/dports/math/py-hdbscan/hdbscan-0.8.27/hdbscan/ |
H A D | _hdbscan_reachability.pyx | 45 core_distances = np.partition(distance_matrix, 49 core_distances = np.sort(distance_matrix, 55 stage1 = np.where(core_distances > distance_matrix, 56 core_distances, distance_matrix) 57 result = np.where(core_distances > stage1.T, 58 core_distances.T, stage1.T).T 119 result = np.where(core_distances > stage1.T, 120 core_distances.T, stage1.T).T 138 result = np.where(core_distances > stage1.T, 139 core_distances.T, stage1.T).T [all …]
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H A D | validity.py | 107 core_distances = all_points_core_distance(distance_matrix.copy(), d=d) 108 core_dist_matrix = np.tile(core_distances, (core_distances.shape[0], 1)) 113 return result, core_distances 315 core_distances = {} 330 mr_distances, core_distances[ 359 core_distances[i], core_distances[j],
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H A D | prediction.py | 103 self.core_distances = self.tree.query(data, k=min_samples)[0][:, -1] 147 core_distances, min_samples): argument 176 neighbor_core_distances = core_distances[neighbor_indices] 197 core_distances, min_samples): argument 232 core_distances, 256 neighbor_distances, core_distances, argument 297 core_distances, 402 clusterer.prediction_data_.core_distances, 497 clusterer.prediction_data_.core_distances, 568 clusterer.prediction_data_.core_distances,
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H A D | robust_single_linkage_.py | 61 core_distances = tree.query(X, k=k)[0][:, -1].copy(order='C') 62 min_spanning_tree = mst_linkage_core_vector(X, core_distances, dist_metric, 85 core_distances = tree.query(X, k=k)[0][:, -1].copy(order='C') 86 min_spanning_tree = mst_linkage_core_vector(X, core_distances, dist_metric,
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H A D | _hdbscan_linkage.pyx | 57 np.ndarray[np.double_t, ndim=1, mode='c'] core_distances, 103 current_core_distances = (<np.double_t *> core_distances.data) 127 core_value = core_distances[j]
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H A D | hdbscan_.py | 202 core_distances = tree.query(X, k=min_samples, 206 min_spanning_tree = mst_linkage_core_vector(X, core_distances, dist_metric, 239 core_distances = tree.query(X, k=min_samples, 244 min_spanning_tree = mst_linkage_core_vector(X, core_distances, dist_metric,
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H A D | flat.py | 348 prediction_data.core_distances, 465 prediction_data.core_distances,
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/dports/devel/hwloc/hwloc-1.11.13/tests/ |
H A D | hwloc_topology_dup.c | 18 float node_distances[9], core_distances[36]; in main() local 30 core_distances[i*6+j] = (i == j ? 4.f : 8.f); in main() 38 hwloc_topology_set_distance_matrix(oldtopology, HWLOC_OBJ_CORE, 6, core_indexes, core_distances); in main()
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H A D | hwloc_topology_restrict.c | 70 float node_distances[9], core_distances[36]; in main() local 82 core_distances[i*6+j] = (i == j ? 4.f : 8.f); in main() 88 hwloc_topology_set_distance_matrix(topology, HWLOC_OBJ_CORE, 6, core_indexes, core_distances); in main()
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/dports/net/mpich/mpich-3.4.3/src/pm/hydra2/libhydra/topo/hwloc/hwloc/tests/hwloc/ |
H A D | hwloc_topology_dup.c | 20 hwloc_uint64_t node_distances[9], core_distances[36]; in main() local 41 core_distances[i*6+j] = (i == j ? 4 : 8); in main() 43 err = hwloc_distances_add(oldtopology, 6, cores, core_distances, in main()
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H A D | hwloc_topology_restrict.c | 109 hwloc_uint64_t node_distances[9], core_distances[36]; in main() local 131 core_distances[i*6+j] = (i == j ? 4 : 8); in main() 133 err = hwloc_distances_add(topology, 6, cores, core_distances, in main()
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/dports/net/mpich/mpich-3.4.3/modules/hwloc/tests/hwloc/ |
H A D | hwloc_topology_dup.c | 20 hwloc_uint64_t node_distances[9], core_distances[36]; in main() local 41 core_distances[i*6+j] = (i == j ? 4 : 8); in main() 43 err = hwloc_distances_add(oldtopology, 6, cores, core_distances, in main()
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H A D | hwloc_topology_restrict.c | 109 hwloc_uint64_t node_distances[9], core_distances[36]; in main() local 131 core_distances[i*6+j] = (i == j ? 4 : 8); in main() 133 err = hwloc_distances_add(topology, 6, cores, core_distances, in main()
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/dports/net/mpich/mpich-3.4.3/src/pm/hydra/tools/topo/hwloc/hwloc/tests/hwloc/ |
H A D | hwloc_topology_dup.c | 20 hwloc_uint64_t node_distances[9], core_distances[36]; in main() local 41 core_distances[i*6+j] = (i == j ? 4 : 8); in main() 43 err = hwloc_distances_add(oldtopology, 6, cores, core_distances, in main()
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H A D | hwloc_topology_restrict.c | 109 hwloc_uint64_t node_distances[9], core_distances[36]; in main() local 131 core_distances[i*6+j] = (i == j ? 4 : 8); in main() 133 err = hwloc_distances_add(topology, 6, cores, core_distances, in main()
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/dports/devel/hwloc2/hwloc-2.5.0/tests/hwloc/ |
H A D | hwloc_topology_dup.c | 20 hwloc_uint64_t node_distances[9], core_distances[36]; in main() local 47 core_distances[i*6+j] = (i == j ? 4 : 8); in main() 53 err = hwloc_distances_add_values(oldtopology, handle, 6, cores, core_distances, 0); in main()
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H A D | hwloc_topology_restrict.c | 109 hwloc_uint64_t node_distances[9], core_distances[36]; in main() local 137 core_distances[i*6+j] = (i == j ? 4 : 8); in main() 143 err = hwloc_distances_add_values(topology, handle, 6, cores, core_distances, 0); in main()
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/cluster/ |
H A D | _optics.py | 339 core_distances=self.core_distances_, 386 core_distances = np.empty(n_samples) 387 core_distances.fill(np.nan) 394 core_distances[sl] = neighbors.kneighbors(X[sl], min_samples)[0][:, -1] 395 return core_distances 623 def cluster_optics_dbscan(*, reachability, core_distances, ordering, eps): argument 651 n_samples = len(core_distances) 655 near_core = core_distances <= eps
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/dports/net/mpich2/mpich2-1.5/src/pm/hydra/tools/topo/hwloc/hwloc/tests/ |
H A D | hwloc_topology_restrict.c | 70 float node_distances[9], core_distances[36]; in main() local 82 core_distances[i*6+j] = (i == j ? 4.f : 8.f); in main() 88 hwloc_topology_set_distance_matrix(topology, HWLOC_OBJ_CORE, 6, core_indexes, core_distances); in main()
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/cluster/ |
H A D | plot_optics.py | 48 core_distances=clust.core_distances_, 54 core_distances=clust.core_distances_,
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