Index

_

__call__() (reproduction.GenomeDistanceCache method) __del__() (parallel.ParallelEvaluator method) __enter__() (parallel.ParallelEvaluator method) __exit__() (parallel.ParallelEvaluator method)

__getitem__() (aggregations.AggregationFunctionSet method) __lt__() (genes.BaseGene method) __repr__() (config.ConfigParameter method) __str__() (genes.BaseGene method) (genome.DefaultGenome method)

A

activate() (nn.feed_forward.FeedForwardNetwork method) (nn.recurrent.RecurrentNetwork method) activation function, [1], [2], [3], [4], [5] ActivationFunctionSet (class in activations) activations module add() (activations.ActivationFunctionSet method) (aggregations.AggregationFunctionSet method) (reporting.ReporterSet method) add_activation() (genome.DefaultGenomeConfig method)

add_aggregation() (genome.DefaultGenomeConfig method) add_connection() (genome.DefaultGenome method) advance() (ctrnn.CTRNN method) (iznn.IZNeuron method) (iznn.IZNN method) aggregation function, [1], [2], [3], [4] AggregationFunctionSet (class in aggregations) aggregations module attributes, [1], [2], [3], [4], [5], [6], [7] module

B

BaseAttribute (class in attributes) BaseGene (class in genes) BaseReporter (class in reporting) best_genome() (statistics.StatisticsReporter method)

best_genomes() (statistics.StatisticsReporter method) best_unique_genomes() (statistics.StatisticsReporter method) bias, [1] BoolAttribute (class in attributes)

C

CHATTERING_PARAMS (in module iznn) check_structural_mutation_surer(), [1] (genome.DefaultGenomeConfig method) checkpoint module Checkpointer (class in checkpoint) clamp() (attributes.FloatAttribute method) close() (parallel.ParallelEvaluator method) compatibility_disjoint_coefficient, [1], [2] compatibility_enable_penalty compatibility_excess_coefficient compatibility_include_node_genes compatibility_threshold, [1] compatibility_weight_coefficient, [1], [2], [3] complete_extinction() (reporting.BaseReporter method) (reporting.ReporterSet method) CompleteExtinctionException compute_full_connections() (genome.DefaultGenome method) compute_spawn() (reproduction.DefaultReproduction static method) config module Config (class in config) config_item_name() (attributes.BaseAttribute method) ConfigParameter (class in config) configure_crossover() (genome.DefaultGenome method)

configure_new() (genome.DefaultGenome method) conn_add_prob, [1], [2] conn_delete_prob, [1], [2] connect_fs_neat_hidden() (genome.DefaultGenome method) connect_fs_neat_nohidden() (genome.DefaultGenome method) connect_full_direct() (genome.DefaultGenome method) connect_full_nodirect() (genome.DefaultGenome method) connect_partial_direct() (genome.DefaultGenome method) connect_partial_nodirect() (genome.DefaultGenome method) connection, [1], [2], [3], [4], [5], [6], [7], [8], [9] continuous-time, [1], [2] copy() (genes.BaseGene method) create() (ctrnn.CTRNN static method) (iznn.IZNN static method) (nn.feed_forward.FeedForwardNetwork static method) (nn.recurrent.RecurrentNetwork static method) create_connection() (genome.DefaultGenome static method) create_new() (reproduction.DefaultReproduction method) create_node() (genome.DefaultGenome static method) creates_cycle() (in module graphs) crossover, [1], [2], [3] crossover() (genes.BaseGene method) ctrnn module CTRNN (class in ctrnn) CTRNNNodeEval (class in ctrnn)

D

default see X_default DefaultClassConfig (class in config) DefaultConnectionGene (class in genes) DefaultGenome, [1], [2] (class in genome) DefaultGenomeConfig (class in genome) DefaultNodeGene (class in genes) DefaultReproduction, [1] (class in reproduction)

DefaultSpeciesSet (class in reproduction) DefaultStagnation (class in stagnation) discrete-time disjoint, [1], [2] distance() (genes.DefaultConnectionGene method) (genes.DefaultNodeGene method) (genome.DefaultGenome method) (iznn.IZNodeGene method)

