def __init__(self, data=None, metadata={},call_setup=True,
subset=[], # Subset of classes to include
include_class=True # Whether to include the class field
):
MLProblem.__init__(self,data,metadata)
self.subset=subset
self.include_class = include_class
self.__length__ = None
if 'class_subset_length' in self.metadata: # Gives a chance to set length through metadata
self.__length__ = self.metadata['class_subset_length']
del self.metadata['class_subset_length'] # So that it isn't passed to subsequent mlproblems
else:
# Since len(data) won't give the right answer, figure out what the length is by an exhaustive count
parent_ids = set([])
parent_class_to_id = self.metadata['class_to_id']
for c in self.subset:
parent_ids.add(parent_class_to_id[c])
self.__length__ = 0
for input,target in self.data:
if target in parent_ids:
self.__length__+=1
if call_setup: ClassSubsetProblem.setup(self)
def __init__(
self,
data=None,
metadata={},
call_setup=True,
subset=[], # Subset of classes to include
include_class=True # Whether to include the class field
):
MLProblem.__init__(self, data, metadata)
self.subset = subset
self.include_class = include_class
self.__length__ = None
if 'class_subset_length' in self.metadata: # Gives a chance to set length through metadata
self.__length__ = self.metadata['class_subset_length']
del self.metadata[
'class_subset_length'] # So that it isn't passed to subsequent mlproblems
else:
# Since len(data) won't give the right answer, figure out what the length is by an exhaustive count
parent_ids = set([])
parent_class_to_id = self.metadata['class_to_id']
for c in self.subset:
parent_ids.add(parent_class_to_id[c])
self.__length__ = 0
for input, target in self.data:
if target in parent_ids:
self.__length__ += 1
if call_setup: ClassSubsetProblem.setup(self)
def __init__(self, data=None, metadata={},call_setup=True):
MLProblem.__init__(self,data,metadata)
if call_setup: ClassificationProblem.setup(self)
def __init__(self, data=None, metadata={}, call_setup=True):
MLProblem.__init__(self, data, metadata)
if call_setup: ClassificationProblem.setup(self)
