Skip to main content

A Python library for global and regional effects

Project description

Effector

Documenation | Global Effect | Regional Effect | API | Tutorials

Effector is a python package for global and regional effect analysis.


using effector


Installation

Effector is compatible with Python 3.7+. We recommend to first create a virtual environment with conda:

conda create -n effector python=3.11
conda activate effector

and then install Effector via pip:

pip install effector

If you want to also run the Tutorial notebooks, add some more dependencies to the environment:

pip install -r requirements-dev.txt

Methods and Publications

Methods

Effector implements the following methods:

Method Global Effect Regional Effect Paper
PDP PDP RegionalPDP PDP, ICE, GAGDET-PD
d-PDP DerPDP RegionalDerPDP d-PDP, d-ICE
ALE ALE RegionalALE ALE, GAGDET-ALE
RHALE RHALE RegionalRHALE RHALE, DALE
SHAP-DP ShapDP RegionalShapDP SHAP, GAGDET-DP

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

effector-0.0.273.tar.gz (9.4 MB view details)

Uploaded Source

Built Distribution

effector-0.0.273-py3-none-any.whl (59.9 kB view details)

Uploaded Python 3

File details

Details for the file effector-0.0.273.tar.gz.

File metadata

  • Download URL: effector-0.0.273.tar.gz
  • Upload date:
  • Size: 9.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for effector-0.0.273.tar.gz
Algorithm Hash digest
SHA256 26152f2a629394ae547c5bc063d94773235f6afba1e7311964bfd6bacf37e46b
MD5 37f8ac47fef486f064226f1f268feaa5
BLAKE2b-256 c63b55943d3c88519a0349893b240b185719cd0d0fa5e7c620247bd50d678ac6

See more details on using hashes here.

File details

Details for the file effector-0.0.273-py3-none-any.whl.

File metadata

  • Download URL: effector-0.0.273-py3-none-any.whl
  • Upload date:
  • Size: 59.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for effector-0.0.273-py3-none-any.whl
Algorithm Hash digest
SHA256 ccdaa0277448d9338aa205f51209d7b5c1228542053fecfb997707df9363e69f
MD5 efc94cb26450bb43a6faf145378951e2
BLAKE2b-256 ded511fb7d3dcbde156dca7a6b850c80e32d9790183d517b51df88af8c347a52

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page