def reshape_value(self,value,row_index):
reshaped_values = []
if value == NONE_VALUE:
value = _exec_func_code(self.default_function_code,self.table,self,row_index)
if self.has_class():
if len(self.classes)>2:
for feature in self.classes:
if value == feature:
reshaped_values.append(1.0)
else:
reshaped_values.append(0.0)
else: #Binary class
if self.get_type() == TEXT_TYPE:
if value == self.common_value:
reshaped_values.append(1.0)
else:
reshaped_values.append(0.0)
else:
reshaped_values.append(float(value))
else: # no class
if self.get_type() == TEXT_TYPE: #text
for feature in self.classes:
if feature in self.text_analyzer.build_analyzer()(unicode(value)) :
reshaped_values.append(1.0)
else:
reshaped_values.append(0.0)
else: #numeric
reshaped_values.append(float(value))
return reshaped_values
def reshape_target(self,value,row_index):
#if undefined value, then compute the default value function
if value == NONE_VALUE:
value = _exec_func_code(self.default_function_code,self.table,self,row_index)
#Convert TEXT target value as Int value for model compliance
if self.get_type() == TEXT_TYPE:
assert self.has_class(),"Unclassed Text Feature cannot be a target"
value = self.classes.index(value)
return value
