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Alex Rivera
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I am predicting a value, I have 2 input layer and an output layer. Here is my code in which I have trained a PyBrain network and then tested it, I am missing how should I give a set of input to the network and how do I get the result. Please help me to proceed forward. ds = SupervisedDataSet(2,1) tf = open('data.csv','r') for line in tf.readlines(): data = [float(x) for x in line.strip().split(',') if x != ''] indata = tuple(data[:2]) outdata = tuple(data[2:]) ds.addSample(indata,outdata) n = buildNetwork(ds.indim,8,8,ds.outdim,recurrent=True) t = BackpropTrainer(n,learningrate=0.01,momentum=0.5,verbose=True) t.trainOnDataset(ds,1000) t.testOnData(verbose=True) what I should do next to give an input and predict on the input, How do I get the result for that set of input. Thanks!!
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