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.
|Author||Pete Mohanty [aut, cre]|
|Date of publication||2018-08-23 17:52:14 UTC|
|Maintainer||Pete Mohanty <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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