Semi-Supervised Scoring Documentation ========================== .. automodule:: pyprophet.scoring :no-members: :no-inherited-members: .. currentmodule:: pyprophet.scoring .. autosummary:: :nosignatures: :toctree: generated/ :template: class.rst scoring Runner ---------------- .. currentmodule:: pyprophet.scoring.runner .. autosummary:: :nosignatures: :toctree: generated/ :template: class.rst PyProphetRunner PyProphetLearner PyProphetWeightApplier PyProphet ---------------- .. currentmodule:: pyprophet.scoring.pyprophet .. autosummary:: :nosignatures: :toctree: generated/ :template: class.rst PyProphet Scorer Semi-Supervised ---------------- .. currentmodule:: pyprophet.scoring.semi_supervised .. autosummary:: :nosignatures: :toctree: generated/ :template: class.rst AbstractSemiSupervisedLearner StandardSemiSupervisedLearner Classifiers ---------------- .. currentmodule:: pyprophet.scoring.classifiers .. autosummary:: :nosignatures: :toctree: generated/ :template: class.rst AbstractLearner LinearLearner LDALearner SVMLearner XGBLearner HistGBCLearner Data Handling ---------------- .. currentmodule:: pyprophet.scoring.data_handling .. autosummary:: :nosignatures: :toctree: generated/ :template: class.rst Experiment prepare_data_table cleanup_and_check check_for_unique_blocks update_chosen_main_score_in_table use_metabolomics_scores