https://github.com/nicrie/xmca - Release 1.4.2

• remove overly restrictive cartopy version constrain
• rotation now raises an error if it not does converge

- Python
Published by nicrie almost 4 years ago

https://github.com/nicrie/xmca - Release 1.4.1

• fix #25
• some minor updates in Readme

- Python
Published by nicrie over 4 years ago

https://github.com/nicrie/xmca - Release 1.4.0

more significance testing! added an iterative permutation approach based on Winkler et al. 2020

- Python
Published by nicrie over 4 years ago

https://github.com/nicrie/xmca - Release 1.3.0

Release dedicated to help assessing mode significance: * North's Rule of thumb * Rule N * Bootstrap

- Python
Published by nicrie over 4 years ago

https://github.com/nicrie/xmca - Release 1.2.0

New in this release * much more efficient algorithm in terms of both time and memory * significance testing via Rule N * increased stability of complex PCA/MCA by providing flexible period parameter

- Python
Published by nicrie over 4 years ago

https://github.com/nicrie/xmca - Release 1.1.0

• add variance method
• truncate method now works correctly
• bugfix of incorrect pcs/eofs 'eigen' scaling

- Python
Published by nicrie over 4 years ago

https://github.com/nicrie/xmca - Release 1.0.4

• bug fix of wrong results when predicting coslat weighted PCs

- Python
Published by nicrie over 4 years ago

https://github.com/nicrie/xmca - Release 1.0.3

• resolve bugfix in predict
• resolve bugfix in hom/het patterns which were introduced after the upgrade from 0.x to 1.x
• add test cases, respectively, to avoid similar issues in the future

- Python
Published by nicrie over 4 years ago

https://github.com/nicrie/xmca - Release 1.0.2

• resolve missing API in docs

- Python
Published by nicrie over 4 years ago

https://github.com/nicrie/xmca - Release 1.0.1

• consistent storing location of plots
• add CI workflow

- Python
Published by nicrie over 4 years ago

https://github.com/nicrie/xmca - Release 1.0.0

New in release 1.0.0

• method predict allows to project new, unseen data to obtain the corresponding PCs (works for standard, rotation and complex)
• more efficient storing/loading of files; Unfortunately, this and the point above made it necessary to change the code considerably. As a consequence, loading models which were performed and saved using an older package version (0.x.y) is not supported.
• add method to summarize performed analysis (summary)
• add method to return input fields
• improve docs (resolves #7)
• correct and consistent use of definition of loadings
• some bugfixes (e.g. resolves #12 )

- Python
Published by nicrie over 4 years ago

https://github.com/nicrie/xmca - version 0.3.3

Release 0.3.3 - add arXiv pre-print for complex rotated MCA

- Python
Published by nicrie almost 5 years ago

https://github.com/nicrie/xmca - version 0.3.2

Release 0.3.2 - hotfix wrong file to version path which caused a direct import xmca to fail

- Python
Published by nicrie almost 5 years ago

https://github.com/nicrie/xmca - version 0.3.1

fixed an issue with wrong versioning

- Python
Published by nicrie almost 5 years ago

https://github.com/nicrie/xmca - version 0.2.1

- Python
Published by nicrie almost 5 years ago

https://github.com/nicrie/xmca - version 0.3.0

Release 0.3.0 - exponential time series extension is now vectorized -> much faster! - API reference section in the documentation is more neat

- Python
Published by nicrie almost 5 years ago

https://github.com/nicrie/xmca - version 0.2.2

mostly documentation update & release to connect with zenodo

- Python
Published by nicrie almost 5 years ago