[Day 189] I finished the Car Insurance Fraud MLOps project. Thank you MLOps zoomcamp for teaching me so much!

 Hello :)
Today is Day 189!


A quick summary of today:
  • completed the project and wrote project description



The whole project and all info is on my repo

Here is a project diagram I created using lucid.app


Well ~ today I added some final things to my project. 


First I added terraform code to create GCP buckets for mlflow articats and raw data, and also start a VM.

The last one is kind of cool because when we start the VM, mlflow starts automatically as well because the code to start mlflow is included in the `metadata_startup_script` which is:

I also added the whole terraform init, plan and apply setup in the project's Makefile for easy set and start up. So now the make help looks like:


Next, I added pylint

Following the suggestions from MLOps zoomcamp, I added pylint and fixed a lot of whitespace, and import order lines of code as per pylint's suggestions. 

Next, I tried to add some tests using pytest

I added 5 simple tests to some of the prefect flows. 
The exact tests are:
  • test_read_new_data
  • test_predict
  • test_save_predictions
  • test_batch_model_predict
  • test_local_to_gcs
But there is work to be done for more thorough testing. One thing Mage.ai was nice for is that in every block of code, at the end of it there was a dedicated test place so adding tests was very easy (which is not the case for Prefect)

Next, I added python documentation

I used sphinx back in my placement year with Lloyds Banking Group, and I have been adding small docstrings to my code, so adding a sphinx python docs seemed like a nice little addition. I easily set it up, but I could not get github actions to automate this, so I used an alternative:

Use a new branch where the _build folder (normally not uploaded to github because it has many files) is uploaded and netlify watches that branch and updates the docs

Here is the link to the netlify hosted python docs for the project.


Finally, I added some basic git pre-commit hooks

  • trailing-whitespace
  • end-of-file-fixer
  • check-yaml
  • check-added-large-files
  • pytest-check
  • pylint

These are ran and checked before every commit, and the commit is stopped if one fails.



After this, I started putting things together and writing the README of the project, and creating the project diagram (top of this blog).

There are things to improve, but nevertheless DataTalksClub - THANK YOU SO MUCH! MLOps zoomcamp is such an amazing course, and it taught me amazing tools to build amazing things.

From now on, I will continue learning the ongoing LLM zoomcamp - hopefully I will build an amazing project from there as well!


That is all for today!

See you tomorrow :)

Popular posts from this blog

[Day 198] Transactions Data Streaming Pipeline Porject [v1 completed]

Image
 Hello :) Today is Day 198! A quick summary of today: data streaming pipeline project [v1 done] Here is a link to the project's repo. Well ... I did not know I can do it in a day (~14 hours) after yesterday's issues but here we are. Turns out in order to insert the full (~70 variables with nested/list structure), I need the proper pyspark schema. And yesterday I did not have that and that is why when I was reading data in the kafka producer I was getting NULL in the columns - my schema was wrong. Well today I not only fixed the schema for the 4 variables I had yesterday, but included *all* the variables that come from the Stripe API ~ 70 (for completeness).  When I run docker-compose, the data streams and is input into the postgres db (and is still running). Unfortunately, the free Stripe API for creating realistic transactions has a limit of 25, so every 3 seconds, 25 new transactions are sent to the db. It has been running half the day (since I got that set up) and as I am wr
Read more

[Day 107] Transforming natural language to charts

Image
 Hello :) Today is Day 107! A quick summary of today: created text2chart - transforming natural language to charts [ github ] [ webapp ] I am super sick, but in the around 3 hours of my fever not being high, I managed to study a bit. I was again thinking about creating some nlp project but was stuck on the idea of how to host a model. After looking around I found this article where they create a similar app called chat2vis  and they use codellama. I know codellama is an open source model that I can get from huggingface and I wondered, how did they host it. Turns out - they ask the user to input a huggingface api key, which then allows for querying and generating content. (AWESOME! this is applicable to some of the other PDF chat apps that I have, but I will look to make an app of them later).  My fever eased a bit, and I sat on my chair to do some work ^^ Here is a breakdown of the app. I used streamlit. Also, 2 default datasets during dev: Financial Statements of Major Companies(2009-
Read more

[Day 54] I became a backprop ninja! (woohoo)

Image
 Hello :) Today is Day 54! A quick summary of today: Read through cs231n's neural network lectures [1] [2] [3] Spent 8 hours going over Andrej Karpathy's backprop ninja tutorial After yesterday's confidence boost in doing backprop, I came in today with the intention of becoming of, as Andrej Karpathy calls it, a backprop ninja.  The cs231n NN lectures were the usual about how NN became to be, param initialization, activation functions, loss functions, regularization and optimizers. Nothing out of the ordinary, but still was good to reassure myself of that knowledge. But that was definitely not the main even of today. As I mentioned, I wanted to become (or at least attempt to become) a backprop ninja today. I have watched that particular tutorial twice, the 1st time I had no idea what is going on, the 2nd time I could follow, and now it was the 3rd time - and now, I wanted to participate and actually see the why and the how of the things we have to do, when we do manual back
Read more