kitchen allows for the implementation of a machine learning technique called convolutional kitchen sinks or convolutional random features. Using a Gaussian matrix, it produces a set of random features from data than can be effectively used for machine learning. The package includes tools for producing features, training and testing models, and predicting from models.
Package details |
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Author | Avery Kruger |
Maintainer | Avery Kruger <amkruger@ucdavis.edu> |
License | GPL (>= 3) |
Version | 0.1.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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