Type: User
Company: Leiden University
Bio: Worked as Post-doc at University of Freiburg and Columbia University (New York).
Assistant Professor in Leiden. Machine Learning, metalearning, AutoML.
Location: Leiden, Netherlands
Blog: https://www.universiteitleiden.nl/en/staffmembers/jan-van-rijn
janvanrijn's Projects
Active Testing using surrogates
Algorithm Selection scenario data
Simple and Lightweight Auth System for CodeIgniter
Contains website files for the Eindhoven 2014 OpenML Workshop.
Hyperparameter importance for CNNs
A library for read and write ARFF files in Python
For the notebook related to the paper with Peter van der Putten, Benjamin Strang and Frank Hutter
This project provides a Python-based analysis tool tailored for optimizing algorithm performance across both continuous and discrete problem domains, utilizing the Nevergrad optimization framework and exploratory landscape analysis (ELA)
AAAI 2021 - Workshop 'Meta-Learning and Co-Hosted Competition' challenge repository
contains scripts for plots created for the meta-learning book
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
Weka package for parameter optimization, similar to GridSearch, but with arbitrary number of parameters.
algorithm selection with openml
Search for a set of defaults for sklearn and mlr
Parameter Importance according to OpenML
Several Tools for OpenML Java