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.

Package details

AuthorPete Mohanty [aut, cre]
MaintainerPete Mohanty <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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kerasformula documentation built on May 2, 2019, 9:44 a.m.