Fix error messages to include correct class/section name for missing config parameters.

Author: CodeReclaimers

examples/openai-lander/config

@@ -1,5 +1,3 @@
-# neat-python configuration for the LunarLander-v2 environment on OpenAI Gym
-
 [NEAT]
 pop_size              = 150
 # Note: the fitness threshold will never be reached because
@@ -8,6 +6,8 @@ fitness_criterion     = max
 fitness_threshold     = 1000.0
 reset_on_extinction   = 0
 
+no_fitness_termination         = False
+
 [LanderGenome]
 num_inputs              = 8
 num_hidden              = 0
@@ -28,13 +28,15 @@ aggregation_options     = sum
 aggregation_mutate_rate = 0.0
 bias_init_mean          = 0.0
 bias_init_stdev         = 1.0
+bias_init_type          = gaussian
 bias_replace_rate       = 0.02
 bias_mutate_rate        = 0.8
 bias_mutate_power       = 0.4
 bias_max_value          = 30.0
 bias_min_value          = -30.0
 response_init_mean      = 1.0
 response_init_stdev     = 0.0
+response_init_type      = gaussian
 response_replace_rate   = 0.0
 response_mutate_rate    = 0.1
 response_mutate_power   = 0.01
@@ -45,12 +47,18 @@ weight_max_value        = 30
 weight_min_value        = -30
 weight_init_mean        = 0.0
 weight_init_stdev       = 1.0
+weight_init_type        = gaussian
 weight_mutate_rate      = 0.8
 weight_replace_rate     = 0.02
 weight_mutate_power     = 0.4
 enabled_default         = True
 enabled_mutate_rate     = 0.01
 
+single_structural_mutation = false
+structural_mutation_surer = default
+enabled_rate_to_true_add = 0.0
+enabled_rate_to_false_add = 0.0
+
 [DefaultSpeciesSet]
 compatibility_threshold = 3.0
 
@@ -63,3 +71,5 @@ species_elitism      = 4
 elitism            = 2
 survival_threshold = 0.2
 
+min_species_size               = 2
+

neat/genome.py

@@ -186,7 +186,7 @@ class DefaultGenome(object):
     def parse_config(cls, param_dict):
         param_dict['node_gene_type'] = DefaultNodeGene
         param_dict['connection_gene_type'] = DefaultConnectionGene
-        return DefaultGenomeConfig(param_dict, 'DefaultGenome')
+        return DefaultGenomeConfig(param_dict, cls.__name__)
 
     @classmethod
     def write_config(cls, f, config):