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kerasformula: A High-Level R Interface for Neural Nets
Adds a high-level interface for 'keras' neural nets. kms() fits neural net and accepts R formulas to aid data munging and hyperparameter selection. kms() can optionally accept a compiled keras_sequential_model() from 'keras'. kms() accepts a number of parameters (like loss and optimizer) and splits the data into (optionally sparse) test and training matrices. kms() facilitates setting advanced hyperparameters (e.g., regularization). kms() returns a single object with predictions, a confusion matrix, and function call details.
Getting started
Browse package contents
Package details |
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| Author | Pete Mohanty [aut, cre] |
| Maintainer | Pete Mohanty <pete.mohanty@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.5.1 |
| URL | https://github.com/rdrr1990/kerasformula |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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Try the kerasformula package in your browser
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