update now that pypmc is in
@@ -12,18 +12,13 @@ source:
build:
number: 0
# may need to later add "skip: True # [win]" to disable Windows.
- skip: true # [py<30 or python_impl == "pypy"]
+ skip: true # [py<30 or python_impl == "pypy" or win]
script: {{ PYTHON }} -m pip install . -vv
requirements:
- build:
- # cython project, so need a compiler
- - {{ compiler('c') }}
- - cython
host:
- python
- pip
- - cython
- pypmc
- iminuit
- numpy
@@ -43,21 +38,20 @@ test:
source_files:
- tests/*
requires:
- - cython
- pytest
- - pytest-html
- - pip
about:
home: https://johannesbuchner.github.io/snowline/
license: GPL-3.0-or-later
license_family: GPL
license_file: LICENSE
- summary: Fit and compare complex models reliably and rapidly. Advanced Nested Sampling.
+ summary: Fit and compare models very quickly. MCMC-free.
description: |
Fit and compare models very quickly. MCMC-free.
+ Posterior distributions and corner plots without MCMC? No dealing with convergence criteria?
+
Yes!
Tailored for low-dimensional (d<10) problems with a single mode, this package automatically finds the best fit and uses the local covariance matrix as a Laplace Approximation. Then Importance Sampling and Variational Bayes come in to improve from a single-gaussian approximation to more complex shapes. This allows sampling efficiently in some problems, and provides a estimate for the marginal likelihood.
