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Information Technology
N.E. Kalenov, I.N. Sobolevskaya, A.N. Sotnikov "Classes of objects and relations in the Common Digital Space of Scientific Knowledge"
I.A. Filozova, T.N. Zaikina, G.V. Shestakova, R.N. Semenov "Curation of bibliographic metadata of the institutional repository on the Invenio-JOIN2 platform"
E.I. Alexandrov, I.N. Alexandrov, D.V. Belyakov, N.A. Davydova, L.A. Kalmykova, M.A. Lyubimova, T.F. Sapozhnikova, T.S. Syresina, A.V. Yakovlev, P.V. Zrelov "Development of an Information-analytical System for the Support and Maintenance of Licenses at ML
M.V. Bulygin, D.E. Namiot, O.N. Pokusaev "On the analysis of individual data on transport usage"
I.I. Deykin, V.V. Syuzev, E.V. Smirnova, A.V. Proletarsky Simulated reference signals storage: basis for fast algorithms creation
Data Mining
I.А. Popova , G.I. Revunkov, Y.E. Gapanyuk AutoML: Examining Existing Software Implementations and Determining the Overall Internal Structure of Solutions
M.S. Manakhova, V.A. Dudarev "Web Application with GUI for Data Analysis Automation"
G.S. Brykin The System.AI Project: Fully Managed Cross-Platform Machine Learning and Data Analysis Stack for .NET Ecosystem
D.E. Namiot, E.A. Ilyushin, I.V.Chizov "On the Practical Generation of Counterfactual Examples"
Junzhe Song, D.E. Namiot "A Survey of Model Inversion Attacks and Countermeasures"
N.D. Moskin, K.A. Kulakov, A.A. Rogov, R.V. Abramov "Research the Stability of Decision Trees Using Distances on Graphs"
B.K. Amos, I.V. Smirnov, I.A. Aidrous, R.R. Asmyatullin, S.G. Glavina "Economic Cycle Prediction using Machine Learning – Russia Case Study"
V.A. Yunusov, A.F. Gilemzyanov, F.M. Gafarov, P.N. Ustin, A.R. Khalfieva "Quantitative large-scale study of school student’s academic performance peculiarities during distance education caused by COVID-19"
Methods and Models in Natural Sciences
E.S. Postnikova, O. L. Ryabukhina, A. V. Tutukov, S.V. Vereshchagin, N.V. Chupina, A.P. Demidov The Structure and Evolution of Open Star Clusters: Theory and Observations Based on Gaia Data
V.Yu. Kim, I.M. Izmailova "Astronomical observation planner"
N.A. Vasilyeva, A.A. Vladimirov, T.A. Vasiliev "A logical model for integration of heterogeneous experimental data in soil research"
V.I. Budzko, V.I. Medennikov Conditions for the effective application of artificial intelligence technologies in the agro-industrial complex of the EAEU
Computer analysis of texts
N.A. Kolpakov, A.I. Molodchenkov, A.V. Lukin Methods of extracting biomedical information from patents and scientific publications (on the example of chemical compounds)
A.P. Zavyalova, P.A. Martynyuk, R.S. Samarev "Sentence splitters benchmark"
N.D. Todosiev, V.I. Yankovskiy, Y.E. Gapanyuk, A.M. Andreev "The Conceptual Modeling System Based on Metagraph Approach"
I.А. Popova , G.I. Revunkov, Y.E. Gapanyuk AutoML: Examining Existing Software Implementations and Determining the Overall Internal Structure of Solutions
Abstract. 

The article discusses various software implementations of the process of automating the task of using machine learning to solve the linear regression problem. The internal structure and capabilities of a number of existing and widely used automated machine learning tools such as LightAutoML (LAMA), TPOT, Auto-Sklearn, H2O AutoML, MLJAR are considered. The capabilities of these software systems have been explored to solve the regression problem on multiple datasets.

Keywords: 

automated machine learning (AutoML), LAMA, TPOT, Auto-Sklearn, H2O AutoML, MLJAR, Regression.

PP. 43-54.

DOI: 10.14357/20790279230106
     
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