def __init__(self, relations,
before_dist_1_beginning_dist_2_beginning, same_dist_1_beginning_dist_2_beginning,
before_dist_1_beginning_dist_2_ending, same_dist_1_beginning_dist_2_ending,
before_dist_1_ending_dist_2_beginning, same_dist_1_ending_dist_2_beginning,
before_dist_1_ending_dist_2_ending, same_dist_1_ending_dist_2_ending):
self.relations = relations
self[dist_1_beginning, dist_2_beginning] = (
before_dist_1_beginning_dist_2_beginning,
same_dist_1_beginning_dist_2_beginning
)
self[dist_1_beginning, dist_2_ending] = (
before_dist_1_beginning_dist_2_ending,
same_dist_1_beginning_dist_2_ending
)
self[dist_1_ending, dist_2_beginning] = (
before_dist_1_ending_dist_2_beginning,
same_dist_1_ending_dist_2_beginning
)
self[dist_1_ending, dist_2_ending] = (
before_dist_1_ending_dist_2_ending,
same_dist_1_ending_dist_2_ending
)
self.formula = FormulaCreator(self)
class Individual(dict):
combinations = [
(dist_1_beginning, dist_2_beginning),
(dist_1_beginning, dist_2_ending),
(dist_1_ending, dist_2_beginning),
(dist_1_ending, dist_2_ending)
]
def __init__(self, relations,
before_dist_1_beginning_dist_2_beginning, same_dist_1_beginning_dist_2_beginning,
before_dist_1_beginning_dist_2_ending, same_dist_1_beginning_dist_2_ending,
before_dist_1_ending_dist_2_beginning, same_dist_1_ending_dist_2_beginning,
before_dist_1_ending_dist_2_ending, same_dist_1_ending_dist_2_ending):
self.relations = relations
self[dist_1_beginning, dist_2_beginning] = (
before_dist_1_beginning_dist_2_beginning,
same_dist_1_beginning_dist_2_beginning
)
self[dist_1_beginning, dist_2_ending] = (
before_dist_1_beginning_dist_2_ending,
same_dist_1_beginning_dist_2_ending
)
self[dist_1_ending, dist_2_beginning] = (
before_dist_1_ending_dist_2_beginning,
same_dist_1_ending_dist_2_beginning
)
self[dist_1_ending, dist_2_ending] = (
before_dist_1_ending_dist_2_ending,
same_dist_1_ending_dist_2_ending
)
self.formula = FormulaCreator(self)
def compare(self, dist_1_key=dist_1_beginning, dist_2_key=dist_2_beginning):
before, same = self[dist_1_key, dist_2_key]
return before, same, 1 - before
def fitness(self):
actual = self.relations
approximation = self.formula.calculate_relations()
goal, solution = [], []
for relation in all_relations:
goal.append(actual[relation])
solution.append(approximation[relation])
goal, solution = np.array(goal), np.array(solution)
return np.linalg.norm(goal - solution)
def get_composition_data(self):
data = []
for key in self.combinations:
before, same, after = self.compare(*key)
data.append(before)
data.append(same)
return data
def check(self):
from spatiotemporal.temporal_events import FormulaCreator
print self.data
print FormulaCreator(self).calculate_relations().to_vector()
print
if __name__ == "__main__":
from spatiotemporal.temporal_events import FormulaCreator
from spatiotemporal.temporal_events.trapezium import generate_random_events
for i in xrange(50):
A, B = generate_random_events(2)
relations = A * B
formula = FormulaCreator(DecompositionFitter(relations))
print relations.to_list()
relations_estimate = formula.calculate_relations()
print relations_estimate.to_list()
print relations.to_vector() - relations_estimate.to_vector()
print
def check(self):
from spatiotemporal.temporal_events import FormulaCreator
print self.data
print FormulaCreator(self).calculate_relations().to_vector()
print
data = []
for key in self.combinations:
before, same, after = self.compare(*key)
data.append(before)
data.append(same)
return data
def check(self):
from spatiotemporal.temporal_events import FormulaCreator
print self.data
print FormulaCreator(self).calculate_relations().to_vector()
print
if __name__ == '__main__':
from spatiotemporal.temporal_events import FormulaCreator
from spatiotemporal.temporal_events.trapezium import generate_random_events
for i in xrange(50):
A, B = generate_random_events(2)
relations = A * B
print relations.to_list()
# from the 13 relations, learns parameters for all combinations of the
# before, same, and after relationships between the beginning and
# ending distributions of the two intervals
formula = FormulaCreator(DecompositionFitter(relations))
# from these relationships, computes the 13 relations again
relations_estimate = formula.calculate_relations()
print relations_estimate.to_list()
print relations.to_vector() - relations_estimate.to_vector()
print
