Welcome to Markov SDK

Getting started with Markov SDK.

MarkovML is an AI platform that offers automated GenAI solutions for your specific needs. Visit the website to learn more about our AI solutions and offerings.

What is Markov SDK?

MarkovML offers both No-code (web UI) and low-code (Markov SDK) AI solutions to perform various machine learning tasks.

Markov SDK is the CLI toolkit with low-code GenAI solutions. It is a platform for data scientists, ML engineers, students, enthusiasts, and anyone else to supercharge their machine-learning projects.

Why use Markov SDK?

With Markov SDK, you can understand your data, track model training experiments, evaluate models, and explain outcomes—all while keeping your local data secure. Accelerate your ML journey from conception to production, delivering superior value to your business.

How to use this developer documentation?

This documentation primarily focuses on using the Markov SDK. It begins with a simple setup guide and progresses to registering datasets, building custom models, tracking experiments, and evaluating models. Additionally, it also covers MarkovML UI features like Workflows.

For the best understanding, follow the documentation sequentially and refer to how-tos and recipes as needed.

Introduction to Markov SDK

Models are a central aspect of any machine-learning application. With Markov SDK, you can register your different models (organized into Projects) and track how they perform on various data.

MarkovML provides you the ability to:

  1. Track your model training progress using MarkovML Experiments
  2. Test your model performance using MarkovML Evaluations
  3. Connect your Experiments and Evaluations using MarkovML Model
  4. Organise your Models, Experiments and Evaluations using MarkovML Projects
  5. Create ML Workflows using Workflows.
  6. Build Custom Models.


What’s Next