Vetiver:v0.2.4

Version

VetiverModel	Create VetiverModel class for serving.
vetiver_pin_write	Pin a trained VetiverModel along with other model metadata.
vetiver_create_prototype	Create zero row structure to save data types
templates.model_card	Create a model card for documentation

Deploy

VetiverAPI	Create model aware API
VetiverAPI.run	Start API
VetiverAPI.vetiver_post	Create new POST endpoint that is aware of model input data
vetiver_endpoint	Wrap url where VetiverModel will be deployed
predict	Make a prediction from model endpoint
write_app	Write VetiverAPI app to a file
prepare_docker	Create all files needed for Docker
write_docker
deploy_rsconnect	Deploy to Posit Connect

Monitor

compute_metrics	Compute metrics for given time period
pin_metrics	Update an existing pin storing model metrics over time
plot_metrics	Plot metrics over a given time period
templates.monitoring_dashboard	Generate a monitoring dashboard template

Model Handlers

BaseHandler	Base handler class for creating VetiverModel of different type.
SKLearnHandler	Handler class for creating VetiverModels with sklearn.
TorchHandler	Handler class for creating VetiverModels with torch.
StatsmodelsHandler	Handler class for creating VetiverModels with statsmodels.
XGBoostHandler	Handler class for creating VetiverModels with xgboost.
SpacyHandler	Handler class for creating VetiverModels with spacy.