rid.select package

Submodules

rid.select.cluster module

class rid.select.cluster.Cluster(cvs: Union[ndarray, List], threshold: float, task_name: str, angular_mask: Optional[Union[ndarray, List]] = None, weights: Optional[Union[ndarray, List]] = None, max_search_step: int = 500, max_selection: int = 1000)[source]

Bases: object

get_cluster_selection()[source]

make_threshold(numb_cluster_lower, numb_cluster_upper)[source]

rid.select.cluster.chooseClusterCenter(dist: ndarray, conf_ids: list)[source]

rid.select.cluster.cv_dist(cv1, cv2, angular_mask, weights)[source]

rid.select.cluster.mk_cluster(dist, distance_threshold)[source]

rid.select.cluster.mk_dist(cv, angular_mask, weights)[source]

rid.select.cluster.sel_from_cluster(cvs, threshold, task_path, angular_mask=None, weights=None, max_selection=1000)[source]

rid.select package

Submodules

rid.select.cluster module

rid.select.conf_select module

rid.select.model_devi module