def get_model(image_size, subject_names):
    # Define the Fisherfaces Method as Feature Extraction method:
    feature = Fisherfaces()
    # Define a 1-NN classifier with Euclidean Distance:
    classifier = NearestNeighbor(dist_metric=EuclideanDistance(), k=1)
    # Return the model as the combination:
    return ExtendedPredictableModel(feature=feature, classifier=classifier, image_size=image_size, subject_names=subject_names)
.. todo::
dataset/ETHPy150Open bytefish/facerec/py/apps/videofacerec/simple_videofacerec.py/get_model--crossover with--dataset/ETHPy150Open lisa-lab/pylearn2/pylearn2/datasets/preprocessing.py/ExamplewiseAddScaleTransform.get_output_space