E

elitism, [1], [2] enabled, [1] enabled_default, [1] end_generation() (reporting.BaseReporter method) (reporting.ReporterSet method)

evaluate() (parallel.ParallelEvaluator method) excess, [1], [2] export_network_json() (in module neat.export)

F

FAST_SPIKING_PARAMS (in module iznn) feed-forward see feedforward feed_forward, [1], [2], [3] feed_forward_layers() (in module graphs) feedforward, [1], [2] FeedForwardNetwork (class in nn.feed_forward) fitness, [1], [2], [3], [4] fitness criterion

fitness function, [1], [2], [3], [4], [5], [6], [7] fitness_criterion, [1], [2], [3] fitness_sharing fitness_threshold, [1], [2], [3], [4], [5] FloatAttribute (class in attributes) format() (config.ConfigParameter method) found_solution(), [1], [2], [3] (reporting.BaseReporter method) (reporting.ReporterSet method)

G

gene, [1], [2] generation, [1], [2], [3], [4], [5] genes module genetic distance, [1], [2], [3] genome, [1], [2], [3], [4], [5] module GenomeDistanceCache (class in reproduction) genomic distance, [1], [2], [3], [4], [5], [6], [7], [8], [9] get() (activations.ActivationFunctionSet method) (aggregations.AggregationFunctionSet method) get_config_params() (attributes.BaseAttribute method) (genes.BaseGene class method) get_current_innovation_number() (innovation.InnovationTracker method)

get_fitness_mean() (statistics.StatisticsReporter method) get_fitness_median() (statistics.StatisticsReporter method) get_fitness_stat() (statistics.StatisticsReporter method) get_fitness_stdev() (statistics.StatisticsReporter method) get_fitnesses() (reproduction.Species method) get_innovation_number() (innovation.InnovationTracker method) get_new_node_key() (genome.DefaultGenomeConfig method) get_species() (reproduction.DefaultSpeciesSet method) get_species_fitness() (statistics.StatisticsReporter method) get_species_id() (reproduction.DefaultSpeciesSet method) get_species_sizes() (statistics.StatisticsReporter method) get_time_step_msec() (iznn.IZNN method) graphs module

H

hidden node, [1], [2]

homologous, [1], [2]

I

id info(), [1] (reporting.BaseReporter method) (reporting.ReporterSet method) init_attributes() (genes.BaseGene method) init_mean, [1], [2], [3] init_stdev, [1], [2], [3] init_type, [1], [2], [3] init_value() (attributes.BoolAttribute method) (attributes.FloatAttribute method) (attributes.StringAttribute method) initial_connection, [1], [2], [3], [4] innovation module innovation number InnovationTracker (class in innovation)

input node, [1], [2] interpret() (config.ConfigParameter method) interspecies_crossover_prob INTRINSICALLY_BURSTING_PARAMS (in module iznn) InvalidActivationFunction InvalidAggregationFunction is_builtin_activation() (in module neat.export.json_format) is_builtin_aggregation() (in module neat.export.json_format) is_valid() (activations.ActivationFunctionSet method) (aggregations.AggregationFunctionSet method) IZGenome (class in iznn) IZNeuron (class in iznn) iznn module IZNN (class in iznn) IZNodeGene (class in iznn)

K

key, [1], [2], [3], [4], [5], [6]

L

LOW_THRESHOLD_SPIKING_PARAMS (in module iznn)

M

math_util module max_aggregation() (in module aggregations) max_stagnation, [1] max_value, [1], [2], [3] maxabs_aggregation() (in module aggregations) mean() (in module math_util) mean_aggregation() (in module aggregations) median() (in module math_util) median2() (in module math_util) median_aggregation() (in module aggregations) min_aggregation() (in module aggregations) min_species_size, [1], [2] min_value, [1], [2], [3] module activations aggregations attributes checkpoint config ctrnn genes genome graphs innovation iznn math_util neat.export neat.export.json_format nn.feed_forward nn.recurrent parallel population reporting reproduction stagnation statistics

mutate see mutation mutate() (genes.BaseGene method) (genome.DefaultGenome method) mutate_add_connection() (genome.DefaultGenome method) mutate_add_node() (genome.DefaultGenome method) mutate_delete_connection() (genome.DefaultGenome method) mutate_delete_node() (genome.DefaultGenome method) mutate_power, [1], [2], [3] mutate_rate, [1], [2], [3], [4], [5], [6], [7], [8] mutate_value() (attributes.BoolAttribute method) (attributes.FloatAttribute method) (attributes.StringAttribute method) mutation, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14]

N

neat.export module neat.export.json_format module nn.feed_forward module nn.recurrent module

no_fitness_termination, [1], [2], [3], [4] node, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10] node_add_prob, [1], [2] node_delete_prob, [1], [2] num_hidden, [1] num_inputs, [1] num_outputs, [1]

O

options see X_options

output node, [1], [2]

P

parallel module ParallelEvaluator (class in parallel) parse() (config.ConfigParameter method) parse_config() (genes.BaseGene class method) (genome.DefaultGenome class method) (reproduction.DefaultReproduction class method) (reproduction.DefaultSpeciesSet class method) (stagnation.DefaultStagnation class method) pin, [1]

pop_size, [1], [2], [3], [4] population module Population (class in population) post_evaluate() (reporting.BaseReporter method) (reporting.ReporterSet method) (statistics.StatisticsReporter method) post_reproduction() (reporting.BaseReporter method) (reporting.ReporterSet method) product_aggregation() (in module aggregations)

R

random rate_to_false_add, [1] rate_to_true_add, [1] recurrent, [1], [2], [3] RecurrentNetwork (class in nn.recurrent) REGULAR_SPIKING_PARAMS (in module iznn) remove() (reporting.ReporterSet method) replace_rate, [1], [2], [3] ReporterSet (class in reporting) reporting module reproduce() (reproduction.DefaultReproduction method) reproducibility

reproduction, [1] module required_for_output() (in module graphs) reset() (ctrnn.CTRNN method) (iznn.IZNeuron method) (iznn.IZNN method) (nn.recurrent.RecurrentNetwork method) reset_generation() (innovation.InnovationTracker method) reset_on_extinction, [1], [2], [3], [4], [5] RESONATOR_PARAMS (in module iznn) response, [1] restore_checkpoint() (checkpoint.Checkpointer static method) run() (population.Population method)

S

save() (config.Config method) (genome.DefaultGenomeConfig method) (statistics.StatisticsReporter method) save_checkpoint() (checkpoint.Checkpointer method) save_genome_fitness() (statistics.StatisticsReporter method) save_species_count() (statistics.StatisticsReporter method) save_species_fitness() (statistics.StatisticsReporter method) seed set_inputs() (iznn.IZNN method) single_structural_mutation, [1], [2], [3] size() (genome.DefaultGenome method) softmax() (in module math_util) spawn_method speciate() (reproduction.DefaultSpeciesSet method) species, [1], [2] Species (class in reproduction) species_elitism, [1], [2] species_fitness_func, [1], [2]

species_stagnant() (reporting.BaseReporter method) (reporting.ReporterSet method) stagnation, [1], [2], [3] module start_generation() (reporting.BaseReporter method) (reporting.ReporterSet method) stat_functions (in module math_util) statistics module StatisticsReporter (class in statistics) stdev() (in module math_util) StdOutReporter (class in reporting) StringAttribute (class in attributes) structural mutation structural_mutation_surer, [1], [2], [3], [4] sum_aggregation() (in module aggregations) survival_threshold, [1], [2]

T

target_num_species THALAMO_CORTICAL_PARAMS (in module iznn) threshold_adjust_rate

threshold_max threshold_min time_constant

U

UnknownConfigItemError

update() (reproduction.Species method) (stagnation.DefaultStagnation method)

V

validate_activation() (in module activations) validate_aggregation() (in module aggregations)

validate_json() (in module neat.export.json_format) variance() (in module math_util)

W

weight, [1] write_config() (config.DefaultClassConfig class method) (genome.DefaultGenome class method)

write_pretty_params() (in module config)

X

X_default, [1], [2], [3], [4]

X_options, [1], [2], [3]