montanaflynn/simple-go-perceptron
A simple perceptron in Golang
This tool helps developers quickly implement a basic perceptron model to classify simple, tabular datasets. It takes numerical input data, like height and weight, and corresponding binary labels (e.g., adult or child) to train a model. The output is a trained model that can predict the class for new, unseen data points. This is for software developers building applications that require a fundamental classification algorithm.
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Use this if you are a developer needing a straightforward, foundational algorithm to classify data into two distinct categories based on numerical features.
Not ideal if you require complex classification for multi-category data, non-linear relationships, or very large datasets, where more sophisticated machine learning models would be appropriate.
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Go
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Last pushed
Jan 25, 2019
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