Palashio/nylon
An intelligent, flexible grammar of machine learning.
This project helps data scientists and machine learning engineers streamline their automated machine learning (AutoML) workflows. You input a .csv or .xs dataset and a concise JSON specification of your desired ML operations. The output is a fully trained machine learning model and access to all iteration results, simplifying model building and experimentation.
No commits in the last 6 months.
Use this if you want to quickly build and experiment with machine learning models on tabular data using a simple, human-readable configuration.
Not ideal if you need fine-grained control over every line of your machine learning code or are working with complex, unstructured data types.
Stars
82
Forks
8
Language
Python
License
MIT
Category
Last pushed
Jul 29, 2021
Commits (30d)
0
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