

def __init__(self, model, max_iter=100, C=1.0, verbose=0, momentum=0.0, learning_rate='auto', n_jobs=1, show_loss_every=0, decay_exponent=1, decay_t0=10, break_on_no_constraints=True, logger=None, averaging=None):
    SubgradientSSVM.__init__(self, model, max_iter, C, verbose=verbose, n_jobs=n_jobs, show_loss_every=C, decay_exponent=decay_exponent, momentum=momentum, learning_rate=learning_rate, break_on_no_constraints=break_on_no_constraints, logger=logger, decay_t0=decay_t0, averaging=averaging)

dataset/ETHPy150Open pystruct/pystruct/pystruct/learners/subgradient_latent_ssvm.py SubgradientLatentSSVM.__init__/VarMisuse@82/122 `show_loss_every`->`C`