Mercurial > pylearn
diff pylearn/algorithms/kernel_regression.py @ 1504:bf5c0f797161
Fix test.
author | Frederic Bastien <nouiz@nouiz.org> |
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date | Mon, 12 Sep 2011 10:48:33 -0400 |
parents | 9b371879c6ab |
children | 723e2d761985 |
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--- a/pylearn/algorithms/kernel_regression.py Mon Sep 12 10:24:24 2011 -0400 +++ b/pylearn/algorithms/kernel_regression.py Mon Sep 12 10:48:33 2011 -0400 @@ -2,7 +2,7 @@ Implementation of kernel regression: """ -from pylearn.old_dataset.learner import OfflineLearningAlgorithm +#from pylearn.old_dataset.learner import OfflineLearningAlgorithm from theano import tensor as T from theano.tensor.nnet import prepend_1_to_each_row from theano.scalar import as_scalar @@ -15,7 +15,7 @@ # map a N-vector to a Nx1 matrix col_vector = theano.tensor.DimShuffle((False,),[0,'x']) -class KernelRegression(OfflineLearningAlgorithm): +class KernelRegression():#OfflineLearningAlgorithm): """ Implementation of kernel regression: * the data are n (x_t,y_t) pairs and we want to estimate E[y|x]