surrogate-machine-optimisation-and-learning

https://github.com/huw-rhys-jones/surrogate-machine-optimisation-and-learning

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
○
DOI references
✓
Academic publication links
Links to: zenodo.org
○
Academic email domains
○
Institutional organization owner
○
JOSS paper metadata
○
Scientific vocabulary similarity
Low similarity (6.3%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

Basic Info

Host: GitHub
Owner: huw-rhys-jones
License: gpl-2.0
Language: Python
Default Branch: master
Size: 88.9 MB

Statistics

Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Releases: 0

Created over 2 years ago · Last pushed over 2 years ago

Metadata Files

Readme Changelog License Citation

README.md

ParmecAGRML_Surrogate

Framework for the development of machine learning surrogate model

Packages are available for data generation/labelling, model design/development, evaluation and testing.

Set-up and Dataset

For detailed instructions on set up and use, see the Wiki.

Begin by cloning this repository then downloading the dataset and place it within the repository folder. You nominally need the following files:

dataset_cases.pkl
testsetcases.pkl
YdatasetC159160L1112T48R1all_T.npy
YtestsetC159160L1112T48R1allT.npy

These files includes inputs and outputs for both training and testing.

Model Development

The main package files are located within machine_learning

Owner

Name: Huw Rhys Jones
Login: huw-rhys-jones
Kind: user
Location: Bridgwater, UK
Company: CaisTec

Website: https://caistec.com/
Repositories: 26
Profile: https://github.com/huw-rhys-jones

Computer science, app developer, machine learning and nuclear engineer

Citation (CITATION.cff)

cff-version: 1.0.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Jones
    given-names: H. Rhys
    orcid: https://orcid.org/0000-0002-9555-4297
title: "Surrogate Machine Optimisation and Learning "
version: 0.1.7.2
doi: 
date-released: 2022-08-05

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Open Source Science