mlflow (version 3.6.0)

mlflow_register_external_observer: Register an external MLflow observer

Description

Registers an external MLflow observer that will receive a `register_tracking_event(event_name, data)` callback on any model tracking event such as "create_run", "delete_run", or "log_metric". Each observer should have a `register_tracking_event(event_name, data)` callback accepting a character vector `event_name` specifying the name of the tracking event, and `data` containing a list of attributes of the event. The callback should be non-blocking, and ideally should complete instantaneously. Any exception thrown from the callback will be ignored.

Usage

mlflow_register_external_observer(observer)

Arguments

observer

The observer object (see example)

Examples

library(mlflow)

observer <- structure(list())
observer$register_tracking_event <- function(event_name, data) {
  print(event_name)
  print(data)
}
mlflow_register_external_observer(observer)