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-rw-r--r--model/dest_mlp_tgtcls.py34
1 files changed, 34 insertions, 0 deletions
diff --git a/model/dest_mlp_tgtcls.py b/model/dest_mlp_tgtcls.py
new file mode 100644
index 0000000..46fca2b
--- /dev/null
+++ b/model/dest_mlp_tgtcls.py
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+import numpy
+import theano
+from theano import tensor
+from blocks.bricks import application, Softmax
+
+import error
+from model.mlp import FFMLP, Stream
+
+
+class Model(FFMLP):
+ def __init__(self, config, **kwargs):
+ super(Model, self).__init__(config, output_layer=Softmax, **kwargs)
+ self.classes = theano.shared(numpy.array(config.tgtcls, dtype=theano.config.floatX), name='classes')
+
+ @application(outputs=['destination'])
+ def predict(self, **kwargs):
+ cls_probas = super(Model, self).predict(**kwargs)
+ return tensor.dot(cls_probas, self.classes)
+
+ @predict.property('inputs')
+ def predict_inputs(self):
+ return self.inputs
+
+ @application(outputs=['cost'])
+ def cost(self, **kwargs):
+ y_hat = self.predict(**kwargs)
+ y = tensor.concatenate((kwargs['destination_latitude'][:, None],
+ kwargs['destination_longitude'][:, None]), axis=1)
+
+ return error.erdist(y_hat, y).mean()
+
+ @cost.property('inputs')
+ def cost_inputs(self):
+ return self.inputs + ['destination_latitude', 'destination_longitude']