| | |
|
a | |
|
activations |
Has the built-in activation functions, code for using them, and code for adding new user-defined ones. |
|
aggregations |
Has the built-in aggregation functions, code for using them, and code for adding new user-defined ones. |
|
attributes |
Deals with attributes used by genes. |
| | |
|
c | |
|
checkpoint |
Uses `pickle` to save and restore populations (and other aspects of the simulation state). |
|
config |
Does general configuration parsing; used by other classes for their configuration. |
|
ctrnn |
Handles the continuous-time recurrent neural network implementation. |
| | |
|
d | |
|
distributed |
Distributed evaluation of genomes. |
| | |
|
g | |
|
genes |
Handles node and connection genes. |
|
genome |
Handles genomes (individuals in the population). |
|
graphs |
Directed graph algorithm implementations. |
| | |
|
i | |
|
iznn |
Implements a spiking neural network (closer to in vivo neural networks) based on Izhikevich's 2003 model. |
| | |
|
m | |
|
math_util |
Contains some mathematical functions not found in the Python2 standard library, plus a mechanism for looking up some commonly used functions (such as for the species_fitness_func) by name. |
|
multiparameter |
The basis for multiparameter activation and aggregation functions. |
| | |
|
n | |
 |
nn |
Handles standard neural networks, either feed-forward or recurrent. |
|
nn.feed_forward |
A straightforward feed-forward neural network NEAT implementation. |
|
nn.recurrent |
A recurrent (but otherwise straightforward) neural network NEAT implementation. |
| | |
|
p | |
|
parallel |
Runs evaluation functions in parallel subprocesses in order to evaluate multiple genomes at once. |
|
population |
Implements the core evolution algorithm. |
| | |
|
r | |
|
reporting |
Makes possible reporter classes, which are triggered on particular events and may provide information to the user, may do something else such as checkpointing, or may do both. |
|
reproduction |
Handles creation of genomes, either from scratch or by sexual or asexual reproduction from parents. |
| | |
|
s | |
|
six_util |
Provides Python 2/3 portability with three dictionary iterators; copied from the `six` module. |
|
species |
Divides the population into species based on genomic distances. |
|
stagnation |
Keeps track of whether species are making progress and helps remove ones that are not (for a configurable number of generations). |
|
statistics |
Gathers and provides (to callers and/or to a file) information on genome and species fitness, which are the most-fit genomes, and similar. |
| | |
|
t | |
|
threaded |
Runs evaluation functions in parallel threads in order to evaluate multiple genomes at once. |