api_spec | Update the OpenAPI specification using model metadata |
attach_pkgs | Fully attach or load packages for making model predictions |
glue_spec_summary | Update the OpenAPI specification using model metadata |
glue_spec_summary.array | Update the OpenAPI specification using model metadata |
glue_spec_summary.data.frame | Update the OpenAPI specification using model metadata |
glue_spec_summary.default | Update the OpenAPI specification using model metadata |
handler_predict | Model handler functions for API endpoint |
handler_predict.default | Model handler functions for API endpoint |
handler_predict.glm | Model handler functions for API endpoint |
handler_predict.Learner | Model handler functions for API endpoint |
handler_predict.lm | Model handler functions for API endpoint |
handler_predict.ranger | Model handler functions for API endpoint |
handler_predict.train | Model handler functions for API endpoint |
handler_predict.workflow | Model handler functions for API endpoint |
handler_predict.xgb.Booster | Model handler functions for API endpoint |
handler_startup | Model handler functions for API endpoint |
handler_startup.default | Model handler functions for API endpoint |
handler_startup.Learner | Model handler functions for API endpoint |
handler_startup.ranger | Model handler functions for API endpoint |
handler_startup.train | Model handler functions for API endpoint |
handler_startup.workflow | Model handler functions for API endpoint |
handler_startup.xgb.Booster | Model handler functions for API endpoint |
load_pkgs | Fully attach or load packages for making model predictions |
map_request_body | Identify data types for each column in an input data prototype |
new_vetiver_model | Create a vetiver object for deployment of a trained model |
predict.vetiver_endpoint | Post new data to a deployed model API endpoint and return predictions |
vetiver_api | Create a Plumber API to predict with a deployable 'vetiver_model()' object |
vetiver_create_description | Model constructor methods |
vetiver_create_description.default | Model constructor methods |
vetiver_create_description.glm | Model constructor methods |
vetiver_create_description.Learner | Model constructor methods |
vetiver_create_description.lm | Model constructor methods |
vetiver_create_description.ranger | 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.Learner | Metadata constructors for 'vetiver_model()' object |
vetiver_create_meta.ranger | 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_deploy_rsconnect | Deploy a vetiver model API to RStudio Connect |
vetiver_endpoint | Create a 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_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_prepare_model | Model constructor methods |
vetiver_prepare_model.default | Model constructor methods |
vetiver_prepare_model.glm | Model constructor methods |
vetiver_prepare_model.Learner | Model constructor methods |
vetiver_prepare_model.lm | Model constructor methods |
vetiver_prepare_model.ranger | Model constructor methods |
vetiver_prepare_model.train | Model constructor methods |
vetiver_prepare_model.workflow | 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.glm | 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.ranger | 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_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 |