def populate_conditional(conditional, node, f_locals):
    if node.scope_member:
        node.scope_member.set_slot(conditional, f_locals)
    if node.identifier:
        f_locals[node.identifier] = conditional
    conditional._cdata.append((node, f_locals))
Load the SVHN dataset where only a fraction of data points are labeled. The amount
dataset/ETHPy150Open ContinuumIO/ashiba/enaml/enaml/core/conditional.py/populate_conditional--crossover with--dataset/ETHPy150Open larsmaaloee/auxiliary-deep-generative-models/data_loaders/svhn.py/load_semi_supervised