MetricsCollector

class autotm.visualization.dynamic_tracker.MetricsCollector(dataset, n_specific_topics, experiment_id=None, save_path='./metrics/')

save_crossover(generation: int, parent_1: list, parent_2: list, child_1: list, parent_1_fitness: float, parent_2_fitness: float, child_1_fitness: float, child_2: Optional[list] = None, child_2_fitness: Optional[list] = None)

Parameters:

• generation – generation number

• parent_1 – parameters of the first parent

• parent_2 – parameters of the second parent

• child_1 – parameters of the first child

• parent_1_fitness – fitness of the first parent

• parent_2_fitness – fitness of the second parent

• child_1_fitness – fitness of the firs child

• child_2 – parameters of the second child if exists

• child_2_fitness – fitness of the second child if exists

Returns:

save_fitness(generation: int, params: list, fitness: float)

Parameters:

• generation – id of the generation

• params – hyperparameters of the individ

• fitness – fitness value

Returns: