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I installed dragonn with "conda install dragonn -c kundajelab", but I got the following error message upon trying to train the example model:
Traceback (most recent call last):
File “/Library/Frameworks/Python.framework/Versions/2.7/bin/dragonn”, line 6, in
from pkg_resources import load_entry_point
File “/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pkg_resources/init.py”, line 2953, in
@_call_aside
File “/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pkg_resources/init.py”, line 2939, in _call_aside
f(*args, **kwargs)
File “/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pkg_resources/init.py”, line 2966, in _initialize_master_working_set
working_set = WorkingSet._build_master()
File “/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pkg_resources/init.py”, line 637, in _build_master
return cls._build_from_requirements(requires)
File “/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pkg_resources/init.py”, line 650, in _build_from_requirements
dists = ws.resolve(reqs, Environment())
File “/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pkg_resources/init.py”, line 829, in resolve
raise DistributionNotFound(req, requirers)
pkg_resources.DistributionNotFound: The ‘keras==0.3.3’ distribution was not found and is required by dragonn
Looks like keras v0.3.2 ships with the install but keras v0.3.3 is necessary for training.
Thanks,
Rajiv
The text was updated successfully, but these errors were encountered:
The anaconda (python 2) installation now works cleanly on a linux-64 system (dragonn-0.1.2, keras-0.3.3). However, on osx-64, the installation now seems to default to a deprecated version of dragonn (v0.1.0).
Installing DragoNN on a machine with Keras already installed fails with this error: "cannot import name 'TimeDistributedDense'" TimeDistributedDense was deprecated a long time ago, any plans to refresh Keras version?
Hi,
I installed dragonn with "conda install dragonn -c kundajelab", but I got the following error message upon trying to train the example model:
Traceback (most recent call last):
File “/Library/Frameworks/Python.framework/Versions/2.7/bin/dragonn”, line 6, in
from pkg_resources import load_entry_point
File “/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pkg_resources/init.py”, line 2953, in
@_call_aside
File “/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pkg_resources/init.py”, line 2939, in _call_aside
f(*args, **kwargs)
File “/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pkg_resources/init.py”, line 2966, in _initialize_master_working_set
working_set = WorkingSet._build_master()
File “/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pkg_resources/init.py”, line 637, in _build_master
return cls._build_from_requirements(requires)
File “/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pkg_resources/init.py”, line 650, in _build_from_requirements
dists = ws.resolve(reqs, Environment())
File “/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pkg_resources/init.py”, line 829, in resolve
raise DistributionNotFound(req, requirers)
pkg_resources.DistributionNotFound: The ‘keras==0.3.3’ distribution was not found and is required by dragonn
Looks like keras v0.3.2 ships with the install but keras v0.3.3 is necessary for training.
Thanks,
Rajiv
The text was updated successfully, but these errors were encountered: