def setup():
    global PAN_ALLELE_PREDICTOR
    startup()
    PAN_ALLELE_PREDICTOR = Class1AffinityPredictor.load(
        get_path("models_class1_pan", "models.combined"),
        optimization_level=0,
    )
Example #2
0
def setup():
    global ALLELE_SPECIFIC_PREDICTOR, PAN_ALLELE_PREDICTOR
    startup()
    ALLELE_SPECIFIC_PREDICTOR = Class1AffinityPredictor.load(
        get_path("models_class1", "models"))

    PAN_ALLELE_PREDICTOR = Class1AffinityPredictor.load(
        get_path("models_class1_pan", "models.with_mass_spec"))
Example #3
0
def setup():
    global PREDICTORS
    startup()
    PREDICTORS = {
        'allele-specific':
        Class1AffinityPredictor.load(get_path("models_class1", "models")),
        'pan-allele':
        Class1AffinityPredictor.load(
            get_path("models_class1_pan", "models.combined"))
    }
Example #4
0
def setup():
    global AFFINITY_PREDICTOR
    global CLEAVAGE_PREDICTOR
    global CLEAVAGE_PREDICTOR_NO_FLANKING
    global PRESENTATION_PREDICTOR
    startup()
    AFFINITY_PREDICTOR = Class1AffinityPredictor.load(get_path(
        "models_class1_pan", "models.combined"),
                                                      optimization_level=0,
                                                      max_models=1)
    CLEAVAGE_PREDICTOR = Class1ProcessingPredictor.load(get_path(
        "models_class1_processing", "models.selected.with_flanks"),
                                                        max_models=1)
    CLEAVAGE_PREDICTOR_NO_FLANKING = Class1ProcessingPredictor.load(
        get_path("models_class1_processing", "models.selected.no_flank"),
        max_models=1)
    PRESENTATION_PREDICTOR = Class1PresentationPredictor.load()
def setup():
    global DOWNLOADED_PREDICTOR
    startup()
    DOWNLOADED_PREDICTOR = Class1AffinityPredictor.load()
    logging.basicConfig(level=logging.DEBUG)
def setup():
    global DOWNLOADED_PREDICTOR
    startup()
    DOWNLOADED_PREDICTOR = Class1AffinityPredictor.load()