DevOps Articles

Running Machine Learning Applications on Docker

As the projects about Machine Learning start to become widespread, there are more and more innovations about the practices related to how these projects are transferred to live environments. In this context, with this article, I will make an example of how to transfer a machine learning model to the living environment in the fastest and most effective way of using container infrastructures.

Our model that will be the subject of this article is the same model I used in my previous article, so it is the same as in the previous article to better understand the example in this article.

Now we can start the development of the web page that will find the sentiment of the text that will be sent as input to this model and return.

Let's write your python code that will use this form and run our model, find the sentence of the text sent from the page above, and return the answer to the form.