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I am trying to apply TICA to reduce dimensions to some data:
reader = pyemma.coordinates.source(files, top=pdb) # create reader reader.featurizer.add_backbone_torsions(periodic=False) # add feature tica = pyemma.coordinates.tica(reader) # perform tica on feature space
however I get an error and the following legend.
mdtraj\formats\xtc\xtc.pyx in mdtraj.formats.xtc.XTCTrajectoryFile._read()
RuntimeError: XTC read error: Compressed 3d coordinate
What would be the reason? please any suggestion
The text was updated successfully, but these errors were encountered:
mdtraj can't load your data - are you use it's not corrupt? perhaps try a different mdtraj version?
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I am trying to apply TICA to reduce dimensions to some data:
reader = pyemma.coordinates.source(files, top=pdb) # create reader
reader.featurizer.add_backbone_torsions(periodic=False) # add feature
tica = pyemma.coordinates.tica(reader) # perform tica on feature space
however I get an error and the following legend.
mdtraj\formats\xtc\xtc.pyx in mdtraj.formats.xtc.XTCTrajectoryFile._read()
RuntimeError: XTC read error: Compressed 3d coordinate
What would be the reason? please any suggestion
The text was updated successfully, but these errors were encountered: