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authorÉtienne Simon <esimon@esimon.eu>2015-07-02 12:59:15 -0400
committerÉtienne Simon <esimon@esimon.eu>2015-07-02 12:59:15 -0400
commit98139f573eb179c8f5a06ba6c8d8883376814ccf (patch)
treef27270d80cb91c19639227c921549f762eda2f72 /model/dest_mlp_tgtcls.py
parenta4b190516d00428b1d8a81686a3291e5fa5f9865 (diff)
downloadtaxi-98139f573eb179c8f5a06ba6c8d8883376814ccf.tar.gz
taxi-98139f573eb179c8f5a06ba6c8d8883376814ccf.zip
Remove _simple
Diffstat (limited to 'model/dest_mlp_tgtcls.py')
-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
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+++ 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']