Package index • kerasnip

Core Functions

Functions for generating and managing custom model specifications.

create_keras_sequential_spec(): Create a Custom Keras Sequential Model Specification for Tidymodels

create_keras_functional_spec(): Create a Custom Keras Functional API Model Specification for Tidymodels

inp_spec(): Remap Layer Block Arguments for Model Specification

remove_keras_spec(): Remove a Keras Model Specification and its Registrations

Registration Helpers

Functions for registering custom Keras components like loss functions, optimizers, and metrics.

register_keras_loss(): Register a Custom Keras Loss

register_keras_metric(): Register a Custom Keras Metric

register_keras_optimizer(): Register a Custom Keras Optimizer

keras_optimizers keras_losses keras_metrics: Dynamically Discovered Keras Objects

Model Inspection and Evaluation

Functions for summarizing, evaluating, and extracting information from trained Keras models.

compile_keras_grid(): Compile Keras Models Over a Grid of Hyperparameters

extract_valid_grid(): Extract Valid Grid from Compilation Results

inform_errors(): Inform About Compilation Errors

extract_keras_history(): Extract Keras Training History

extract_keras_model(): Extract Keras Model from a Fitted Kerasnip Object

keras_evaluate(): Evaluate a Kerasnip Model

Custom recipe steps

Custom stpes for recipe which uses kerasnip models specifications

step_collapse(): Collapse Predictors into a single list-column