Releases: WenjieDu/PyGrinder
Releases · WenjieDu/PyGrinder
v0.5 Add rdo() to randomly drop observations
v0.4
In new version 0.4, we adjust APIs of mcar(), mar_logistic(), mnar_x() and mnar_t(), now they only return the corrupted input data with additional missing values, without masks. Users can use new functions fill_and_get_mask() to get corresponding missing mask and fill the missing data with a specified value like 0.
What's Changed
Full Changelog: v0.3...v0.4
v0.3
😎 PyGrinder v0.3
In this release, we fixed some minor bugs and updated docs. Mainly, missingness-creating functions are enabled to only return corrupted X containing NaNs without X_intact and masks by turning the argument return_masks
to False.
What's Changed
- Update README by @WenjieDu in #24
- Enable functions to only return corrupted X with NaNs by @WenjieDu in #26
- Fix a minor bug, and release v0.3 by @WenjieDu in #27
Full Changelog: v0.2...v0.3
v0.2
PyGrinder v0.2
This new version is released with below new features:
- Little's MCAR test;
- switch the license from GPL-v3 to BSD-3-Clause;
What's Changed
- Adding Little's MCAR test by @WenjieDu in #20
- Switch to the BSD-3 license by @WenjieDu in #21
- Adding pytorch as a dependency lib by @WenjieDu in #22
- Updating the docs and adding pytorch into dependencies by @WenjieDu in #23
Full Changelog: v0.1.1...v0.2
v0.1.1
v0.1
What's Changed
- Update README, and add citation info by @WenjieDu in #3
- Adding issue and PR templates by @WenjieDu in #4
- Adding pre-commit config file, and update the docs by @WenjieDu in #5
- Refactor the code and update the doc by @WenjieDu in #6
- Fixing failed MCAR assumption by @WenjieDu in #8
- Fixing failed workflow
Autoreply to Issues Opened for PyCorruptor
by @WenjieDu in #10 - Update the figure links by @WenjieDu in #11
- Update the title by @WenjieDu in #12
- Rename the project as PyGrinder by @WenjieDu in #13
- Renaming PyCorruptor as PyGrinder by @WenjieDu in #14
- Releasing v0.1 by @WenjieDu in #15
Full Changelog: v0.0.4...v0.1