4

I want to load data from CSV file like this:

var format = new CSVFormat('.', ' '); 
IVersatileDataSource source = new CSVDataSource(filename, false, format);
var data = new VersatileMLDataSet(source); ...

Then I have two options:

Use EncogModel

var model = new EncogModel(data);
model.SelectMethod(data, MLMethodFactory.TypeFeedforward); ...

Make own network

var network = new BasicNetwork();
network.AddLayer(new BasicLayer(null, true, 11));
network.AddLayer(new BasicLayer(new ActivationSigmoid(), true, 8));
network.AddLayer(new BasicLayer(new ActivationTANH(), true, 5)); 
...
IMLDataSet trainingSet = new BasicMLDataSet(input, output);

I don't know how to set number of layers, neurons and activation functions with first option (Encog Model). All I get is some default feedforward network with one hidden layer only.

I don't know how can get easily input and output arrays separately for my own network (second option) from VersatileMLDataSet. I can get whole array (input + output), but there must be a way how to get only input array or output array.

EdWood
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1 Answers1

3

I found answer in documentation (Encog Method & Training Factories, page 75), with EncogModel is possible customize network like this:

var methodFactory = new MLMethodFactory();
var method = methodFactory . Create(
MLMethodFactory .TYPEFEEDFORWARD,
”?:B−>SIGMOID−>4:B−>SIGMOID−>?”,
2,
1);

The above code creates a neural network with two input neurons and one output neuron. There are four hidden neurons. Bias neurons are placed on the input and hidden layers. As is typical for neural networks, there are no bias neurons on the output layer. The sigmoid activation function is used between both the input and hidden neuron, as well between the hidden and output layer. You may notice the two question marks in the neural network architecture string. These will be filled in by the input and output layer sizes specified in the create method and are optional. You can hard-code the input and output sizes. In this case the numbers specified in the create call will be ignored.

EdWood
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