Skip to content

Releases: openkim/kliff

Version 0.2.0

21 Jan 04:04
Compare
Choose a tag to compare
  • 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

22 Dec 16:25
Compare
Choose a tag to compare
  • Add GitHub Actions
  • Update README

Version 0.1.6

14 Feb 17:21
Compare
Choose a tag to compare
  • 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

14 Feb 05:57
Compare
Choose a tag to compare
  • 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

24 Aug 19:25
Compare
Choose a tag to compare
  • 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

19 Aug 19:35
Compare
Choose a tag to compare
  • 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() and generate_test_fingerprints() of descriptor to generate_fingerprints() (supporting passing mean and stdev file)
  • rewrite symmetry descriptors to share with KIM driver

Version 0.1.2

28 Jun 05:51
Compare
Choose a tag to compare
  • MPI parallelization for physics-based models
  • reorganize machine learning related files
  • various bug fixes
  • API changes
    • class DataSet renamed to Dataset
    • class Calculator moved to module calculators from module calculator

Version 0.1.1

13 May 16:18
Compare
Choose a tag to compare
  • KLIFF available from PyPI now. Using $pip install kliff to install.

  • Use SW model from the KIM website in tutorial.

  • Format code with black.