Deploying Machine Learning model inside Docker container
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Task Description 📄
👉 Pull the Docker container image of CentOS image from DockerHub and create a new container
👉 Install the Python software on the top of docker container
👉 In Container you need to copy/create machine learning model which you have created in jupyter notebook
Let’s Start :
1. Pull Image from Docker Hub:
command : docker pull centos:latest
2. Launch Container using above Image :
command : docker run -it — name container_name centos:latest
3. Install Python interpreter :
command : yum install python3 -y
4. Install numpy module
command : pip3 install numpy
5. Install sklearn module
command: pip3 install sklearn
6. Copy file to docker container :
command : docker cp source_path to container_is/destination_path
7. Check File copied or not :
8. Run Model Regression python file :
command : python3 file_name.py
