TimeSHAP explains Recurrent Neural Network predictions.
active 2023-08-29 → 2026-03-24 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 939 days from 2023-08-29 to 2026-03-24. Pushes: 3 total, peak 2 in a day. Pull requests: 2 total, peak 1 in a day. Issues: 19 total, peak 2 in a day. Comments: 16 total, peak 4 in a day. Stars: 77 total, peak 4 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| JoaoPBSousa | 11 | 1 | 1 | 5 |
| janakmpatel | 3 | 0 | 0 | 1 |
| Chirayu-Tripathi | 3 | 0 | 0 | 1 |
| daniegr | 2 | 0 | 0 | 1 |
| saleiro | 2 | 2 | 0 | 0 |
| bjl2n | 2 | 0 | 0 | 0 |
| AleelA190 | 2 | 0 | 0 | 1 |
| AndreFCruz | 2 | 0 | 1 | 1 |
| ajinkyakulkarni14 | 2 | 0 | 0 | 1 |
| Aziuth | 1 | 0 | 0 | 1 |
| togodot | 1 | 0 | 0 | 0 |
| kevduc | 1 | 0 | 0 | 1 |
| dpellow | 1 | 0 | 0 | 0 |
| OverGreenWaters | 1 | 0 | 0 | 0 |
| Corkman99 | 1 | 0 | 0 | 1 |
| lordegeology | 1 | 0 | 0 | 0 |
| GabrielWeisser96 | 1 | 0 | 0 | 1 |
| girisairam450 | 1 | 0 | 0 | 0 |
| Christian-lyc | 1 | 0 | 0 | 0 |
| drorhunvural | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue#59bjl2n2025-03-28 04:16Order of events based on 'Event -X' label
- Issue#59bjl2n2025-03-21 20:21Order of events based on 'Event -X' label
- Issue comment#48Aziuth2025-02-12 17:02Import Error: cannot import name 'Kernel'
- Pull request#58AndreFCruz2024-09-10 08:49
- Issue comment#56AndreFCruz2024-09-10 08:31Lack support for shap > 0.42.1
- Issue comment#48Corkman992024-09-06 12:06Import Error: cannot import name 'Kernel'
- Issue comment#48drorhunvural2024-08-20 17:22Import Error: cannot import name 'Kernel'
- Issue comment#50GabrielWeisser962024-06-08 18:27UnicodeEncodeError: 'charmap' codec can't encode character '\u2264' in position 30: character maps to <undefined>
- Issue#57girisairam4502024-05-27 08:53Can we use TimeShap for the LSTM forecasting model like stock price prediction (not classification data)?
- Issue comment#50daniegr2024-03-21 11:39UnicodeEncodeError: 'charmap' codec can't encode character '\u2264' in position 30: character maps to <undefined>
- Issue#56daniegr2024-03-20 14:31Lack support for shap > 0.42.1
- Issue#55Christian-lyc2024-03-10 17:40About part of input in the next step is the output of current step
- Issue#54dpellow2024-03-05 22:03outputs at all time steps?
- Issue#53Chirayu-Tripathi2024-01-17 19:13Add LogitLink in timeshapkernel.
- Issue comment#52Chirayu-Tripathi2024-01-17 19:09Function to get expected value
- Issue#52Chirayu-Tripathi2024-01-17 19:09Function to get expected value
- Issue#51togodot2024-01-04 15:55Is timeshap applicable to the DeepAR model of mxnet?
- Issue comment#48kevduc2023-11-22 18:58Import Error: cannot import name 'Kernel'
- Issue#50lordegeology2023-10-30 11:10UnicodeEncodeError: 'charmap' codec can't encode character '\u2264' in position 30: character maps to <undefined>
- Issue#49OverGreenWaters2023-10-24 14:55Circular Importing in ARem_TF.ipynb
- Issue#47AleelA1902023-10-17 09:35BlockRNN for regression
- Issue comment#20AleelA1902023-10-16 09:53Timeshap for regression
- Issue comment#46ajinkyakulkarni142023-10-13 12:39Can we wrap any other model than RNN like for transformer networks?
- Issue comment#46JoaoPBSousa2023-10-13 09:24Can we wrap any other model than RNN like for transformer networks?
- Issue#45JoaoPBSousa2023-10-13 09:18Does the plot demonstrate that when my feature has a high value, the output either increases or decreases, or vice versa?
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 77 stars here means stars gained during the window, not the repo's star count.