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Optimization\u003c/h3\u003e\n\n\u003cbr\u003e\n\n\nThis package implements a type of Meta-Learning, which aims at optimizing the hyperparameters of a given model, based on previous model evaluations. This approach is described in chapter 6 of the book \"Metalearning\"[[1]](#1).\n\n\n\u003cbr\u003e\n\n## Definitions\n\n### Meta-Learning\n\n### Meta-Regressor\n\n### Meta-Data\n\n\n\n\u003cbr\u003e\n\n## Installation\n```console\npip install meta-learn\n```\n\n\n\u003cbr\u003e\n\n## References\n\n\u003ca id=\"1\"\u003e[1]\u003c/a\u003e \nPavel Brazdil, Jan N. van Rijn, Carlos Soares, Joaquin Vanschoren.\n*Metalearning.\nApplications to Automated Machine Learning and Data Mining.*\nSecond Edition.\nSpringer, 2022.\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsimonblanke%2Fmeta-learn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsimonblanke%2Fmeta-learn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsimonblanke%2Fmeta-learn/lists"}