Öztürk, Muhammed Maruf (2024) MFRLMO: Model-free reinforcement learning for multi-objective optimization of apache spark. EAI Endorsed Transactions on Scalable Information Systems.
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Abstract
Hyperparameter optimization (HO) is a must to figure out to what extent can a specific configuration of hyperparameters contribute to the performance of a machine learning task. The hardware and MLlib library of Apache Spark have the potential to improve big data processing performance when a tuning
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 18:29 |
| Last Modified: | 10 Apr 2026 23:09 |
| URI: | http://eprints.eai.eu/id/eprint/52688 |
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