xpectra.ssl_loso_experiment

xpectra.ssl_loso_experiment(estimator, X_lab, y_lab, study, X_unlab, threshold=0.9, max_iter=3, n_neighbors=10, pca_components=50, random_state=42)

Per LOSO fold: supervised-only vs self-training vs label-spreading, all evaluated on the held-out study.

Parameters:

• estimator (BaseEstimator)

• X_lab (ndarray)

• y_lab (ndarray)

• study (ndarray)

• X_unlab (ndarray)

• threshold (float)

• max_iter (int)

• n_neighbors (int)

• pca_components (int)

• random_state (int)

Return type:

list[dict[str, Any]]