Man pages for kerasnip
A Bridge Between 'keras' and 'tidymodels'
| augment.kerasnip_output_view | Augment Method for 'kerasnip_output_view' Objects |
| augment.kerasnip_step_view | Augment Method for 'kerasnip_step_view' Objects |
| axe-kerasnip_model_fit | Butcher axe methods for kerasnip_model_fit |
| compile_keras_grid | Compile Keras Models Over a Grid of Hyperparameters |
| create_keras_functional_spec | Create a Custom Keras Functional API Model Specification for... |
| create_keras_sequential_spec | Create a Custom Keras Sequential Model Specification for... |
| extract_keras_history | Extract Keras Training History |
| extract_keras_model | Extract Keras Model from a Fitted Kerasnip Object |
| extract_mold.kerasnip_output_view | Extract Mold Method for 'kerasnip_output_view' Objects |
| extract_valid_grid | Extract Valid Grid from Compilation Results |
| fit.kerasnip_spec | Fit Method for kerasnip Spec Objects |
| fit.kerasnip_tailored_workflow | Fit Method for 'kerasnip_tailored_workflow' Objects |
| fit_xy.kerasnip_spec | fit_xy Method for kerasnip Spec Objects |
| generic_functional_fit | Internal Fitting Engine for Functional API Models |
| generic_sequential_fit | Internal Fitting Engine for Sequential API Models |
| get_model_env | Get Parsnip's Model Environment |
| glance.kerasnip_model_fit | Glance at a Fitted Kerasnip Model |
| inform_errors | Inform About Compilation Errors |
| inp_spec | Remap Layer Block Arguments for Model Specification |
| int_conformal_full.kerasnip_output_view | Full Conformal Inference Method for 'kerasnip_output_view'... |
| int_conformal_full.kerasnip_step_view | Full Conformal Inference Method for 'kerasnip_step_view'... |
| int_conformal_split.kerasnip_output_view | Split Conformal Inference Method for 'kerasnip_output_view'... |
| int_conformal_split.kerasnip_step_view | Split Conformal Inference Method for 'kerasnip_step_view'... |
| keras_evaluate | Evaluate a Kerasnip Model |
| kerasnip_add_tailor | Attach a 'tailor' Post-Processor to One Output or Step of a... |
| kerasnip_output_view | View a Single Output of a Multi-Output kerasnip Fit |
| kerasnip_step_truth | Recover Truth Values for a Multistep Forecast Step |
| kerasnip_step_view | View a Single Forecast Step of a Multistep kerasnip Fit |
| keras_objects | Dynamically Discovered Keras Objects |
| laplace_conf_int_cls | Predict Confidence Intervals for Classification via LLA |
| laplace_conf_int_reg | Predict Confidence Intervals via Last-Layer Laplace... |
| laplace_pred_int_cls | Predict Prediction Intervals for Classification via LLA |
| laplace_pred_int_reg | Predict Prediction Intervals via Last-Layer Laplace... |
| loss_function_keras | Dials Parameter for Keras Loss Functions |
| model_exists | Check if a Kerasnip Model Specification Exists |
| optimizer_function | Dials Parameter for Keras Optimizers |
| predict.kerasnip_conformal_full | Predict Method for 'kerasnip_conformal_full' Objects |
| predict.kerasnip_conformal_full_step | Predict Method for 'kerasnip_conformal_full_step' Objects |
| predict.kerasnip_model_fit | Predict Method for kerasnip Model Fits |
| predict.kerasnip_output_view | Predict Method for 'kerasnip_output_view' Objects |
| predict.kerasnip_step_view | Predict Method for 'kerasnip_step_view' Objects |
| predict.kerasnip_tailored_fit | Predict Method for 'kerasnip_tailored_fit' Objects |
| process_x_functional | Process Predictor Input for Keras (Functional API) |
| process_x_sequential | Process Predictor Input for Keras |
| process_y_functional | Process Outcome Input for Keras (Functional API) |
| process_y_sequential | Process Outcome Input for Keras |
| register_keras_loss | Register a Custom Keras Loss |
| register_keras_metric | Register a Custom Keras Metric |
| register_keras_optimizer | Register a Custom Keras Optimizer |
| remove_keras_spec | Remove a Keras Model Specification and its Registrations |
| set_args.kerasnip_spec | set_args Method for kerasnip Spec Objects |
| set_engine.kerasnip_spec | set_engine Method for kerasnip Spec Objects |
| step_collapse | Collapse Predictors into a single list-column |
| step_lead | Create a Lead Predictor |
| step_sequence | Build a Sliding Window of Predictors for Sequence Models |
| tidy.kerasnip_model_fit | Tidy a Fitted Kerasnip Model |
