Higher-Level Interface of 'torch' Package to Auto-Train Neural Networks

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Documentation for package ‘kindling’ version 0.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

act_funs	Activation Functions Specification Helper
args	Activation Function Arguments Helper
ffnn	Base models for Neural Network Training in kindling
ffnn_generator	Functions to generate 'nn_module' (language) expression
ffnn_wrapper	Basemodels-tidymodels wrappers
garson.ffnn_fit	Variable Importance Methods for kindling Models
grid_depth	Depth-Aware Grid Generation for Neural Networks
grid_depth.default	Depth-Aware Grid Generation for Neural Networks
grid_depth.list	Depth-Aware Grid Generation for Neural Networks
grid_depth.model_spec	Depth-Aware Grid Generation for Neural Networks
grid_depth.param	Depth-Aware Grid Generation for Neural Networks
grid_depth.parameters	Depth-Aware Grid Generation for Neural Networks
grid_depth.workflow	Depth-Aware Grid Generation for Neural Networks
kindling-varimp	Variable Importance Methods for kindling Models
mlp_kindling	Multi-Layer Perceptron (Feedforward Neural Network) via kindling
olden.ffnn_fit	Variable Importance Methods for kindling Models
ordinal_gen	Ordinal Suffixes Generator
rnn	Base models for Neural Network Training in kindling
rnn_generator	Functions to generate 'nn_module' (language) expression
rnn_kindling	Recurrent Neural Network via kindling
rnn_wrapper	Basemodels-tidymodels wrappers
table_summary	Summarize and Display a Two-Column Data Frame as a Formatted Table
vi_model.ffnn_fit	Variable Importance Methods for kindling Models