Releases: openkim/kliff
Releases · openkim/kliff
Version 0.2.0
- add type hint for all codes
- rewrite model and parameter modules to simplify them
- add more docstring for undocumented class and functions
Version 0.1.7
- Add GitHub Actions
- Update README
Version 0.1.6
- bug fix of version 0.1.5 in which a *.h file is forgotten to be included in the PyPI sdist
Version 0.1.5
- add neighborlist utility, making NN model independent on kimpy
- add calculator to deal with multiple species for NN model
- update dropout layer to be compatible with the pytorch1.3
Version 0.1.4
-
add support for the geodesic Levenberg-Marquardt minimization algorithm
-
add command line tool
model
to inquire available parameters of KIM model
Version 0.1.3
- add RMSE and Fisher information analyzers
- allow configuration weight for ML models
- add write optimizer state dictionary for ML models
- combine functions
generate_training_fingerprints()
andgenerate_test_fingerprints()
of descriptor togenerate_fingerprints()
(supporting passing mean and stdev file) - rewrite symmetry descriptors to share with KIM driver
Version 0.1.2
- MPI parallelization for physics-based models
- reorganize machine learning related files
- various bug fixes
- API changes
- class
DataSet
renamed toDataset
- class
Calculator
moved to modulecalculators
from modulecalculator
- class
Version 0.1.1
-
KLIFF available from PyPI now. Using
$pip install kliff
to install. -
Use SW model from the KIM website in tutorial.
-
Format code with
black
.