This is a package which aims to combine the lighweight web-framework flask
Project description
Flask-River:
This is a repository for an experimental project where I will try to combine the online ML capabilities of the library "River" with the lightweight web framework "Flask".
Example usage:
pip install flaskriver
from flaskriver.Wrapper import FlaskRiver
from flask import Flask
from river import linear_model, metrics
model = linear_model.LogisticRegression()
mse = metrics.MSE()
accuracy = metrics.Accuracy()
metrics = [mse, accuracy]
flaskriver = FlaskRiver(model, metrics, predictions="proba")
app = Flask(__name__)
flaskriver.registerToApp(app)
if __name__ == "__main__":
app.run(host="localhost", debug=True)
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
flaskriver-0.0.3.tar.gz
(2.3 kB
view details)
Built Distribution
File details
Details for the file flaskriver-0.0.3.tar.gz
.
File metadata
- Download URL: flaskriver-0.0.3.tar.gz
- Upload date:
- Size: 2.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bb2980dcc01a988db52a2c239a7ea179df3c1ef4f7f98243c0e099ef67705b2b |
|
MD5 | 06eb9bc5d868d3556116ed641c4865d6 |
|
BLAKE2b-256 | 31846e8a32859172af4f59badfd45fe8d6c0ac8129da366ed10988df1272bdd3 |
File details
Details for the file flaskriver-0.0.3-py2.py3-none-any.whl
.
File metadata
- Download URL: flaskriver-0.0.3-py2.py3-none-any.whl
- Upload date:
- Size: 3.1 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 62c2c3401eb48eba978be40ef92b8c01121e8abb71a8ff6ad3b62003fc0375ee |
|
MD5 | bcae92ed6e8d0432609dbbe38ae8b187 |
|
BLAKE2b-256 | 9beb7fd77249c0971cbd11ed89562ff6144b50bed00c90051b381652fdbb5e64 |