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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("kerasformula")

1.5.1 by Pete Mohanty, 8 months ago


https://github.com/rdrr1990/kerasformula


Report a bug at https://github.com/rdrr1990/kerasformula/issues


Browse source code at https://github.com/cran/kerasformula


Authors: Pete Mohanty [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports ggplot2

Depends on keras, dplyr, Matrix

Suggests tensorflow, knitr


See at CRAN