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Description
I try a lot of combination of memory and cpu, 1, 4, 6, 8, etc...
This error is random, if run again, complete with success.
Enviroment:
Docker with image continuumio/miniconda3:4.8.2-alpine
Stack strace:
[<FrameSummary file main.py, line 56 in <module>>, <FrameSummary file /app/forecast.py, line 30 in make_prediction>, <FrameSummary file /app/tbatsmodel.py, line 97 in tbats_forecast>, <FrameSummary file /opt/conda/envs/env/lib/python3.7/site-packages/tbats/abstract/Estimator.py, line 98 in fit>, <FrameSummary file /opt/conda/envs/env/lib/python3.7/site-packages/tbats/tbats/TBATS.py, line 76 in _do_fit>, <FrameSummary file /opt/conda/envs/env/lib/python3.7/site-packages/tbats/abstract/Estimator.py, line 144 in _choose_model_from_possible_component_settings>, <FrameSummary file /opt/conda/envs/env/lib/python3.7/multiprocessing/pool.py, line 268 in map>, <FrameSummary file /opt/conda/envs/env/lib/python3.7/multiprocessing/pool.py, line 651 in get>, <FrameSummary file /opt/conda/envs/env/lib/python3.7/multiprocessing/pool.py, line 648 in wait>, <FrameSummary file /opt/conda/envs/env/lib/python3.7/threading.py, line 552 in wait>, <FrameSummary file /opt/conda/envs/env/lib/python3.7/threading.py, line 296 in wait>]
Conda env:
name: env
channels:
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- asn1crypto=0.24.0=py37_1003
- binutils_impl_linux-64=2.31.1=h6176602_1
- binutils_linux-64=2.31.1=h6176602_8
- bitarray=1.0.1=py37h516909a_0
- bzip2=1.0.8=h516909a_0
- ca-certificates=2019.6.16=hecc5488_0
- certifi=2019.6.16=py37_1
- cffi=1.12.3=py37h8022711_0
- chardet=3.0.4=py37_1003
- click=7.0=py_0
- cryptography=2.7=py37h72c5cf5_0
- cycler=0.10.0=py_1
- cython=0.29.13=py37he1b5a44_0
- dbus=1.13.6=he372182_0
- expat=2.2.5=he1b5a44_1003
- fontconfig=2.13.1=h86ecdb6_1001
- freetype=2.10.0=he983fc9_1
- gcc_impl_linux-64=7.3.0=habb00fd_1
- gcc_linux-64=7.3.0=h553295d_8
- gettext=0.19.8.1=hc5be6a0_1002
- glib=2.58.3=h6f030ca_1002
- gst-plugins-base=1.14.5=h0935bb2_0
- gstreamer=1.14.5=h36ae1b5_0
- gxx_impl_linux-64=7.3.0=hdf63c60_1
- gxx_linux-64=7.3.0=h553295d_8
- icu=64.2=he1b5a44_0
- idna=2.8=py37_1000
- tqdm=4.41.0
- joblib=0.13.2=py_0
- jpeg=9c=h14c3975_1001
- python-confluent-kafka=1.3.0
- kiwisolver=1.1.0=py37hc9558a2_0
- libblas=3.8.0=12_openblas
- libcblas=3.8.0=12_openblas
- libffi=3.2.1=he1b5a44_1006
- libgcc-ng=9.1.0=hdf63c60_0
- libgfortran-ng=7.3.0=hdf63c60_0
- libiconv=1.15=h516909a_1005
- liblapack=3.8.0=12_openblas
- libopenblas=0.3.7=h6e990d7_1
- libpng=1.6.37=hed695b0_0
- libstdcxx-ng=9.1.0=hdf63c60_0
- libuuid=2.32.1=h14c3975_1000
- libxcb=1.13=h14c3975_1002
- libxml2=2.9.9=hee79883_2
- matplotlib=3.1.1=py37_1
- matplotlib-base=3.1.1=py37he7580a8_1
- ncurses=6.1=hf484d3e_1002
- numpy=1.16.4=py37h95a1406_0
- openssl=1.1.1c=h516909a_0
- pandas=0.24.2=py37hb3f55d8_0
- patsy=0.5.1=py_0
- pcre=8.41=hf484d3e_1003
- pip=19.2.2=py37_0
- ply=3.11=py_1
- pthread-stubs=0.4=h14c3975_1001
- pycparser=2.19=py37_1
- pyopenssl=19.0.0=py37_0
- pyparsing=2.2.0=py_1
- pyqt=5.9.2=py37hcca6a23_2
- pysocks=1.7.0=py37_0
- pystan=2.18.0.0=py37h962f231_0
- python=3.7.3=h33d41f4_1
- python-dateutil=2.8.0=py_0
- python-dotenv=0.10.1=py_0
- pytz=2019.2=py_0
- qt=5.9.7=h0c104cb_3
- readline=8.0=hf8c457e_0
- requests=2.22.0=py37_1
- scikit-learn=0.21.2=py37hcdab131_1
- scipy=1.3.1=py37h921218d_2
- setuptools=41.2.0=py37_0
- sip=4.19.8=py37hf484d3e_1000
- six=1.12.0=py37_1000
- sqlite=3.29.0=hcee41ef_0
- statsmodels=0.10.1=py37hc1659b7_0
- thriftpy2=0.4.11
- thrift=0.13.0
- impyla=0.16.2
- tk=8.6.9=hed695b0_1002
- tornado=6.0.3=py37h516909a_0
- urllib3=1.25.3=py37_0
- wheel=0.33.6=py37_0
- xorg-libxau=1.0.9=h14c3975_0
- xorg-libxdmcp=1.1.3=h516909a_0
- xz=5.2.4=h14c3975_1001
- zlib=1.2.11=h516909a_1005
- pip:
- tbats