1 pipelines.oracle_rri_labeler

pipelines.oracle_rri_labeler

End-to-end oracle RRI label generation pipeline (non-Streamlit).

This module provides a small orchestration layer that is reusable in:

the Streamlit dashboard (visualization),
offline dataset preprocessing, and
training-time online label generation (candidates + oracle RRI).

The goal is to make data-flow explicit and to keep performance controls local to the compute code (chunk sizes, backprojection stride, etc.).

1.1 Classes

Name	Description
OracleRriLabelerConfig	Config-as-factory wrapper for `OracleRriLabeler`.
OracleRriLabeler	Compute oracle RRI labels for candidates in a single snippet.

# pipelines.oracle_rri_labeler { #aria_nbv.pipelines.oracle_rri_labeler }

`pipelines.oracle_rri_labeler`

End-to-end oracle RRI label generation pipeline (non-Streamlit).

This module provides a small orchestration layer that is reusable in:

- the Streamlit dashboard (visualization),
- offline dataset preprocessing, and
- training-time *online* label generation (candidates + oracle RRI).

The goal is to make data-flow explicit and to keep performance controls
local to the compute code (chunk sizes, backprojection stride, etc.).

## Classes

| Name | Description |
| --- | --- |
| [OracleRriLabelerConfig](aria_nbv.pipelines.oracle_rri_labeler.OracleRriLabelerConfig.qmd#aria_nbv.pipelines.oracle_rri_labeler.OracleRriLabelerConfig) | Config-as-factory wrapper for `OracleRriLabeler`. |
| [OracleRriLabeler](aria_nbv.pipelines.oracle_rri_labeler.OracleRriLabeler.qmd#aria_nbv.pipelines.oracle_rri_labeler.OracleRriLabeler) | Compute oracle RRI labels for candidates in a single snippet. |