HIGH TECH IN EARTH SPACE RESEARCH

Application of H2O framework in time series processing

Bunyakina E.V., Galchenko M. I.

Currently, one of the most popular advanced analytics area is time series analysis. Stored data of measuring instruments, detectors of various kinds can serve as examples of generating this kind of data.

There are quite a few integrated platforms proposals on the market for building deep learning models. In this situation, the H2O platform (framework) is a unique offer, due to its free, comprehensive, low entry threshold and scalability. Particular interest in the framework is also dictated by the fact that the developers have provided the opportunity to access the platform algorithms in R and Python using libraries, as well as the availability of the Sparkling Water application for Apache Spark. In the KNIME Analytics Platform 4.X, the KNIME Labs - Deep Learning node group has well-tuned nodes that can invoke the corresponding H2O algorithms. Currently, not all H2O algorithms have been implemented yet, but the KNIME development process allows us to expect that everything remaining will be implemented soon. The article provides general information, as well as an example of using the platform for the task of time series forecasting. The order of the functions in the code, the basic settings, as well as the call features that occur when working on a single PC while working in R are shown. The process of interaction with the web interface and the implementation of functions in the statistical programming language R is described. The use of simulation results, namely, relative importance, is demonstrated. predictors in H2O to simplify the data set and increase the rate of convergence of the algorithm.

Editorial board

Bobrowsky V.I.
(Ph.D., Associate Professor, Head of Department of "INTELTEH")

Borisov V.V.
(Ph.D., Professor, Actual Member of the Academy of Military Sciences, Professor, Department of Computer Science of MPEI)

Budko P.A.
(Ph.D., Professor, Department of Technical communication and automation in S.M. Budjonny Military Academy of the Signal Corps)

Budnikov S.A.
(Ph.D., associate professor, Actual Member of the Academy of Education Informatization, Head of the automated control systems Department in Russian Air Force Military Educational and Scientific Center “Air Force Academy named after Professor N.E. Zhukovsky and Y.A. Gagarin”)

Verhova G.V.
(Ph.D., Professor, Head of Department of Automation communication companies In the Bonch-Bruevich Saint Petersburg State University of Telecommunications)

Goncharevsky V.S.
(Ph.D., Professor, Honored Worker of Science and Technology of the Russian Federation, Professor of technologies and technical support and maintenance of the automated control systems in Military Space Academy of A.F. Mozhaysky)

Komashinskiy V.I.
(Ph.D., Professor, professor of processing and transmission discrete messages in the Bonch-Bruevich Saint Petersburg State University of Telecommunications)

Kirpanev A.V.
(Ph.D., Associate Professor, Head of JSC "Scientific Production Enterprise "Radar MMS")

Kurnosov V.I.
(Ph.D., Professor, Academician of Academy of Sciences of the Arctic, Academician of the International Academy of Informatization, International Academy of defense, security, law and order, corresponding member of the Academy of Natural Sciences, Senior Researcher" Open Joint Stock Company "Scientific Research Institute "Rubin")

Manuilov Y.S.
(Ph.D., Professor, Department of automated control systems space complexes in Military Space Academy of A.F. Mozhaysky)

Morozov A.V.
(Ph.D., Professor, Actual Member of the Academy of Military Sciences, Head of the Department of automated command and control systems in Military Аcademy of troops of antiaircraft defense)

Moshak N.N.
(Ph.D., Associate Professor, head of the department of "INTELTEH")

Prorok V.Y.
(Ph.D., Professor, professor of automatic control systems in Military Space Academy of A.F. Mozhaysky)

Semenov S.S.
(Ph.D., associate professor, professor of technical communication and automation in S.M. Budjonny Military Academy of the Signal Corps)

Sinicyn E.A.
(Ph.D., Professor, Head of the Research Department of JSC "The All-Russian research institute of radio equipment")

Shatrakov Y.G.
(Ph.D., Professor, Honored Worker of Science, Scientific Secretary of JSC "The All-Russian research institute of radio equipment")