Vetiver:v0.2.5.post9+gf6fd5bb
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. |