Build IRIS Machine Learning Model using Scikit-Learn and deploy using Tornado Web Framework.
cookiecutter https://github.com/sampathweb/cc-iris-api
cd <repo> # cd iris-api
# Install Packages
python env/create_env.py
source activate env/venv # Windows users: activate env/venv
python env/install_packages.py
# Build the Model
python ml_src/build_model.py
# Run the App
python run.py
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Open Browser: http://localhost:9000
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Command Line:
curl -i http://localhost:9000/api/iris/predict -X POST -d '{ "sepal_length": 2, "sepal_width": 5, "petal_length": 3, "petal_width": 4}'
- Jupyter Notebook:
Open new terminal navigate to the new folder iris-api. Start jupyter notebook. Open ml_src -> api_client.ipynb. Test the API.
Api works!
Template from https://github.com/sampathweb/cc-iris-api
H. Chen, A. Gallagher, B. Girod, "Describing Clothing by Semantic Attributes", European Conference on Computer Vision (ECCV), 2012.