Package index

Model Specifications

Define neural network architectures for tidymodels

mlp_kindling()

Multi-Layer Perceptron (Feedforward Neural Network) via kindling

rnn_kindling()

Recurrent Neural Network via kindling

Training Functions

Direct training interface (Level 2)

ffnn() rnn()

Base models for Neural Network Training in kindling

Code Generators

Generate torch nn_module code (Level 1)

ffnn_generator() rnn_generator()

Functions to generate nn_module (language) expression

Variable Importance

Interpret neural network models

garson(<ffnn_fit>) olden(<ffnn_fit>) vi_model(<ffnn_fit>)

Variable Importance Methods for kindling Models

Tuning Parameters

Hyperparameter specifications for tidymodels

n_hlayers() hidden_neurons() activations() output_activation() optimizer() bias() validation_split() bidirectional()

Tunable hyperparameters for kindling models

Helper Functions

Utilities for model configuration

act_funs()

Activation Functions Specification Helper

args()

Activation Function Arguments Helper

grid_depth()

Depth-Aware Grid Generation for Neural Networks

table_summary()

Summarize and Display a Two-Column Data Frame as a Formatted Table

ordinal_gen()

Ordinal Suffixes Generator

Basemodels-tidymodels wrappers

Functions for tidymodels integration (not for direct use)

ffnn_wrapper() rnn_wrapper()

Basemodels-tidymodels wrappers