api_spec | Update the OpenAPI specification using model metadata |
attach_pkgs | Fully attach or load packages for making model predictions |
augment.vetiver_endpoint | Post new data to a deployed model API endpoint and augment... |
augment.vetiver_endpoint_sagemaker | Post new data to a deployed SageMaker model endpoint and... |
handler_startup | Model handler functions for API endpoint |
map_request_body | Identify data types for each column in an input data... |
predict.vetiver_endpoint | Post new data to a deployed model API endpoint and return... |
predict.vetiver_endpoint_sagemaker | Post new data to a deployed SageMaker model endpoint and... |
reexports | Objects exported from other packages |
vetiver_api | Create a Plumber API to predict with a deployable... |
vetiver_compute_metrics | Aggregate model metrics over time for monitoring |
vetiver_create_description | Model constructor methods |
vetiver_create_meta | 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_model | Create a vetiver object for deployment of a trained model |
vetiver-package | vetiver: Version, Share, Deploy, and Monitor Models |
vetiver_pin_metrics | Update model metrics over time for monitoring |
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_pr_predict | Create a Plumber API to predict with a deployable... |
vetiver_python_requirements | Use extra files required for deployment |
vetiver_sm_build | Deploy a vetiver model API to Amazon SageMaker with modular... |
vetiver_sm_delete | Delete Amazon SageMaker model, endpoint, and endpoint... |
vetiver_type_convert | Convert new data at prediction time using input data... |
vetiver_write_docker | Write a Dockerfile for a vetiver model |
vetiver_write_plumber | Write a deployable Plumber file for a vetiver model |
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