🧠Deploying Machine Learning Models inside Docker Containers 🐳

𝗛𝗲𝗹𝗹𝗼 𝗘𝘃𝗲𝗿𝘆𝗼𝗻𝗲, 𝗜 𝗮𝗺 𝗯𝗮𝗰𝗸 𝘄𝗶𝘁𝗵 𝘆𝗲𝘁 𝗮𝗻𝗼𝘁𝗵𝗲𝗿 𝘁𝗮𝘀𝗸 𝗼𝗿 𝗰𝗮𝗻 𝘀𝗮𝘆 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗮𝗯𝗼𝘂𝘁 “𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗗𝗲𝗽𝗹𝗼𝘆𝗶𝗻𝗴 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹𝘀 𝗶𝗻 𝗗𝗼𝗰𝗸𝗲𝗿 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻”

To know more about docker and how to setup on RHEL8. You can refer my previous Blog.

𝐋𝐚𝐮𝐧𝐜𝐡𝐢𝐧𝐠 𝐀 𝐖𝐞𝐛𝐬𝐞𝐫𝐯𝐞𝐫 𝐎𝐧 𝐃𝐨𝐜𝐤𝐞𝐫 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫 | by Parth Patel | Medium

Hope you have referred above blog and understood 𝗗𝗼𝗰𝗸𝗲𝗿.

Now Lets Move and understand about 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠.

Machine Learning :-

Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.

In data science, an algorithm is a sequence of statistical processing steps. In machine learning, algorithms are ‘trained’ to find patterns and features in massive amounts of data in order to make decisions and predictions based on new data. The better the algorithm, the more accurate the decisions and predictions will become as it processes more data.

Some more concepts about 𝗗𝗼𝗰𝗸𝗲𝗿.

Dockerfile :-

Each Docker container starts with a Dockerfile. A Dockerfile is a text file written in an easy-to-understand syntax that includes the instructions to build a Docker image . A Dockerfile specifies the operating system that will underlie the container, along with the languages, environmental variables, file locations, network ports, and other components it needs — and, of course, what the container will actually be doing once we run it.

Docker Image :-

Once you have your Dockerfile written, you invoke the Docker build utility to create an image based on that Dockerfile. Whereas the Dockerfile is the set of instructions that tells build how to make the image, a Docker image is a portable file containing the specifications for which software components the container will run and how.

So What is the Task Requirement :-

1. Pull the Docker container image of CentOS image from DockerHub and create a new container.
2. Install the Python software on the top of docker container
3. In Container you need to copy/create machine learning model which you have created in jupyter notebook

Lets do something more here by creating ML ready image using Dockerfile.

Hope you have already installed and started docker service. if not refer above given blog for reference.

First lets create new workspace in system.

Step 1:-

First of all to make Machine learning model we require some Dataset to work on. In this step clone my github repository where i have already provided required dataset.

command :- git clone <URL>

Step 2:-

Now as we have datasets lets create some python Ml code. Create a new file and write below code

Note :- Create this file in the current directory and not in / directory.

In this Code I have just created a Linear Regression Model to predict Salary of employees on the basis of their Experience. So here I have used scikit-learn library and then from sklearn.linera_model I have used LinearRegression function.

Step 3 :-

Now the next step is to create Dockerfile with some docker commands/instructions to create our own new image.

Note :- Create this Dockerfile in /ml directory.

Step 4 :-

We are almost done with everything and Now we are going to Build the image from the Dockerfile using buid command.

command :- docker build -t salaryapp .

Note :- Here ‘.’ means current directory as we have our Dockerfile in same folder.

Step 5 :-

After Creating Image we have to run it or launch containers using run command.

command :- docker run -it salaryapp

Note :- -it means interactive terminal i.e we are telling our container to give some terminal to interact

So the app finally looks like this so container automatically starts and run code and give us interactive terminal to interact,

As soon as our program finishes the container automatically stops.

GitHub Link :-

the-helel/MlSummer (github.com)

Hope you understood the concept and performed this task with me.

Thank you for reading my article🤗

Keep Learning💫Keep Sharing🤝🏻

Linkedin Profile :-

Parth Patel - MLOPS Summer Internship 2021 - LinuxWorld Informatics Pvt Ltd | LinkedIn

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