LightAutoML: AutoML Solution for a Large Financial Services Ecosystem
This provides an AutoML solution tailored to specific financial services needs, though it appears incremental as it builds on existing AutoML concepts for a particular domain.
The authors tackled the problem of automating machine learning model development for a large financial services ecosystem by creating LightAutoML, which performed at the level of experienced data scientists while building high-quality models significantly faster.
We present an AutoML system called LightAutoML developed for a large European financial services company and its ecosystem satisfying the set of idiosyncratic requirements that this ecosystem has for AutoML solutions. Our framework was piloted and deployed in numerous applications and performed at the level of the experienced data scientists while building high-quality ML models significantly faster than these data scientists. We also compare the performance of our system with various general-purpose open source AutoML solutions and show that it performs better for most of the ecosystem and OpenML problems. We also present the lessons that we learned while developing the AutoML system and moving it into production.