data engineering

Deploying Machine Learning Models in Production with Flask

Introduction After we generate the Machine Learning models and tuning and evaluating them, we would then consider to apply the model into production. The blog here will show the steps to put the models we trained to production environments. python environment setup # install Anaconda yum install libXcomposite libXcursor libXi libXtst libXrandr alsa-lib mesa-libEGL libXdamage mesa-libGL libXScrnSaver download Anaconda from https://www.anaconda.com/distribution/#linux bash ~/Downloads/Anaconda3-2019.10-Linux-x86_64.sh ln -s [python under anaconda/bin/] /usr/bin/python ln -s [pip under anaconda/bin] /usr/bin/pip # install flask and gunicorn source ~/.

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