Feature extraction from text fields using text-embedding large language models
active 2024-05-16 → 2024-08-01 (UTC)
Complete coverage26,584 / 26,584 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-08-26 (UTC)
Events
57
Pushes
34
Pull requests
4
Issues
11
Stars
0
Forks
0
Activity over time
Daily event counts in the loaded window
Line chart, 78 days from 2024-05-16 to 2024-08-01. Pushes: 34 total, peak 10 in a day. Pull requests: 4 total, peak 4 in a day. Issues: 11 total, peak 5 in a day. Comments: 6 total, peak 2 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| asmahani | 55 | 34 | 4 | 6 |
Recent activity
Latest issues, pull requests and releases
- Issue#14asmahani2024-08-01 05:12Alex feedback re manuscript
- Issue comment#4asmahani2024-06-18 19:05add a basic implementation of spherical k-means
- Issue#4asmahani2024-06-18 19:05add a basic implementation of spherical k-means
- Pull request#18asmahani2024-06-18 19:01
- Pull request#18asmahani2024-06-18 19:01
- Issue comment#17asmahani2024-06-18 19:00Spherical kmeans
- Pull request#17asmahani2024-06-18 18:59
- Pull request#17asmahani2024-06-18 18:29
- Issue comment#4asmahani2024-06-17 05:12add a basic implementation of spherical k-means
- Issue comment#9asmahani2024-05-25 03:26Extend LLM support beyond OpenAI
- Issue#9asmahani2024-05-25 03:26Extend LLM support beyond OpenAI
- Issue comment#4asmahani2024-05-25 01:54add a basic implementation of spherical k-means
- Issue#7asmahani2024-05-25 00:46Edit readme file
- Issue#8asmahani2024-05-25 00:46Edit tutorial notebook
- Issue#8asmahani2024-05-25 00:45Edit tutorial notebook
- Issue#16asmahani2024-05-25 00:44Add laplace smoothing to FeatureExtractor_BinaryClassifier to go with logit=True option
- Issue#16asmahani2024-05-24 21:15Add laplace smoothing to FeatureExtractor_BinaryClassifier to go with logit=True option
- Issue#10asmahani2024-05-24 21:11use logit of predicted probabilities in FeatureExtractor_Classifier
- Issue comment#12asmahani2024-05-21 15:59To-do list for manuscript
- Issue#12asmahani2024-05-21 15:58To-do list for manuscript
- Issue#15asmahani2024-05-21 15:58To-do for journal submission
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.