Added config file documentation page.

Added link to ReadTheDocs from the README.
Updated license copyright.

LICENSE

@@ -1,4 +1,5 @@
 Copyright (c) 2007-2011, cesar.gomes and mirrorballu2
+Copyright (c) 2015, CodeReclaimers, LLC
 All rights reserved.
 
 Redistribution and use in source and binary forms, with or without modification, are permitted provided that the

README.md

@@ -4,6 +4,9 @@ NEAT (NeuroEvolution of Augmenting Topologies) is a method developed by Kenneth
 
 For further information regarding general concepts and theory, please see [Selected Publications](http://www.cs.ucf.edu/~kstanley/#publications) in Stanley's website.
 
+
 ## Getting Started ##
 
 If you want to try neat-python, please check out the repository, start playing with the examples (XOR, single pole balancing, or double pole balancing) and then try creating your own experiment.
+
+The documentation, which is still a work in progress, is available on [Read The Docs](http://neat-python.readthedocs.org/en/latest/).

docs/config_file.rst

@@ -0,0 +1,72 @@
+
+Configuration file format
+=========================
+
+The configuration file is in the format described in the `Python ConfigParser documentation
+<https://docs.python.org/2/library/configparser.html>`_.  Currently, all values must be explicitly enumerated in the
+configuration file.
+
+
+[phenotype] section
+-------------------
+
+* *input_nodes*
+    The number of nodes through which the network receives input.
+
+* *output_nodes*
+    The number of nodes to which the network delivers output.
+
+* *fully_connected*
+    If this evaluates to **True**, then all individuals in the initial population will be created with
+    no hidden nodes, and each output will have  randomly-configured connection to each input.
+    Otherwise, the initial population's members will have no hidden nodes, and each output will have
+    *only one* randomly-configured connection to a random input.
+
+* *max_weight*, *min_weight*
+    Connection weights will be limited to this range.
+
+* *feedforward*
+
+* *nn_activation*
+    Type of activation function to be used to build networks.
+
+* *hidden_nodes*
+* *weight_stdev*
+    The standard deviation of the zero-centered normal distribution used to generate initial and replacement weights.
+
+[genetic] section
+-----------------
+* *pop_size*
+* *max_fitness_threshold*
+* *prob_addconn*
+* *prob_addnode*
+* *prob_deleteconn*
+* *prob_deletenode*
+* *prob_mutatebias*
+* *bias_mutation_power*
+* *prob_mutate_response*
+* *response_mutation_power*
+* *prob_mutate_weight*
+* *weight_mutation_power*
+* *prob_togglelink*
+* *elitism*
+
+[genotype compatibility] section
+--------------------------------
+* *compatibility_threshold*
+* *compatibility_change*
+* *excess_coefficient*
+* *disjoint_coefficient*
+* *weight_coefficient*
+
+[species] section
+-----------------
+* *species_size*
+* *survival_threshold*
+* *old_threshold*
+* *youth_threshold*
+* *old_penalty*
+* *youth_boost*
+* *max_stagnation*
+
+

docs/index.rst

@@ -22,6 +22,7 @@ Contents:
    :maxdepth: 2
 
    neat_overview
+   config_file
    xor_example