From 98139f573eb179c8f5a06ba6c8d8883376814ccf Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=C3=89tienne=20Simon?= Date: Thu, 2 Jul 2015 12:59:15 -0400 Subject: Remove _simple --- model/dest_simple_mlp_tgtcls.py | 34 ---------------------------------- 1 file changed, 34 deletions(-) delete mode 100644 model/dest_simple_mlp_tgtcls.py (limited to 'model/dest_simple_mlp_tgtcls.py') diff --git a/model/dest_simple_mlp_tgtcls.py b/model/dest_simple_mlp_tgtcls.py deleted file mode 100644 index 46fca2b..0000000 --- a/model/dest_simple_mlp_tgtcls.py +++ /dev/null @@ -1,34 +0,0 @@ -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'] -- cgit v1.2.3