Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Importance nested sampling and multimodal should be **False** by default #220

Open
wants to merge 2 commits into
base: master
Choose a base branch
from
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
5 changes: 3 additions & 2 deletions pymultinest/run.py
Original file line number Diff line number Diff line change
Expand Up @@ -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,
Expand Down Expand Up @@ -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
Expand Down