A system for storage and analysis of machine learning operations
Name
1016164337-MIT.pdf
Description
Full printable version
Size
1.31 MB
Format
Adobe PDF
Checksum (MD5)
2a1b28f2dfe5e2917c3ce549fe1e8069
Author(s)
Subramanyam, Harihar G
Advisor(s)
Samuel Madden.
Date Issued
2017
Publisher
Massachusetts Institute of Technology
Abstract
Data scientists go through an iterative process when building machine learning models. This process includes operations like feature selection, cross validation, model fitting, and evaluation, which are repeated until a sufficiently accurate model is produced. This thesis describes ModelDB Server and the ModelDB Spark Client, which record operations as the data scientist performs them, stores the operations and models in a central database, and exposes an API for gleaning information from the operations and models. ModelDB Server is library agnostic and it can serve as a foundation for other applications. ModelDB Spark Client is a library for the Apache Spark ML machine learning library that lets the data scientist log their operations and models with minimal code changes. ModelDB Server and Spark Client have low time and space overhead for large training dataset sizes and the overhead is independent of the dataset size.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 111-113).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Persistent DSpace Link
