Shapash¶
Uses Shap or Lime backends to compute the relative contributions of inputs to machine learning models. The focus of this package is on generating plots and reports from the explanations.
Logo |
|
|---|---|
Website |
|
Repository |
|
Byline |
Shapash makes Machine Learning models transparent and understandable by everyone |
License |
Apache 2.0 |
Project age |
2 years 6 months |
Backers |
MAIF (Creator and maintainer) |
Lastest News (2022-09-06) |
v2.1.0 : Support to Python3.10 Add support for Python 3.10, dropping support for Python 3.6. Upgrade of dependent libraries. more |
Size score (1 to 10, higher is better) |
4.0 |
Trend score (1 to 10, higher is better) |
9.0 |
Education Resources¶
URL |
Resource Type |
Description |
|---|---|---|
Documentation |
Official project documentation. |
Git Commit Statistics¶
Statistics computed using Git data through November 30, 2022.
Statistic |
Lifetime |
Last 12 Months |
|---|---|---|
Commits |
8,331 |
2,056 |
Lines committed |
4,267,553 |
1,523,376 |
Unique committers |
45 |
18 |
Core committers |
10 |
7 |
Similar Projects¶
Project |
Size Score |
Trend Score |
Byline |
|---|---|---|---|
3.75 |
8.25 |
Algorithms for monitoring and explaining machine learning models. |
|
2.0 |
7.5 |
Generate Diverse Counterfactual Explanations for any machine learning model. |
|
4.75 |
5.75 |
A game theoretic approach to explain the output of any machine learning model. |