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AI · June 29, 2018

SF

Smart Fruit – A Python schema-based machine learning library

I've made a small Python library, designed for quick-and-easy prototyping of machine learning models. It's built on top of scikit-learn, to serialize and deserialize data from the forms you're likely to have, to the format used in scikit-learn. https://github.com/madman-bob/Smart-Fruit It's pretty bare-bones at the moment, but I thought I'd see if there was any interest before spending too much time on it. Let me know what you think.

Smart Fruit – A Python schema-based machine learning library launched on June 29, 2018 with 44 votes, #737 of 2,654 launches that month and more than 90% of that year's launches.

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Smart Fruit is a Python library that simplifies machine learning prototyping by building on scikit-learn. It handles conversion between common data formats and scikit-learn's required format, streamlining the data serialization and deserialization process. Designed for developers who want to quickly test machine learning models without extensive data preprocessing, the library aims to reduce setup time for typical workflows.

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