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

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Documentation for package ‘kindling’ version 0.3.0

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

Help Pages

.i	Layer argument pronouns for formula-based specifications
.in	Layer argument pronouns for formula-based specifications
.is_output	Layer argument pronouns for formula-based specifications
.layer	Layer argument pronouns for formula-based specifications
.out	Layer argument pronouns for formula-based specifications
act_funs	Activation Functions Specification Helper
args	Activation Function Arguments Helper
early_stop	Early Stopping Specification
ffnn	Base models for Neural Network Training in kindling
ffnn_generator	Functions to generate 'nn_module' (language) expression
garson.ffnn_fit	Variable Importance Methods for kindling Models
gen-nn-train	Generalized Neural Network Trainer
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-basemodels	Base models for Neural Network Training in kindling
kindling-varimp	Variable Importance Methods for kindling Models
layer_prs	Layer argument pronouns for formula-based specifications
mlp_kindling	Multi-Layer Perceptron (Feedforward Neural Network) via kindling
new_act_fn	Custom Activation Function Constructor
nn_arch	Architecture specification for train_nn()
nn_gens	Functions to generate 'nn_module' (language) expression
nn_module_generator	Generalized Neural Network Module Expression Generator
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
table_summary	Summarize and Display a Two-Column Data Frame as a Formatted Table
train_nn	Generalized Neural Network Trainer
train_nn.data.frame	Generalized Neural Network Trainer
train_nn.dataset	Generalized Neural Network Trainer
train_nn.default	Generalized Neural Network Trainer
train_nn.formula	Generalized Neural Network Trainer
train_nn.matrix	Generalized Neural Network Trainer
train_nnsnip	Parsnip Interface of 'train_nn()'
vi_model.ffnn_fit	Variable Importance Methods for kindling Models