Machine Learning Model inside Docker Container

Task Description:

• Pull an image and launch an container.
• Install python inside docker container.
• copy/create a machine learning model.

Step 1: We will start by creating a model

Step2: Now , we will check if docker is installed or not.

If not installed , we can use this command to install docker

yum install docker-ce

Step3: Launching container

To download an image use command

docker pull centos:latest

To launch a container use following command

docker run -it --name ML centos:latest

you can also check if container is launched using command

docker ps

Step:4 Installing python inside docker container

To install python inside our container the command used is

yum install python3

We will also install some libraries that will be required for our Machine learning code to run

pip3 install numpy pandas scikit-learn

Step:5 Copying Machine Learning code inside container

using this command we can copy files from base OS to container.

Here, salary.pk1 and SalaryData.csv are the files which we want to copy and ML is the name of container and /codes is the location where we want our files to get stored.

Step:6 Creating a python file to run our model

we will create a python file

vi model.py

Now, finally we will run our model and see if it works

THANK YOU!!!!