Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: LightAutoML: AutoML Solution for a Large Financial Services Ecosystem   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.

28
The categories of this paper are: alg-geom
23
The categories of this paper are: solv-int
21
The categories of this paper are: adap-org
15
The categories of this paper are: nucl-ex
4
The categories of this paper are: cond-mat
19
The categories of this paper are: eess
26
The categories of this paper are: bayes-an
24
The categories of this paper are: dg-ga
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg
9
The categories of this paper are: nlin
25
The categories of this paper are: patt-sol
14
The categories of this paper are: math-ph
22
The categories of this paper are: chao-dyn
12
The categories of this paper are: nucl-th