regression-with-streamrak

This repository contains an implementation of StreaMRAK

https://github.com/andoslandsbotn/regression-with-streamrak

Science Score: 57.0%

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
Found 2 DOI reference(s) in README
○
Academic publication links
○
Academic email domains
○
Institutional organization owner
○
JOSS paper metadata
○
Scientific vocabulary similarity
Low similarity (5.9%) to scientific vocabulary

Last synced: 10 months ago · JSON representation ·

Repository

This repository contains an implementation of StreaMRAK

Basic Info

Host: GitHub
Owner: AndOslandsbotn
Language: Python
Default Branch: main
Size: 25.4 KB

Statistics

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

Created over 3 years ago · Last pushed over 3 years ago

Metadata Files

Readme Citation

Regression-with-StreaMRAK

This repository contains an implementation of the kernel method StreaMRAK [1], which is built on the kernel solver FALKON [2] as a base solver.

Install

To install the code, clone the repository and install the packages in the requirements.txt file using pip install -r requirements.txt from the root of your repository

Run

To run the kernel methods on a toy example run the following two scripts - maintrainstreamrak.py - mainpredstreamrak.py - maintrainfalkon.py - mainpredfalkon.py

References

[1] A. Oslandsbotn, Z. Kereta, V. Naumova, Y. Freund and A. Cloninger (2022). StreaMRAK a streaming multi-resolution adaptive kernel algorithm Applied Mathematics and Computation, vol 426, p. 127112 https://doi.org/10.1016/j.amc.2022.127112

[2] A. Rudi, L. Carratino and L. Rosasco (2017). FALKON: An Optimal Large Scale Kernel Method. Advances in Neural Information Processing Systems, vol 30 https://proceedings.neurips.cc/paper/2017/file/05546b0e38ab9175cd905eebcc6ebb76-Paper.pdf

Owner

Name: Andreas Oslandsbotn
Login: AndOslandsbotn
Kind: user
Location: Oslo, Norway
Company: Simula Research Laboratory

Repositories: 4
Profile: https://github.com/AndOslandsbotn

Master in Applied Physics and Mathematics from the Norwegian University of Science and Technology (NTNU). PhD stud. Mathematics/Machine learning UiO/Simula/UCSD

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Oslandsbotn
    given-names: Andreas
title: "StreaMRAK: Streaming multi-resolution adaptive kernel algorithm"
version: 1.0.0
date-released: 2022-03-15

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Open Source Science