Releases: bjmorgan/kinisi
Releases · bjmorgan/kinisi
kinisi-0.3.7
Changes
- Bug fix in the diffusion resampling, previously the
p_value
parameter was never updated leading to normal test only being applied once. This has been resolved with this release.
kinisi-0.3.6
Changes
- Return to using the SciPy multivariate normal distribution.
kinisi-0.3.5
Changes
- Remove the condition number control from the matrix module
kinisi-0.3.4a
See kinisi-0.3.4. This release is to trigger the PyPI distribution release.
kinisi-0.3.4
Changes
- Improve stability of likelihood sampling by using hand rolled likelihood function.
- Reverted the removal the
rtol
parameter from thebootstrap
method.
kinisi-0.3.3
Changes
- Improve stability of covariance matrix
- Remove the
rtol
parameter from thebootstrap
method.
kinisi-0.3.2
Changes
- Reverted to using likelihood sampling, which with the fixes to the covariance matrix gives the same results as the bootstrap approach.
kinisi-0.3.1
Changes
- SciPy
1.7.0
is now required on installation
kinisi-0.3.0
Changes
- The variance is now determined from using generalised least squares on a number of random samples from the Gaussian process, this has the benefit of being more accurate and efficient.
- As a result of the above there is no longer a "Sampling Likelihood"
tqdm
bar. - There is now a
rtol
kwarg for thebootstap_GLS
method, this controls thertol
in the call to thescipy.linalg.pinvh
that is used to stabilise the large matrices. - All documentation has been adapted to reflect this methodological change.
kinisi-0.2.2
Changes
- Add the ability to use multiple identical simulations from an
MDAnalysis.Universe
class object.