Changeset 1140 for framspy/evolalg/examples/niching_novelty.py

Timestamp:

05/08/21 20:10:15 (3 years ago)

Author:

Maciej Komosinski

Message:

Introduced a parameter for the size of the hall of fame

File:

• framspy/evolalg/examples/niching_novelty.py (modified) (2 diffs)

framspy/evolalg/examples/niching_novelty.py

@@ -77 +77 @@
     parser.add_argument('-max_numconnections', type=int, default=None, help="Maximum number of Neural connections. Default: no limit")
 
+    parser.add_argument('-hof_size', type=int, default=10, help="Number of genotypes in Hall of Fame. Default: 10.")
     parser.add_argument('-hof_evaluations', type=int, default=20, help="Number of final evaluations of each genotype in Hall of Fame to obtain reliable (averaged) fitness. Default: 20.")
     parser.add_argument('-checkpoint_path', required=False, default=None, help="Path to the checkpoint file")
@@ -243 +244 @@
     # -------------------------------------------------
     # Statistics
-    hall_of_fame = HallOfFameStatistics(100, "fitness_raw")  # Wrapper for halloffamae
+    hall_of_fame = HallOfFameStatistics(parsed_args.hof_size, "fitness_raw")  # Wrapper for halloffamae
     replace_with_hof = ReplaceWithHallOfFame(hall_of_fame)
     statistics_deap = StatisticsDeap([