Pysyncon

Latest version: v1.4.0

Safety actively analyzes 623219 Python packages for vulnerabilities to keep your Python projects secure.

Scan your dependencies

Page 1 of 2

1.4.0

What's Changed
* Added metric methods (APE, MAPE, MAE) to quantify the goodness of fit with the treated unit by sdfordham in https://github.com/sdfordham/pysyncon/pull/45
* Now allow more statistical operations (sum, count, maximum, minimum, variance) on predictors (`predictors_op` argument of `Dataprep`) by sdfordham in https://github.com/sdfordham/pysyncon/pull/46


**Full Changelog**: https://github.com/sdfordham/pysyncon/compare/v1.3.0...v1.4.0

1.3.0

What's Changed
* The implementation of `PenalizedSynth` was flawed and has now been fixed so that it is faithful to the original paper (ref 31), by sdfordham in https://github.com/sdfordham/pysyncon/pull/42


**Full Changelog**: https://github.com/sdfordham/pysyncon/compare/v1.2.0...v1.3.0

1.2.0

What's Changed
* Added `att` method to synthetic control methods that returns the average treatment effect on the treated unit over a given time period by sdfordham in https://github.com/sdfordham/pysyncon/pull/32
* Dataprep string representation added by sdfordham in https://github.com/sdfordham/pysyncon/pull/34
* Small speed ups in numpy array creations by sdfordham in https://github.com/sdfordham/pysyncon/pull/36


**Full Changelog**: https://github.com/sdfordham/pysyncon/compare/v1.1.0...v1.2.0

1.1.0

- Required packages no longer have their versions pinned.
- Documentation has been improved drastically.

1.0.1

- Unpin the install requirements
- Improve the documentation

1.0.0

- Add a method for running Robust Synthetic Control.
- Add a method for running Penalized Synthetic Control.
- Add a method for running Placebo Tests.

Page 1 of 2

© 2024 Safety CLI Cybersecurity Inc. All Rights Reserved.