Class | Ai4r::Classifiers::MultilayerPerceptron |
In: |
lib/ai4r/classifiers/multilayer_perceptron.rb
|
Parent: | Classifier |
The idea behind the MultilayerPerceptron classifier is to train a Multilayer Perceptron neural network with the provided examples, and predict the class for new data items.
Use class method get_parameters_info to obtain details on the algorithm parameters. Use set_parameters to set values for this parameters. See Parameterizable module documentation.
:active_node_value => Default: 1 :inactive_node_value => Default: 1
class_value | [R] | |
data_set | [R] | |
domains | [R] | |
network | [R] |
Build a new MultilayerPerceptron classifier. You must provide a DataSet instance as parameter. The last attribute of each item is considered as the item class.
You can evaluate new data, predicting its class. e.g.
classifier.eval(['New York', '<30', 'F']) # => 'Y'