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-rw-r--r--ricky/binaryclassifier.py34
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diff --git a/ricky/binaryclassifier.py b/ricky/binaryclassifier.py
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+from pybrain.tools.shortcuts import buildNetwork
+from pybrain.structure import SoftmaxLayer
+from pybrain.datasets import SupervisedDataSet
+from pybrain.supervised.trainers import BackpropTrainer
+
+
+class BinaryClassifier(object):
+ def __init__(self):
+ self._default_hidden_layers = 3
+ pass
+
+ def _train(self, dataset):
+ """
+ pybrain.tools.shortcuts.buildNetwork(*layers, **options)
+ Build arbitrarily deep networks.
+
+ layers should be a list or tuple of integers, that
+ indicate how many neurons the layers should have.
+ bias and outputbias are flags to indicate whether
+ the network should have the corresponding biases;
+ both default to True.
+ """
+ net = buildNetwork(
+ dataset.params_length,
+ self._default_hidden_layers,
+ 1 # a binary classifier only requires one output layer
+ )
+ ds = SupervisedDataSet(dataset)
+ trainer = BackpropTrainer(net, ds)
+ trainer.trainUntilConvergence()
+ net.activate(params.as_serialized)
+
+ def classify(self, dataset):
+ return False