Searched refs:importance_factor (Results 1 – 3 of 3) sorted by relevance
| /dports/math/openturns/openturns-1.18/python/src/ |
| H A D | SimulationSensitivityAnalysis_doc.i.in | 44 The importance factors, given in :eq:`importance_factor`, are evaluated from the
54 :label: importance_factor
66 :eq:`importance_factor` (only uniform weights over the realizations
118 the definition :eq:`importance_factor` for each threshold *s* or probability
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| /dports/math/py-networkx/networkx-2.6.3/networkx/algorithms/ |
| H A D | similarity.py | 1203 importance_factor=0.9, argument
1310 G, s_indx, t_indx, importance_factor, max_iterations, tolerance
1325 importance_factor=0.9, argument
1354 return importance_factor * avg_sim(list(product(Gadj[u], Gadj[v])))
1385 importance_factor=0.9, argument
1472 newsim = importance_factor * ((adjacency_matrix.T @ prevsim) @ adjacency_matrix)
1494 importance_factor=0.9, argument
1517 importance_factor,
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| /dports/math/py-networkx/networkx-2.6.3/networkx/algorithms/tests/ |
| H A D | test_similarity.py | 606 actual = simrank_similarity(G, importance_factor=0.8)
635 actual = simrank_similarity(G, importance_factor=0.8, source=0)
672 actual = simrank_similarity(G, importance_factor=0.8, source="Univ")
695 actual = simrank_similarity(G, importance_factor=0.8, source=0, target=2)
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