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-rw-r--r--model/time_mlp_tgtcls.py33
1 files changed, 33 insertions, 0 deletions
diff --git a/model/time_mlp_tgtcls.py b/model/time_mlp_tgtcls.py
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+++ b/model/time_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, output_layer=Softmax).__init__(config, **kwargs)
+ self.classes = theano.shared(numpy.array(config.tgtcls, dtype=theano.config.floatX), name='classes')
+ self.inputs.append('input_time')
+
+ @application(outputs=['duration'])
+ def predict(self, **kwargs):
+ cls_probas = super(Model, self).predict(**kwargs)
+ return kwargs['input_time'] + 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 = kwargs['travel_time']
+ return error.rmsle(y_hat.flatten(), y.flatten())
+
+ @cost.property('inputs')
+ def cost_inputs(self):
+ return self.inputs + ['travel_time']