v0.14.1
Pre-release
Pre-release
Release v0.14.1 - June 2022
- |fix| Use Scipy's
eigh
instead of Numpy's to avoid convergence errornumpy.linalg.LinAlgError: Eigenvalues did not converge
during model uncertainty propagation (#310, #311). - |fix| Refactored the code to avoid the use of
lambda
and nested functions. This enables the pickling DeerLab's objects with Python'spickle
module without errors (#312). - |feature| Added two new utility functions
store_pickle
andread_pickle
that implement pickling with thedill
package to be more robust against potentiallambda
functions defined by the users in scripts (#312). - |fix| Fixed minor bug when printing fit results with many model parameters being frozen. The print command would return an error message (#329).
- |fix| Fixed bug when propagating bootstrapped uncertainty in presence of round-off errors (#325).
- |fix| |enhancement| Multiple minor improvements and corrections in the documentation.