_shape(_get_final_shape(quadrature_size + 1)) 190 return quantiles 191 quantiles [all...] |
/external/ltp/testcases/realtime/func/gtod_latency/ |
H A D | gtod_latency.c | 235 stats_quantiles_t quantiles; local 253 stats_quantiles_init(&quantiles, (int)log10(iterations)); 349 stats_quantiles_calc(&dat, &quantiles); 350 stats_quantiles_print(&quantiles); 354 stats_quantiles_free(&quantiles);
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/external/ltp/testcases/realtime/func/sched_latency/ |
H A D | sched_latency.c | 76 stats_quantiles_t quantiles; variable 234 stats_quantiles_calc(&dat, &quantiles); 235 stats_quantiles_print(&quantiles); 282 /* use the highest value for the quantiles */ 283 if (stats_quantiles_init(&quantiles, (int)log10(iterations))) { 301 stats_quantiles_free(&quantiles);
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/external/ltp/testcases/realtime/func/pthread_kill_latency/ |
H A D | pthread_kill_latency.c | 121 stats_quantiles_t quantiles; local 126 stats_quantiles_init(&quantiles, (int)log10(ITERATIONS)); 216 stats_quantiles_calc(&dat, &quantiles); 217 stats_quantiles_print(&quantiles);
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/external/tensorflow/tensorflow/contrib/boosted_trees/resources/ |
H A D | quantile_stream_resource.h | 18 #include "tensorflow/contrib/boosted_trees/lib/quantiles/weighted_quantiles_stream.h" 19 #include "tensorflow/contrib/boosted_trees/proto/quantiles.pb.h" // NOLINT 29 boosted_trees::quantiles::WeightedQuantilesStream<float, float>; 106 // Generate quantiles instead of approximate boundaries.
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/external/tensorflow/tensorflow/contrib/boosted_trees/lib/learner/batch/ |
H A D | ordinal_split_handler.py | 29 Weighted quantiles of the feature columns are computed in a distributed fashion 435 """Branch to execute when quantiles are ready.""" 436 quantized_feature = quantile_ops.quantiles([float_column], [], 465 """The subgraph for when the quantiles are ready.""" 466 quantized_feature = quantile_ops.quantiles([], [sparse_column_values], [], 509 """The subgraph for when the quantiles are not ready."""
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/external/tensorflow/tensorflow/contrib/boosted_trees/kernels/ |
H A D | quantile_ops.cc | 20 #include "tensorflow/contrib/boosted_trees/lib/quantiles/weighted_quantiles_stream.h" 23 #include "tensorflow/contrib/boosted_trees/proto/quantiles.pb.h" 72 boosted_trees::quantiles::WeightedQuantilesStream<float, float>; 74 boosted_trees::quantiles::WeightedQuantilesSummary<float, float>; 76 boosted_trees::quantiles::WeightedQuantilesSummary<float, 172 // Generates quantiles on a finalized QuantileStream. 183 // Generates quantiles on a finalized QuantileStream. 193 // Copies quantiles to output list. 855 // Given the calculated quantiles thresholds and input data, this operation
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/external/tensorflow/tensorflow/contrib/boosted_trees/python/kernel_tests/ |
H A D | quantile_ops_test.py | 70 # Multi-dimensional feature that should have the same quantiles as Sparse 0. 215 # By default, use 3 quantiles, 4 boundaries for simplicity. 537 dense_quantiles, _ = quantile_ops.quantiles( 550 _, sparse_quantiles = quantile_ops.quantiles([], [ 575 dense_quantiles, sparse_quantiles = quantile_ops.quantiles(
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