nyc_traffic_flask
MAPIE
| nyc_traffic_flask | MAPIE | |
|---|---|---|
| 2 | 1 | |
| 2 | 1,155 | |
| - | 1.9% | |
| 7.4 | 9.7 | |
| 9 months ago | 3 days ago | |
| Python | Jupyter Notebook | |
| - | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
nyc_traffic_flask
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Where to incorporate MLops into my project?
I have an on/off data science project that uses ML to predict traffic. Lately, I've been wanting to practice more of the Software dev side of data science like DE and MLops. I'm wondering if there's any ways to potentially inject elements of MLops into said project, just for the sake of practice.
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I made a Flask app that predicts traffic in an NYC Street.
https://github.com/benduong2001/nyc_traffic_flask Lemme know if it works.
MAPIE
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How to calculate confidence level of a regression model?
Did some research and apparently there are number of ways and regression seems to be quite hard and no straightforward answer. Came across MAPIE (https://github.com/scikit-learn-contrib/MAPIE) which predicts a upper and lower range of values.. how can I then calculate the confidence for a given prediction?
What are some alternatives?
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