GitHub / tidymodels/filtro committers
Tidy tools to apply filter-based supervised feature selection methods
Last synced: 9 months ago
Total Commits: 107
Total Committers: 4
Total Bot Commits: 0
Total Bot Committers: 0
Avg Commits per committer: 26.75
Development Distribution Score (DDS): 0.196
Total Committers: 4
Total Bot Commits: 0
Total Bot Committers: 0
Avg Commits per committer: 26.75
Development Distribution Score (DDS): 0.196
Commits in the past year: 107
Committers in the past year: 4
Bot Commits in the past year: 0
Bot Committers in the past year: 0
Avg Commits per committer in the past year: 26.75
Development Distribution Score (DDS) in the past year: 0.196
Committers in the past year: 4
Bot Commits in the past year: 0
Bot Committers in the past year: 0
Avg Commits per committer in the past year: 26.75
Development Distribution Score (DDS) in the past year: 0.196
More repo stats: https://repos.ecosyste.ms/hosts/GitHub/repositories/tidymodels/filtro
View commits: View all commits
JSON API: https://commits.ecosyste.ms/api/v1/hosts/GitHub/repositories/tidymodels%2Ffiltro
| Name | Commits | |
|---|---|---|
| Frances Lin | f****c@g****m | 86 |
| Max Kuhn | m****n@g****m | 11 |
| Frances Lin | 3****c@u****m | 7 |
| Emil Hvitfeldt | e****t@g****m | 3 |
Excludes empty and merge commits.
| Name | Commits | |
|---|---|---|
| Frances Lin | f****c@g****m | 86 |
| Max Kuhn | m****n@g****m | 11 |
| Frances Lin | 3****c@u****m | 7 |
| Emil Hvitfeldt | e****t@g****m | 3 |
Committers in the past year are calculated by looking at the last 365 days of commits. Excludes empty and merge commits.