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

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

## Documentation for package ‘kindling’ version 0.3.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## 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