The Ion team provides ongoing updates on the machine learning, data science, and data engineering aspects of the Hydrogen platform.
Welcome to the first official update from the Ion team!
Ion is an AutoML API that has been in development since 2017. It leverages open-source machine learning packages and customized hyper-parameter optimization algorithms to find the machine learning pipeline with the best fit for your data. Currently, the API optimizes machine learning pipelines from H2O.ai and scikit-learn, with Spark ML and others coming soon.
Additional things we’ll be working on include:
- Automated feature extraction capabilities
- Hyper-parameter optimization and AutoML for time-series models
- Support for more complex modeling techniques such as Neural Networks and Bayesian modeling
- Ionized products, which are AutoML products built with Ion to solve specific machine learning problems
Ion is currently in beta. We are hosting a meetup today to demonstrate the capabilities of the API and to get ideas for machine learning challenges in financial services that can benefit from automation. If you’re interested, please stop by!
We’d love to hear from you! Please get in touch via Discord, Reddit, or Telegram.
