From 34d86759f34abdca9f7769274577e76649a63052 Mon Sep 17 00:00:00 2001 From: Ormorod Date: Fri, 14 Oct 2022 15:10:13 +0100 Subject: [PATCH] set ins and mmodal to F --- pymultinest/run.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/pymultinest/run.py b/pymultinest/run.py index 97f10a1..a69f6c9 100644 --- a/pymultinest/run.py +++ b/pymultinest/run.py @@ -74,8 +74,8 @@ def run(LogLikelihood, n_dims, n_params = None, n_clustering_params = None, wrapped_params = None, - importance_nested_sampling = True, - multimodal = True, const_efficiency_mode = False, n_live_points = 400, + importance_nested_sampling = False, + multimodal = False, const_efficiency_mode = False, n_live_points = 400, evidence_tolerance = 0.5, sampling_efficiency = 0.8, n_iter_before_update = 100, null_log_evidence = -1e90, max_modes = 100, mode_tolerance = -1e90, @@ -112,6 +112,7 @@ def Loglike(cube, ndim, nparams, lnew): @param importance_nested_sampling: If True, Multinest will use Importance Nested Sampling (INS). Read http://arxiv.org/abs/1306.2144 for more details on INS. Please read the MultiNest README file before using the INS in MultiNest v3.0. + If True, then multimodal will be set to False. @param n_params: Total no. of parameters, should be equal to ndims in most cases