Module: DSL
- Includes:
- NEAT, NEAT::BasicNeuronTypes
- Defined in:
- lib/rubyneat/dsl.rb
Overview
RubyNEAT DSL
DSL is a doman-specific language for RubyNEAT to allow you to configure the NEAT engine for various evolutionary projects.
Constant Summary
Constant Summary
Constants included from NEAT
Instance Method Summary (collapse)
-
- (Object) condition_boolean_vector(vec)
Helper function to Condition boolean vectors to be +1 if true, -1 if false.
-
- (Object) define(name = NEAT.random_name_generator, &block)
DSL – Define defines the parameters to the controller.
-
- (Object) evolve(&block)
DSL – Run evolution.
-
- (Object) fitness(&block)
fitness function calls the block with 2 vectors or two hashes, input and output vectors of the critter being evaluated for fitness, as well as a sequence number that can be used to index what the actual output should be.
-
- (Object) method_missing(m, *args, &block)
This is used to handle the details of our DSL.
-
- (Object) query(&block)
Query function is called with the sequence (time evalution) number, and returns an array or hash of parameters that will be given to the input nodes.
-
- (Object) report(&block)
Report on evaluations.
-
- (Object) run_engine(&block)
Run the engine.
-
- (Object) uncondition_boolean_vector(vec)
Helper function to Uncondition boolean vectors to be +1 if true, -1 if false.
Methods included from NEAT
controller, controller=, create_controller, dpp, gaussian, new_innovation, random_name_generator
Dynamic Method Handling
This class handles dynamic methods through the method_missing method
- (Object) method_missing(m, *args, &block)
This is used to handle the details of our DSL.
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# File 'lib/rubyneat/dsl.rb', line 82 def method_missing(m, *args, &block) # we want to catch parameters settings here. if NEAT::controller.parms.respond_to? (assignment = (m.to_s + '=').to_sym) raise NeatException.new("Missing value(s) to %s" % m) if args.empty? val = (args.size == 1) ? args[0] : args $log.debug { "Caught method %s with parameter of %s" % [assignment, val] } NEAT::controller.parms.send(assignment, val) else super end end |
Instance Method Details
- (Object) condition_boolean_vector(vec)
Helper function to Condition boolean vectors to be +1 if true, -1 if false
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# File 'lib/rubyneat/dsl.rb', line 57 def condition_boolean_vector(vec) vec.map{|b| b ? 1 : -1} end |
- (Object) define(name = NEAT.random_name_generator, &block)
DSL – Define defines the parameters to the controller.
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# File 'lib/rubyneat/dsl.rb', line 14 def define(name = NEAT.random_name_generator, &block) [ :inputs, :outputs, :hidden # we really don't care about mapping hidden neurons, but we'll ignore them later. ].each do |iometh| instance_eval %Q[ def #{iometh}(nodes = nil, &block) neui = unless nodes.nil? nodes else block.() end NEAT::controller.neural_#{iometh} = if neui.kind_of? Hash neui else Hash[neui.map{|n| [NEAT::random_name_generator, n]}] end end] end block.(NEAT::controller) end |
- (Object) evolve(&block)
DSL – Run evolution
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# File 'lib/rubyneat/dsl.rb', line 38 def evolve(&block) # Query function is called with the sequence (time evalution) number, # and returns an array or hash of parameters that will be given # to the input nodes. In the case of hash, the keys in the hash # shall correspond to the names given to the input neurons. def query(&block) NEAT::controller.query_func = block end # fitness function calls the block with 2 vectors or two hashes, input and output # vectors of the critter being evaluated for fitness, as well as a sequence # number that can be used to index what the actual output should be. # |vin, vout, seq| def fitness(&block) NEAT::controller.fitness_func = block end # Helper function to # Condition boolean vectors to be +1 if true, -1 if false def condition_boolean_vector(vec) vec.map{|b| b ? 1 : -1} end # Helper function to # Uncondition boolean vectors to be +1 if true, -1 if false def uncondition_boolean_vector(vec) vec.map{|o| o > 0.0 ? true : false} end block.(NEAT::controller) end |
- (Object) fitness(&block)
fitness function calls the block with 2 vectors or two hashes, input and output vectors of the critter being evaluated for fitness, as well as a sequence number that can be used to index what the actual output should be. |vin, vout, seq|
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# File 'lib/rubyneat/dsl.rb', line 51 def fitness(&block) NEAT::controller.fitness_func = block end |
- (Object) query(&block)
Query function is called with the sequence (time evalution) number, and returns an array or hash of parameters that will be given to the input nodes. In the case of hash, the keys in the hash shall correspond to the names given to the input neurons.
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# File 'lib/rubyneat/dsl.rb', line 43 def query(&block) NEAT::controller.query_func = block end |
- (Object) report(&block)
Report on evaluations
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# File 'lib/rubyneat/dsl.rb', line 72 def report(&block) end |
- (Object) run_engine(&block)
Run the engine. The block is called on each generation.
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# File 'lib/rubyneat/dsl.rb', line 76 def run_engine(&block) NEAT::controller.end_run_func = block NEAT::controller.run end |
- (Object) uncondition_boolean_vector(vec)
Helper function to Uncondition boolean vectors to be +1 if true, -1 if false
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# File 'lib/rubyneat/dsl.rb', line 63 def uncondition_boolean_vector(vec) vec.map{|o| o > 0.0 ? true : false} end |