Select and score features for causal inferences.
This package has two interfaces:
- score_vocab(): Given text (T), vocab (V), outcome(s) Y, and confound(s) (C), this method will score each element of the vocab according to how well it explains each Y, controlling for all of the C’s.
- evaluate_vocab(): Measure’s the strength of a vocab’s causal effects on Y (controlling for C).
(c) Reid Pryzant 2019 https://cs.stanford.edu/~rpryzant/ May be used and distributed under the MIT license.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size causal_attribution-1.1-py3-none-any.whl (11.0 kB)||File type Wheel||Python version py3||Upload date||Hashes View|
|Filename, size causal_attribution-1.1.tar.gz (9.6 kB)||File type Source||Python version None||Upload date||Hashes View|
Hashes for causal_attribution-1.1-py3-none-any.whl