HEMLOCK

Software · Wed Mar 25 00:00:00 EDT 2009

DOI:https://doi.org/10.11578/dc.20210521.35· OSTI ID:1231174 · Code ID:57038

Gilpin, Sean Andrew; Dunlavy, Daniel

HEMLOCK (Heterogeneous Ensemble Machine Learning Open Classification Kit) is a software tool for constructing, evaluating, and applying heterogeneous ensemble data models for use in solving supervised machine learning problems. Specifically, the main class of problems targeted by HEMLOCK is the problem of multiple-class classification (also called labeling or categorization) of data with continuous or discrete features. HEMLOCK consists of various data readers, machine learning algorithms, model combination and comparison routines, evaluation methods for model performance testing, and interfaces to external, state-of-the-art machine learning software libraries.

• Short Name / Acronym: HEMLOCK
• Project Type: Open Source, No Publicly Available Repository
• Site Accession Number: 4371
• Software Type: Scientific
• License(s): Other
• Research Organization: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE

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  Primary Award/Contract Number:

  AC04-94AL85000
• DOE Contract Number: AC04-94AL85000
• Code ID: 57038
• OSTI ID: 1231174
• Country of Origin: United States