raise exception if model fails

docs/conf.py

@@ -25,7 +25,7 @@
 author = 'Minas Karamanis'
 
 # The full version, including alpha/beta/rc tags
-release = '2.3.0'
+release = '2.3.1'
 
 # -- General configuration ---------------------------------------------------
 

docs/index.rst

@@ -78,9 +78,8 @@ Getting Started
 Citation
 ========
 
-Please cite `Karamanis & Beutler (2020)
-<https://arxiv.org/abs/2002.06212>`_ if you find this code useful in your
-research. The BibTeX entry for the paper is::
+Please cite the following papers if you found this code useful in your
+research::
 
     @article{karamanis2021zeus,
              title={zeus: A Python implementation of Ensemble Slice Sampling for efficient Bayesian parameter inference},
@@ -107,6 +106,10 @@ Copyright 2019-2021 Minas Karamanis and contributors.
 Changelog
 =========
 
+**2.3.1 (03/08/21)**
+
+- Raise exception if model fails.
+
 **2.3.0 (25/02/21)**
 
 - Added ``sample`` method which advances the chain as a generator.

setup.py

@@ -8,7 +8,7 @@
 
 setuptools.setup(
     name="zeus-mcmc",
-    version="2.3.0",
+    version="2.3.1",
     author="Minas Karamanis",
     author_email="minaskar@gmail.com",
     description="zeus: Lightning Fast MCMC",

zeus/__init__.py

@@ -1,22 +1,20 @@
 __bibtex__ = """
-@article{zeus,
-        title={zeus: A Python Implementation of the Ensemble Slice Sampling method},
-        author={Minas Karamanis and Florian Beutler},
-        year={2021},
-        note={in prep}
-    }
+@article{karamanis2021zeus,
+             title={zeus: A Python implementation of Ensemble Slice Sampling for efficient Bayesian parameter inference},
+             author={Karamanis, Minas and Beutler, Florian and Peacock, John A},
+             journal={arXiv preprint arXiv:2105.03468},
+             year={2021}
+            }
 
-@article{ess,
-      title={Ensemble Slice Sampling},
-      author={Minas Karamanis and Florian Beutler},
-      year={2020},
-      eprint={2002.06212},
-      archivePrefix={arXiv},
-      primaryClass={stat.ML}
-}
+    @article{karamanis2020ensemble,
+             title = {Ensemble slice sampling: Parallel, black-box and gradient-free inference for correlated & multimodal distributions},
+             author = {Karamanis, Minas and Beutler, Florian},
+             journal = {arXiv preprint arXiv: 2002.06212},
+             year = {2020}
+            }
 """
 
-__version__ = "2.3.0"
+__version__ = "2.3.1"
 __url__ = "https://zeus-mcmc.readthedocs.io"
 __author__ = "Minas Karamanis"
 __email__ = "minaskar@gmail.com"

zeus/fwrapper.py

@@ -20,4 +20,15 @@ def __init__(self, f, args, kwargs):
         self.kwargs = {} if kwargs is None else kwargs
 
     def __call__(self, x):
-        return self.f(x, *self.args, **self.kwargs)
+        try:
+            return self.f(x, *self.args, **self.kwargs)
+        except:  # pragma: no cover
+            import traceback
+
+            print("zeus: Exception while calling your likelihood function:")
+            print("  params:", x)
+            print("  args:", self.args)
+            print("  kwargs:", self.kwargs)
+            print("  exception:")
+            traceback.print_exc()
+            raise