stepshift
Stepshift is a package that implements the stepshifting algorithm described in appendix A of
Hegre et al. (2020).
Installation
Stepshift is currently only distributed as a source distribution, which means that the end user needs a C compiler. This means that OSX users need to have Xcode installed on their system before proceeding. In addition, the numpy requirement is quite strict, since stepshift uses the Numpy C API via Cython.
Install by running:
pip install stepshift
Usage
Stepshift has a module called stepshift.views which contains a class called
StepshiftedModels. This class wraps the stepshifting procedure, exposing a
simple, Scikit-Learn-like (but not equivalent) API. The model takes three
arguments: A scikit learn estimator, a list containing integers, which denotes
the steps, and a string variable which is the name of the dependent variable:
from sklearn.linear_model import LogisticRegression
from stepshift.views import StepshiftedModels
mdl = StepshiftedModels(LogisticRegression(),[1,2,3,4,5,6,7,8],"outcome")
1 maintainer
Metadata
1 maintainer
Release files for stepshift 2.2.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| stepshift-2.2.6.tar.gz | 166.2 kB | Without provenance | Details |
Release files / stepshift-2.2.6.tar.gz
| Download URL | stepshift-2.2.6.tar.gz |
|---|---|
| Size | 166.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
398681a585c44eb056612b009ad0e3f6d48eb6a9be36f7fc911c8c0dd91af048
|
|
BLAKE2b-256 checksum How to use checksums |
c8fa29c737319bffc9defb1d86a2d0a4caa8b2780ace0abcf11ee2f5ee1d8126
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.8.18
|
Security for stepshift 2.2.6
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
