Structure Learning and Hyperparameter Optimization Using an Automated Machine Learning (AutoML) Pipeline

Structure Learning and Hyperparameter Optimization Using an Automated Machine Learning (AutoML) Pipeline

In this paper, we built an automated machine learning (AutoML) pipeline for structure-based learning and hyperparameter optimization purposes. The pipeline consists of three main automated stages. The first carries out the collection and preprocessing of the dataset from the Kaggle database through...

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Bibliographic Details
Main Authors: Konstantinos Filippou, George Aifantis, George A. Papakostas, George E. Tsekouras
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Information
Subjects:
AutoML
MLOps
structure learning
hyperparameter optimization
Bayesian optimization
multilayer perceptron
Online Access:https://www.mdpi.com/2078-2489/14/4/232

Internet

https://www.mdpi.com/2078-2489/14/4/232

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