KubeCon + CloudNativeCon India 2024

In this session, Shashank Mittal, a Google Summer of Code (GSoC) 2024 contributor for Kubeflow, will discuss his work on enhancing the Katib component's Experiment APIs to support a wide range of parameter distributions for hyperparameter optimization. Katib is an integral part of the Kubeflow ecosystem that enables scalable and efficient hyperparameter tuning in machine learning workflows. The session will focus on the technical challenges and solutions involved in adding support for distributions such as uniform, log-uniform, normal, and lognormal, among others. Attendees will gain insights into the process of integrating these distributions into Katib's APIs and suggestion services like Optuna and Hyperopt. This talk is designed for developers and data scientists interested in MLOps and cloud-native machine learning infrastructure, highlighting the importance of advanced hyperparameter optimization techniques in improving model performance.