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Title: The Hybrid Toolkit

Abstract

The Hybrid Toolkit facilitates moving research algorithms into a production environment by creating useful abstractions that separate analytics developers from the intricacies of the production data formats, data flows, and result representations. The toolkit also assists developers with activities such as creating analysis feature vectors, converting between data structures, and creating data pipelines.

Authors:
 [1];  [1];  [2];  [1];  [1];  [1];  [1];  [3];  [3]
  1. Sandia National Laboratories
  2. Sandia national Laboratories
  3. Kitware
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1395244
Report Number(s):
The Hybrid Toolkit; 005448MLTPL00
SCR# 2122
DOE Contract Number:
NA0003525
Resource Type:
Software
Software Revision:
00
Software Package Number:
005448
Software CPU:
MLTPL
Open Source:
Yes
Source Code Available:
Yes
Related Software:
Numpy, SciPy, Scikit-learn, MongoDB, CouchDB, Beautiful Soup
Country of Publication:
United States

Citation Formats

Davis IV, Warren L, Dunlavy, Danny, Nebergall, Christopher, Wylie, Brian N, Ingram, Joey Burton, Letter, Matthew, Fabian, Nathan D, Choudhury, Roni, and Baumes, Jeff. The Hybrid Toolkit. Computer software. https://www.osti.gov//servlets/purl/1395244. Vers. 00. USDOE. 11 Sep. 2016. Web.
Davis IV, Warren L, Dunlavy, Danny, Nebergall, Christopher, Wylie, Brian N, Ingram, Joey Burton, Letter, Matthew, Fabian, Nathan D, Choudhury, Roni, & Baumes, Jeff. (2016, September 11). The Hybrid Toolkit (Version 00) [Computer software]. https://www.osti.gov//servlets/purl/1395244.
Davis IV, Warren L, Dunlavy, Danny, Nebergall, Christopher, Wylie, Brian N, Ingram, Joey Burton, Letter, Matthew, Fabian, Nathan D, Choudhury, Roni, and Baumes, Jeff. The Hybrid Toolkit. Computer software. Version 00. September 11, 2016. https://www.osti.gov//servlets/purl/1395244.
@misc{osti_1395244,
title = {The Hybrid Toolkit, Version 00},
author = {Davis IV, Warren L and Dunlavy, Danny and Nebergall, Christopher and Wylie, Brian N and Ingram, Joey Burton and Letter, Matthew and Fabian, Nathan D and Choudhury, Roni and Baumes, Jeff},
abstractNote = {The Hybrid Toolkit facilitates moving research algorithms into a production environment by creating useful abstractions that separate analytics developers from the intricacies of the production data formats, data flows, and result representations. The toolkit also assists developers with activities such as creating analysis feature vectors, converting between data structures, and creating data pipelines.},
url = {https://www.osti.gov//servlets/purl/1395244},
doi = {},
year = 2016,
month = 9,
note =
}

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