gender
Predict Gender from Names Using Historical Data (by lmullen)
wru
Who Are You? Bayesian Prediction of Racial Category Using Surname and Geolocation (by kosukeimai)
| gender | wru | |
|---|---|---|
| 2 | 1 | |
| 185 | 127 | |
| - | - | |
| 0.0 | 8.8 | |
| over 2 years ago | 26 days ago | |
| R | R | |
| GNU General Public License v3.0 or later | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gender
Posts with mentions or reviews of gender.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-24.
- Rant...
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How to make a prediction based on strings?
Okay, that makes more sense haha. I’d look into the gender or genderizeR packages. You can use them directly or try to follow their explained methods from those links. Either way, it still might be tough due to the possible ambiguity in certain names in your data, but it should at least give you something to go off of.
wru
Posts with mentions or reviews of wru.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-24.