Launch machine learning models into production using flask, docker etc.
Launch machine learning models into production using flask, docker etc.
Check out the corresponding medium blog post https://towardsdatascience.com/how-to-easily-deploy-machine-learning-models-using-flask-b95af8fe34d4.
pip install scikit-learn pandas numpy flask
python model.py
python app.py
Download the dataset from here.
docker-compose up --build
curl -X POST -H "Content-Type: application/json" -d @to_predict_json.json http://localhost:8080/predict_price
where
to_predict.jsoncontains:
{"grade":9.0,"lat":37.45,"long":12.09,"sqft_living":1470.08,"waterfront":0.0,"yr_built":2008.0}
or
curl -X POST -H "Content-Type: application/json" -d '{"grade":9.0,"lat":37.45,"long":12.09,"sqft_living":1470.08,"waterfront":0.0,"yr_built":2008.0}' http://localhost:8080/predict_price
Output:
{ "predict cost": 1022545.34768284 }
If you find this code useful in your research, please consider citing the blog:
@misc{sagardeploy, Author = {Abhinav Sagar}, Title = {How to Easily Deploy Machine Learning Models Using Flask}, Year = {2019}, Journal = {Towards Data Science}, }
MIT LicenseCopyright (c) 2019 Abhinav Sagar
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.