def load_model()

in notebooks/modelscript_ensemble_sklearn.py [0:0]

• 10 lines of code
• 1 McCabe index (conditional complexity)

def load_model(modelpath):
    print(modelpath)
    
    # Either load individually
    print("loading individuals")
    logistic = load(os.path.join(modelpath,'logistic.joblib'))
    cart = load(os.path.join(modelpath,'cart.joblib'))
    svm = load(os.path.join(modelpath,'svm.joblib'))
    
    # Or load the entire ensemble
    print("loading ensemble")
    ensemble = load(os.path.join(modelpath,'ensemble.joblib'))
    print("loaded")
    return ensemble