def __init__(self, model, max_iter=10000, C=1.0, check_constraints=False,
verbose=0, negativity_constraint=None, n_jobs=1,
break_on_bad=False, show_loss_every=0, tol=1e-3,
inference_cache=0, inactive_threshold=1e-5,
inactive_window=50, logger=None, cache_tol='auto',
switch_to=None):
Pystruct_OneSlackSSVM.__init__(self, model, max_iter=max_iter, C=C, check_constraints=check_constraints,
verbose=verbose, negativity_constraint=negativity_constraint, n_jobs=n_jobs,
break_on_bad=break_on_bad, show_loss_every=show_loss_every, tol=tol,
inference_cache=inference_cache, inactive_threshold=inactive_threshold,
inactive_window=inactive_window, logger=logger, cache_tol=cache_tol,
switch_to=switch_to)
def __init__(self,
model,
max_iter=10000,
C=1.0,
check_constraints=False,
verbose=0,
negativity_constraint=None,
positivity_constraint=None,
null_constraints=None,
hard_constraints=None,
n_jobs=1,
break_on_bad=False,
show_loss_every=0,
tol=1e-3,
inference_cache=0,
inactive_threshold=1e-5,
inactive_window=50,
logger=None,
cache_tol='auto',
switch_to=None,
generate_hard_constraints=None,
initialize_constraints=None,
qp_eps=1e-5):
OneSlackSSVM.__init__(self, model, max_iter, C, check_constraints,
verbose, negativity_constraint,
positivity_constraint, hard_constraints, n_jobs,
break_on_bad, show_loss_every, tol,
inference_cache, inactive_threshold,
inactive_window, logger, cache_tol, switch_to)
if (hard_constraints, positivity_constraint, negativity_constraint,
generate_hard_constraints) is (None, None, None, None):
self.hard_satisfied = True
else:
# there are hard constraints to satisfy
self.hard_satisfied = False
self.null_constraints = null_constraints
self.generate_hard_constraints = generate_hard_constraints
self.initialize_constraints = initialize_constraints
self.cutting_constraints = []
self._inference_calls = 0
self.qp_eps = qp_eps
self.converged = False
