Deep Lynx Machine Learning (ML) Adapter

INL Software; Katherine Wilsdon; Ross Kunz; Jeren Browning

Deep Lynx Machine Learning (ML) Adapter

INL Software (Photographer), Katherine Wilsdon (Developer), Ross Kunz (Developer), Jeren Browning (Developer)

Research output: Non-textual form › Software

Abstract

The Deep Lynx Machine Learning (ML) Adapter is a generic adapter that programmatically runs the ML as continuous data is received. Then, Jupyter Notebooks can be customized according to the project for pre-processing the data, building the machine learning models, prediction analysis of incoming data using an existing model, and forecasting anomalies / failures of the physical asset.

This software is open source and available at no cost.

Original language	American English
State	Published - 2021

Access to Document

Cite this

@misc{620bba40fd9345948b52917371cb081c,

title = "Deep Lynx Machine Learning (ML) Adapter",

abstract = "The Deep Lynx Machine Learning (ML) Adapter is a generic adapter that programmatically runs the ML as continuous data is received. Then, Jupyter Notebooks can be customized according to the project for pre-processing the data, building the machine learning models, prediction analysis of incoming data using an existing model, and forecasting anomalies / failures of the physical asset.This software is open source and available at no cost.",

author = "{INL Software} and Katherine Wilsdon and Ross Kunz and Jeren Browning",

year = "2021",

language = "American English",

}

TY - ADVS

T1 - Deep Lynx Machine Learning (ML) Adapter

A2 - INL Software

A2 - Wilsdon, Katherine

A2 - Kunz, Ross

A2 - Browning, Jeren

PY - 2021

Y1 - 2021

N2 - The Deep Lynx Machine Learning (ML) Adapter is a generic adapter that programmatically runs the ML as continuous data is received. Then, Jupyter Notebooks can be customized according to the project for pre-processing the data, building the machine learning models, prediction analysis of incoming data using an existing model, and forecasting anomalies / failures of the physical asset.This software is open source and available at no cost.

AB - The Deep Lynx Machine Learning (ML) Adapter is a generic adapter that programmatically runs the ML as continuous data is received. Then, Jupyter Notebooks can be customized according to the project for pre-processing the data, building the machine learning models, prediction analysis of incoming data using an existing model, and forecasting anomalies / failures of the physical asset.This software is open source and available at no cost.

M3 - Software

ER -

Deep Lynx Machine Learning (ML) Adapter

Abstract

Access to Document

Fingerprint

Cite this