made progress in binaryclassifier rewrite, restructured file tree

1 files changed, 34 insertions, 0 deletions

diff --git a/ricky/binaryclassifier.py b/ricky/binaryclassifier.py
new file mode 100644
index 0000000..f6d8ae6
--- /dev/null
+++ b/ricky/binaryclassifier.py
@@ -0,0 +1,34 @@
+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