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qt.qpa.xcb: could not connect to display localhost:24.0
qt.qpa.plugin: Could not load the Qt platform plugin "xcb" in "" even though it was found.
This application failed to start because no Qt platform plugin could be initialized. Reinstalling the application may fix this problem.
Available platform plugins are: eglfs, linuxfb, minimal, minimalegl, offscreen, vnc, wayland-egl, wayland, wayland-xcomposite-egl, wayland-xcomposite-glx, webgl, xcb.
stdout :
Launching in training mode...
Reading vcf file...
Getting genetic map info...
Getting sample map info...
Building founders...
Splitting sample map...
Running Simulation...
Training...
Reading data...
Building model...
Training base models...
Training smoother...
[14:50:58] WARNING: xgboost/src/learner.cc:480:
Parameters: { use_label_encoder } might not be used.
This may not be accurate due to some parameters are only used in language bindings but
passed down to XGBoost core. Or some parameters are not used but slip through this
verification. Please open an issue if you find above cases.
Evaluating model...
Re-training base models...
I also have some warnings due to xgboost, but it seems to run alright even with theses:
~/virtualenv_python_3.9_gnomix/lib/python3.9/site-packages/xgboost/compat.py:93: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.
from pandas import MultiIndex, Int64Index
Thanks for your help!
Jean-Christophe
The text was updated successfully, but these errors were encountered:
Hello dear support,
I tried to run my own training set but it's crashing at the re-training step.
Here's the command line I ran on a cluster machine :
Here are the logs :
std err :
stdout :
I also have some warnings due to xgboost, but it seems to run alright even with theses:
Thanks for your help!
Jean-Christophe
The text was updated successfully, but these errors were encountered: