Training a ML model inside Docker Container.

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??  This article is based on TASK-01 of Machine Learning program running under  Linux World MLOps Summer Internship 2021 ??

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 copy the date-set file from host to docker container.

?? Install required libraries required to load ML model

?? Create and Run the python code for prediction.

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STEP : 1

• Installing Docker on RHEL8

??Install docker using “yum install docker-ce” . To check detail about this step check the google Doc link given below:

• Checking status of docker whether it is running or not:-

??“systemctl status docker” command shows the status of docker.

• Pull the Docker container image of CentOS image from DockerHub and create a new container

??“docker pull centos:8” is used for pulling image.

??“docker run -it __name CONTAINERNAME centos:latest” for launching container.

STEP : 2

• Install the Python software on the top of docker container

??python can be installed using “yum install python3” command.

STEP : 3

• Copying the data set (.csv file) from local host to docker container using which we train our ML model.

??“docker cp <src> <container_name>:<dest>” is used for copying from local host to container.

STEP : 4

• Install required libraries required to load ML model :-

??All required libraries can be installed from the following command: pip3 install <name of library>

STEP : 5

• Finally create python code for prediction.

??Below is the python code for our ML model :-

??The Output of our Machine Learning Model :

Getting above output is the main task of our ML model. (Y=c+wX)

I hope this article helps you in learning something new . I tried my level best to justify each and every point of task .

Thanks For your time for reading ??