def find_max_min(self):
"""
If the X_domain is not defined by the user, we find the largest
and smallest value taken in each feature.
:return:
"""
max_val = find_max(self.training_instances)
min_val = find_min(self.training_instances)
self.domain = (min_val, max_val)
def set_boundaries(self, train_instances):
"""
Setting the x_min and x_max by estimating the smallest and largest
value from the training data.
:param train_instances:
:return: None
"""
self.x_min = find_min(train_instances)
self.x_max = find_max(train_instances)
def set_boundaries(self, train_instances):
"""
Setting the x_min and x_max by estimating the smallest and largest
value from the training data.
:param train_instances:
:return: None
"""
# warning: find_min and find_max currently not working as intended
self.x_min = find_min(train_instances)
self.x_max = find_max(train_instances)