vetiver_api |
Create a Plumber API to predict with a deployable 'vetiver_model()' object |
vetiver_compute_metrics |
Aggregate model metrics over time for monitoring |
vetiver_create_description |
Model constructor methods |
vetiver_create_description.default |
Model constructor methods |
vetiver_create_description.gam |
Model constructor methods |
vetiver_create_description.glm |
Model constructor methods |
vetiver_create_description.keras.engine.training.Model |
Model constructor methods |
vetiver_create_description.kproto |
Model constructor methods |
vetiver_create_description.Learner |
Model constructor methods |
vetiver_create_description.lm |
Model constructor methods |
vetiver_create_description.luz_module_fitted |
Model constructor methods |
vetiver_create_description.model_stack |
Model constructor methods |
vetiver_create_description.ranger |
Model constructor methods |
vetiver_create_description.recipe |
Model constructor methods |
vetiver_create_description.train |
Model constructor methods |
vetiver_create_description.workflow |
Model constructor methods |
vetiver_create_description.xgb.Booster |
Model constructor methods |
vetiver_create_meta |
Metadata constructors for 'vetiver_model()' object |
vetiver_create_meta.default |
Metadata constructors for 'vetiver_model()' object |
vetiver_create_meta.gam |
Metadata constructors for 'vetiver_model()' object |
vetiver_create_meta.keras.engine.training.Model |
Metadata constructors for 'vetiver_model()' object |
vetiver_create_meta.kproto |
Metadata constructors for 'vetiver_model()' object |
vetiver_create_meta.Learner |
Metadata constructors for 'vetiver_model()' object |
vetiver_create_meta.luz_module_fitted |
Metadata constructors for 'vetiver_model()' object |
vetiver_create_meta.model_stack |
Metadata constructors for 'vetiver_model()' object |
vetiver_create_meta.ranger |
Metadata constructors for 'vetiver_model()' object |
vetiver_create_meta.recipe |
Metadata constructors for 'vetiver_model()' object |
vetiver_create_meta.train |
Metadata constructors for 'vetiver_model()' object |
vetiver_create_meta.workflow |
Metadata constructors for 'vetiver_model()' object |
vetiver_create_meta.xgb.Booster |
Metadata constructors for 'vetiver_model()' object |
vetiver_create_ptype |
Create a vetiver input data prototype |
vetiver_create_rsconnect_bundle |
Create an Posit Connect bundle for a vetiver model API |
vetiver_dashboard |
R Markdown format for model monitoring dashboards |
vetiver_deploy_rsconnect |
Deploy a vetiver model API to Posit Connect |
vetiver_deploy_sagemaker |
Deploy a vetiver model API to Amazon SageMaker |
vetiver_endpoint |
Create a model API endpoint object for prediction |
vetiver_endpoint_sagemaker |
Create a SageMaker model API endpoint object for prediction |
vetiver_meta |
Metadata constructors for 'vetiver_model()' object |
vetiver_model |
Create a vetiver object for deployment of a trained model |
vetiver_pin_metrics |
Update model metrics over time for monitoring |
vetiver_pin_read |
Read and write a trained model to a board of models |
vetiver_pin_write |
Read and write a trained model to a board of models |
vetiver_plot_metrics |
Plot model metrics over time for monitoring |
vetiver_prepare_docker |
Generate files necessary to build a Docker container for a vetiver model |
vetiver_prepare_model |
Model constructor methods |
vetiver_prepare_model.default |
Model constructor methods |
vetiver_prepare_model.gam |
Model constructor methods |
vetiver_prepare_model.glm |
Model constructor methods |
vetiver_prepare_model.keras.engine.training.Model |
Model constructor methods |
vetiver_prepare_model.kproto |
Model constructor methods |
vetiver_prepare_model.Learner |
Model constructor methods |
vetiver_prepare_model.lm |
Model constructor methods |
vetiver_prepare_model.luz_module_fitted |
Model constructor methods |
vetiver_prepare_model.model_stack |
Model constructor methods |
vetiver_prepare_model.ranger |
Model constructor methods |
vetiver_prepare_model.recipe |
Model constructor methods |
vetiver_prepare_model.train |
Model constructor methods |
vetiver_prepare_model.workflow |
Model constructor methods |
vetiver_prepare_model.xgb.Booster |
Model constructor methods |
vetiver_pr_docs |
Create a Plumber API to predict with a deployable 'vetiver_model()' object |
vetiver_pr_post |
Create a Plumber API to predict with a deployable 'vetiver_model()' object |
vetiver_ptype |
Create a vetiver input data prototype |
vetiver_ptype.default |
Create a vetiver input data prototype |
vetiver_ptype.gam |
Create a vetiver input data prototype |
vetiver_ptype.glm |
Create a vetiver input data prototype |
vetiver_ptype.keras.engine.training.Model |
Create a vetiver input data prototype |
vetiver_ptype.kproto |
Create a vetiver input data prototype |
vetiver_ptype.Learner |
Create a vetiver input data prototype |
vetiver_ptype.lm |
Create a vetiver input data prototype |
vetiver_ptype.luz_module_fitted |
Create a vetiver input data prototype |
vetiver_ptype.model_stack |
Create a vetiver input data prototype |
vetiver_ptype.ranger |
Create a vetiver input data prototype |
vetiver_ptype.recipe |
Create a vetiver input data prototype |
vetiver_ptype.train |
Create a vetiver input data prototype |
vetiver_ptype.workflow |
Create a vetiver input data prototype |
vetiver_ptype.xgb.Booster |
Create a vetiver input data prototype |
vetiver_sm_build |
Deploy a vetiver model API to Amazon SageMaker with modular functions |
vetiver_sm_delete |
Delete Amazon SageMaker model, endpoint, and endpoint configuration |
vetiver_sm_endpoint |
Deploy a vetiver model API to Amazon SageMaker with modular functions |
vetiver_sm_model |
Deploy a vetiver model API to Amazon SageMaker with modular functions |
vetiver_type_convert |
Convert new data at prediction time using input data prototype |
vetiver_write_docker |
Write a Dockerfile for a vetiver model |
vetiver_write_plumber |
Write a deployable Plumber file for a vetiver model |