I'm going to resurrect this thread in hopes that in the 6 months since, someone has found a solution? After recently upgrading my mgr's to 20.04 and 15.2.8, the diskprediction_local module is failing for me in the exact same manner.

$ dpkg -l | grep sklearn ii python3-sklearn 0.22.2.post1+dfsg-5 all Python modules for machine learning and data mining - Python 3 ii python3-sklearn-lib 0.22.2.post1+dfsg-5 amd64 low-level implementations and bindings for scikit-learn - Python 3

$ pip3 freeze | grep learn scikit-learn==0.22.2.post1

I see v0.24.0 in pypi <https://pypi.org/project/scikit-learn/>, however I prefer to use apt packages where possible for easier management, and everything I've found points to 0.19.2 as the version required, which 0.22.2 would assume fulfill. Thanks, Reed

On Jun 4, 2020, at 2:24 PM, Eric Dold <dold.eric@gmail.com> wrote:

Hello

the mgr module diskprediction_local fails under ubuntu 20.04 focal with python3-sklearn version 0.22.2 Ceph version is 15.2.3

when the module is enabled i get the following error:

File "/usr/share/ceph/mgr/diskprediction_local/module.py", line 112, in serve self.predict_all_devices() File "/usr/share/ceph/mgr/diskprediction_local/module.py", line 279, in predict_all_devices result = self._predict_life_expentancy(devInfo['devid']) File "/usr/share/ceph/mgr/diskprediction_local/module.py", line 222, in _predict_life_expentancy predicted_result = obj_predictor.predict(predict_datas) File "/usr/share/ceph/mgr/diskprediction_local/predictor.py", line 457, in predict pred = clf.predict(ordered_data) File "/usr/lib/python3/dist-packages/sklearn/svm/_base.py", line 585, in predict if self.break_ties and self.decision_function_shape == 'ovo': AttributeError: 'SVC' object has no attribute 'break_ties'

Best Regards Eric _______________________________________________ ceph-users mailing list -- ceph-users@ceph.io To unsubscribe send an email to ceph-users-leave@ceph.io