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The process of assessing feature relevance with Sofes aligns with a comparable\napproach established in the nafes package, with the primary distinction being the utilization of\nprototype-based induction learners influenced by a probabilistic framework.\n\n    \n\n## Installation\nsofes can be installed using pip.\n```python\npip install sofes\n```\n\nIf you have installed sofes before and want to upgrade to the latest version, you can run the following command in your terminal:\nProsemble can be installed using pip.\n```python\npip install -U sofes\n```\n\n\nTo install the development version from GitHub using Git, run the following command in your terminal:\n```python\npip install git+https://github.com/naotoo1/sofes\n```\n\n\n## Bibtex\nIf you would like to cite the package, please use this:\n```python\n@misc{Otoo_sofes_2023,\nauthor = {Otoo, Nana Abeka},\ntitle = {sofes},\nyear = {2023},\npublisher = {GitHub},\njournal = {GitHub repository},\nhowpublished= {\\url{https://github.com/naotoo1/sofes}},\n}\n```\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnaotoo1%2Fsofes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnaotoo1%2Fsofes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnaotoo1%2Fsofes/lists"}