def get_learner_parameters(self):
from Orange.widgets.report import plural_w
items = OrderedDict()
items["Pruning"] = (", ".join(s for s, c in (
(
plural_w("at least {number} instance{s} in leaves",
self.min_leaf),
self.limit_min_leaf,
),
(
plural_w(
"at least {number} instance{s} in internal nodes",
self.min_internal,
),
self.limit_min_internal,
),
("maximum depth {}".format(self.max_depth), self.limit_depth),
) if c) or "None")
if self.limit_majority:
items["Splitting"] = ("Stop splitting when majority reaches %d%% "
"(classification only)" %
self.sufficient_majority)
items["Binary trees"] = ("No", "Yes")[self.binary_trees]
return items
def get_learner_parameters(self):
from Orange.widgets.report import plural_w
items = OrderedDict()
items["Pruning"] = ", ".join(s for s, c in (
(plural_w("at least {number} instance{s} in leaves",
self.min_leaf), self.limit_min_leaf),
(plural_w("at least {number} instance{s} in internal nodes",
self.min_internal), self.limit_min_internal),
("maximum depth {}".format(self.max_depth), self.limit_depth)
) if c) or "None"
if self.limit_majority:
items["Splitting"] = "Stop splitting when majority reaches %d%% " \
"(classification only)" % \
self.sufficient_majority
items["Binary trees"] = ("No", "Yes")[self.binary_trees]
return items