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cs.LG2024
Simplifying Hyperparameter Tuning in Online Machine Learning -- The spotRiverGUI
Thomas Bartz-Beielstein
Batch Machine Learning (BML) reaches its limits when dealing with very large amounts of streaming data. This is especially true for available memory, handling drift in data streams…
cs.LG2023★ 3 cited
Hyperparameter Tuning Cookbook: A guide for scikit-learn, PyTorch, river, and spotPython
Thomas Bartz-Beielstein
This document provides a comprehensive guide to hyperparameter tuning using spotPython for scikit-learn, PyTorch, and river. The first part introduces spotPython's surrogate model-…
cs.LG2023★ 4 cited
PyTorch Hyperparameter Tuning - A Tutorial for spotPython
Thomas Bartz-Beielstein
The goal of hyperparameter tuning (or hyperparameter optimization) is to optimize the hyperparameters to improve the performance of the machine or deep learning model. spotPython (…