Mercurial > repos > rnateam > rnacommender
diff data.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 |
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date | Thu, 28 Jul 2016 05:55:25 -0400 |
parents | 8918de535391 |
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--- a/data.py Tue Jul 19 10:22:02 2016 -0400 +++ b/data.py Thu Jul 28 05:55:25 2016 -0400 @@ -4,8 +4,6 @@ import pandas as pd -from theano import config - __author__ = "Gianluca Corrado" __copyright__ = "Copyright 2016, Gianluca Corrado" __license__ = "MIT" @@ -30,10 +28,10 @@ fr : str The name of the HDF5 file containing features for the RNAs. """ - self.Fp = fp.astype(config.floatX) + self.Fp = fp.astype('float32') store = pd.io.pytables.HDFStore(fr) - self.Fr = store.features.astype(config.floatX) + self.Fr = store.features.astype('float32') store.close() def load(self): @@ -74,9 +72,9 @@ protein_input_dim = self.Fp.shape[0] rna_input_dim = self.Fr.shape[0] num_examples = self.Fp.shape[1] * self.Fr.shape[1] - p = np.zeros((num_examples, protein_input_dim)).astype(config.floatX) + p = np.zeros((num_examples, protein_input_dim)).astype('float32') p_names = [] - r = np.zeros((num_examples, rna_input_dim)).astype(config.floatX) + r = np.zeros((num_examples, rna_input_dim)).astype('float32') r_names = [] index = 0 for protein in self.Fp.columns: