Mercurial > repos > rnateam > rnacommender
diff model.py @ 4:a609d6dc8047 draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 7ad344d108076116e702e1c1e91cea73d8fcadc4
| author | rnateam |
|---|---|
| date | Thu, 28 Jul 2016 05:55:25 -0400 |
| parents | 8918de535391 |
| children |
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--- a/model.py Tue Jul 19 10:22:02 2016 -0400 +++ b/model.py Thu Jul 28 05:55:25 2016 -0400 @@ -5,7 +5,7 @@ import numpy as np -from theano import config, function, shared +from theano import function, shared import theano.tensor as T __author__ = "Gianluca Corrado" @@ -61,25 +61,25 @@ self.lambda_reg = lambda_reg np.random.seed(seed) # explictit features for proteins - fp = T.matrix("Fp", dtype=config.floatX) + fp = T.matrix("Fp", dtype='float32') # explictit features for RNAs - fr = T.matrix("Fr", dtype=config.floatX) + fr = T.matrix("Fr", dtype='float32') # Correct label y = T.vector("y") # projection matrix for proteins self.Ap = shared(((.5 - np.random.rand(kp, sp)) * - irange).astype(config.floatX), name="Ap") + irange).astype('float32'), name="Ap") self.bp = shared(((.5 - np.random.rand(kp)) * - irange).astype(config.floatX), name="bp") + irange).astype('float32'), name="bp") # projection matrix for RNAs self.Ar = shared(((.5 - np.random.rand(kr, sr)) * - irange).astype(config.floatX), name="Ar") + irange).astype('float32'), name="Ar") self.br = shared(((.5 - np.random.rand(kr)) * - irange).astype(config.floatX), name="br") + irange).astype('float32'), name="br") # generalization matrix self.B = shared(((.5 - np.random.rand(kp, kr)) * - irange).astype(config.floatX), name="B") + irange).astype('float32'), name="B") # Latent space for proteins p = T.nnet.sigmoid(T.dot(fp, self.Ap.T) + self.bp)