A Framework for Model Search Across Multiple Machine Learning Implementations

@article{Takahashi2019AFF,
  title={A Framework for Model Search Across Multiple Machine Learning Implementations},
  author={Y. Takahashi and M. Asahara and K. Shudo},
  journal={2019 15th International Conference on eScience (eScience)},
  year={2019},
  pages={331-338}
}
  • Y. Takahashi, M. Asahara, K. Shudo
  • Published 2019
  • Computer Science
  • 2019 15th International Conference on eScience (eScience)
  • Several recently devised machine learning (ML) algorithms have shown improved accuracy for various predictive problems. Model searches, which explore to find an optimal ML algorithm and hyperparameter values for the target problem, play a critical role in such improvements. During a model search, data scientists typically use multiple ML implementations to construct several predictive models; however, it takes significant time and effort to employ multiple ML implementations due to the need to… CONTINUE READING

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