def create_full_member(data):
member = Member()
columns = data.shape[1]
vectors = []
for column_index in range(0, columns):
member.features.append(column_index)
vectors.append(data[:, column_index])
member.map = np.column_stack(vectors)
return member
def cross_breed(father, mother, data):
member = Member()
features = list(set(mother.features + father.features))
vectors = []
for column_index in range(0, len(features)):
if np.random.randint(0, 2) > 0:
member.features.append(column_index)
vectors.append(data[:, column_index])
member.map = np.column_stack(vectors)
return member
def mutate(source, data):
member = Member()
vectors = []
random = create_new_member(data)
for column_index in range(0, len(source.features)):
if np.random.randint(0, 10) > 3:
member.features.append(column_index)
vectors.append(data[:, column_index])
for column_index in range(0, len(random.features)):
if np.random.randint(0, 10) > 6:
member.features.append(column_index)
vectors.append(data[:, column_index])
member.map = np.column_stack(vectors)
return member
