Hasty: A Generative Model Compiler

Abstract

DARPAs Data Driven Discovery of Models (D3M) program aimed to automate machine learning so as to allow non-expert government users to pose queries, make predictions, and otherwise model data without necessarily having a background in data science or machine learning. Our research was to develop an extensive set of model primitives and contribute them to a library of discoverable component models that would be assembled by other teams pipeline search and tuning software tools. Our part of this work was developing a software toolchain that made it possible to vastly extend a set of such model primitives. Our contributions included significantly influencing the design of the D3M primitive interface, implementing the original core primitives that demonstrated this interface, implementing an additional number of specialized primitives, and explaining the opportunity, untapped, for program participants to construct their own primitives based on our developed and contributed generative model compiler technology.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2021
Accession Number
AD1153578

Entities

People

  • Frank Wood

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Bayesian Networks
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computer Vision
  • Computers
  • Data Mining
  • Data Science
  • Generative Models
  • Information Processing
  • Information Science
  • Information Systems
  • Machine Learning
  • Monte Carlo Method
  • Neural Networks
  • Probabilistic Models

Fields of Study

  • Computer science

Readers

  • Business Analytics
  • Computational Linguistics
  • Distributed Systems and Data Platform Development

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks