HIRISE_api.models.Ensemble_Models

Functions

ensemble_model(encoded_data, labels, ...[, ...])

evaluate_model(model, translation_dataframe, ...)

Function that uses cross-validation and evalutes the stacking model.

get_models([discovery])

Function that defines specified models as an input to the ensemble model.

get_stacking([discovery, all_models])

Function that stacks specified models together as an input to the ensemble model.

Classes

AgglomerativeClusteringWrapper([n_clusters, ...])

DBSCANWrapper([eps, min_samples, metric, ...])

HDBSCANWrapper([min_cluster_size, ...])

OpticsWrapper(*[, min_samples, max_eps, ...])