This package implements Supervised Kernel-based Longitudinal Principal Components Analysis (skl-PCA) for predictor dimension reduction in longitudinal models. The software was written by members of the Mindstrong Health Data Science team:
Patrick Staples, PhD
Min Ouyang, PhD
Bob Dougherty, PhD
Greg Ryslik, PhD, FCAS, MAAA
Paul Dagum, MD, PhD
Please contact us at datascience@mindstronghealth.com.
NOTE: If you use this software in your work, please cite the following paper:
Patrick Staples, Min Ouyang, Robert F. Dougherty, Gregory A. Ryslik, and Paul Dagum (2018). Supervised Kernel PCA For Longitudinal Data. http://arxiv.org/abs/1808.06638.
Installation
The easiest way to install the package is via easy_install or pip:
$ pip install sklPCA
This should also take care of the dependencies (numpy, scipy, pandas, and sklearn).
Usage
See examples.py for examples of simulated data, predictor reduction, fitting, and cross-validated model performance.
Copyright & License
Copyright (c) 2018, Mindstrong Health. GNU Affero General Public License.
1 maintainer
Release files for sklPCA 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sklPCA-1.0.0.tar.gz | 19.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sklPCA-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 28.1 kB
Release files / sklPCA-1.0.0.tar.gz
| Download URL | sklPCA-1.0.0.tar.gz |
|---|---|
| Size | 19.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
202f7d677cd6e61f254c99b54505b311ebf4bb392788bac7c587663a4b2d852d
|
|
BLAKE2b-256 checksum How to use checksums |
4004f050de7ab1c96240baa743fcba18929bf2fec9502a6f14e6c7db3d0fe4d2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.23.0 CPython/3.6.4
|
Release files / sklPCA-1.0.0-py3-none-any.whl
| Download URL | sklPCA-1.0.0-py3-none-any.whl |
|---|---|
| Size | 8.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1fbaeab44b9ac91dabc9ef4254d3249516dc1ceec1d012a768c46f420bd1d014
|
|
BLAKE2b-256 checksum How to use checksums |
a9741d222886b6265f44b75a5bf422052389ac47c2154292f5ff3116f1d34980
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.23.0 CPython/3.6.4
|
