- Pull the Docker container image of CentOS image from DockerHub and create a new container.
- Install the Python software on the top of the docker container.
- In Container, you need to copy/create a machine learning model which you have created in jupyter notebook.
step 1:We have collected Data and formed a dataset.
Step 2: Prepare an ML model of linear regression on Jupyter NoteBook
Step 3: Check if the Docker is available
We use the command: docker info
Step 4: Download CentOS latest version image from Docker Hub
We use the command: docker pull centos:latest
Step 5: Create a Container with the help of CentOS image
We use the command: docker run -i -t — name=<name> centos:latest
Step 6: Download Python in the Container
We use the command: yum install python3
Step 7: Install the necessary libraries for the Python
pip3 install NumPy
pip3 install pandas
pip3 install scikit-learn
Step 8: Copy the ML Model from the host to the container
Copy the model and .csv file from the host machine to the guest machine
We use the command:
docker cp <model_name> <container_name>:/<model_name>
Step 9: Create a Model file in the Container
Open a vi editor and make a file with .py extension.
Step 10: Run the model on python
To run the code for test we use the command: python3 model.py