Configuration

This page describes how to configure the tracking module that forwards the pipeline’s output to a tracking backend.

Options

Name

Allowed

Default

Description

_target_

"MLFlowTracker"

"MLFlowTracker"

Hydra target for the tracking backend implementation.

output_forwarding_url

string, null

null

Tracking URI used by the backend. For MLFlowTracker, this is passed to MLflow as the tracking URI. It can point to a local path or an HTTP endpoint. If not set, it falls back to ./mlruns.

log_model

boolean

false

Whether to log the assessed model to the tracking backend. Note that this might take significant time and resources for large models.

open_when_done

boolean

true

Whether to open the tracking UI automatically after the run completes.

YAML example

tracking:
  _target_: "MLFlowTracker"
  output_forwarding_url: "http://127.0.0.1:5000"
  log_model: true

CLI override example

uv run raitap tracking=mlflow tracking.log_model=true

raitap tracking=mlflow tracking.log_model=true