LightAutoML: AutoML Solution for a Large Financial Services Ecosystem
Vakhrushev, Anton, Ryzhkov, Alexander, Savchenko, Maxim, Simakov, Dmitry, Damdinov, Rinchin, Tuzhilin, Alexander
In particular, our ecosystem has the satisfying the set of idiosyncratic requirements that this ecosystem following set of requirements: has for AutoML solutions. Our framework was piloted and deployed in numerous applications and performed at the level of - AutoML system should be able to work with different types the experienced data scientists while building high-quality ML of data collected from hundreds of different information models significantly faster than these data scientists. We also compare systems and often changes more rapidly than these systems the performance of our system with various general-purpose can be fully documented using metadata and painstakingly open source AutoML solutions and show that it performs better for preprocessed by data scientists for the ML tasks using ETL most of the ecosystem and OpenML problems. We also present the tools.
Sep-3-2021
- Genre:
- Research Report (1.00)
- Industry:
- Technology: