:py:mod:`gnn_tracking_hpo.cluster_scans`
========================================

.. py:module:: gnn_tracking_hpo.cluster_scans


Module Contents
---------------


Functions
~~~~~~~~~

.. autoapisummary::

   gnn_tracking_hpo.cluster_scans.fixed_dbscan_scan
   gnn_tracking_hpo.cluster_scans.reduced_dbscan_scan



.. py:function:: fixed_dbscan_scan(graphs: numpy.ndarray, truth: numpy.ndarray, sectors: numpy.ndarray, pts: numpy.ndarray, reconstructable: numpy.ndarray, *, guide='trk.double_majority_pt1.5', epoch=None, start_params: dict[str, Any] | None = None) -> gnn_tracking.postprocessing.clusterscanner.ClusterScanResult

   Convenience function for not scanning for DBSCAN hyperparameters at all.


.. py:function:: reduced_dbscan_scan(graphs: list[numpy.ndarray], truth: list[numpy.ndarray], sectors: list[numpy.ndarray], pts: list[numpy.ndarray], reconstructable: list[numpy.ndarray], *, guide='trk.double_majority_pt0.9', epoch=None, start_params: dict[str, Any] | None = None, node_mask: list[numpy.ndarray] | None = None) -> gnn_tracking.postprocessing.clusterscanner.ClusterScanResult

   Convenience function for scanning DBSCAN hyperparameters with trial count
   that depends on the epoch (using many trials early on, then alternating between
   fixed and low samples in later epochs).