Publication result detail

Distributed framework for testing machine learning methods

KLUSÁČEK, J.

Original Title

Distributed framework for testing machine learning methods

English Title

Distributed framework for testing machine learning methods

Type

Paper in proceedings (conference paper)

Original Abstract

This work briefly describes problematic of testing and comparing machine learning methods. Main focus of this paper is description of createt framework that allows to automate testing of machine learning methods. This framework llows to automate repetive tasks necessary for testing these methods. It also allows to distribute work across multiple computers.

English abstract

This work briefly describes problematic of testing and comparing machine learning methods. Main focus of this paper is description of createt framework that allows to automate testing of machine learning methods. This framework llows to automate repetive tasks necessary for testing these methods. It also allows to distribute work across multiple computers.

Keywords

Machine learning, Python, Parallelization, Web interface

Key words in English

Machine learning, Python, Parallelization, Web interface

Authors

KLUSÁČEK, J.

RIV year

2017

Released

21.04.2016

Publisher

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních

ISBN

978-80-214-5350-0

Book

Proceedings of the 22 nd Conference STUDENT EEICT 2016

Pages from

421

Pages to

425

Pages count

789

BibTex

@inproceedings{BUT124523,
  author="Jan {Klusáček}",
  title="Distributed framework for testing machine learning methods",
  booktitle="Proceedings of the 22 nd  Conference STUDENT EEICT 2016",
  year="2016",
  number="1",
  pages="421--425",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních",
  isbn="978-80-214-5350-0"
}