Add environment.yml file
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environment.yml
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124
environment.yml
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name: s444421
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channels:
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- conda-forge
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- defaults
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dependencies:
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- _libgcc_mutex=0.1=main
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- _openmp_mutex=5.1=1_gnu
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- alembic=1.7.7=pyhd8ed1ab_0
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- appdirs=1.4.4=pyh9f0ad1d_0
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- asn1crypto=1.5.1=pyhd8ed1ab_0
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- blas=1.0=mkl
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- bottleneck=1.3.4=py39hce1f21e_0
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- brotlipy=0.7.0=py39hb9d737c_1004
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- ca-certificates=2022.5.18.1=ha878542_0
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- certifi=2022.5.18.1=py39hf3d152e_0
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- cffi=1.15.0=py39hd667e15_1
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- charset-normalizer=2.0.12=pyhd8ed1ab_0
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- click=8.1.3=py39hf3d152e_0
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- cloudpickle=2.1.0=pyhd8ed1ab_0
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- configparser=5.2.0=pyhd8ed1ab_0
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- cryptography=37.0.2=py39hd97740a_0
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- cycler=0.11.0=pyhd8ed1ab_0
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- databricks-cli=0.12.1=pyhd8ed1ab_0
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- docker-py=5.0.3=py39hf3d152e_2
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- docker-pycreds=0.4.0=py_0
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- entrypoints=0.4=pyhd8ed1ab_0
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- flask=2.1.2=pyhd8ed1ab_1
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- freetype=2.10.4=h0708190_1
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- future=0.18.2=py39hf3d152e_5
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- gitdb=4.0.9=pyhd8ed1ab_0
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- gitpython=3.1.27=pyhd8ed1ab_0
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- greenlet=1.1.2=py39h5a03fae_2
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- gunicorn=20.1.0=py39hf3d152e_2
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- idna=3.3=pyhd8ed1ab_0
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- importlib-metadata=4.11.3=py39hf3d152e_1
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- importlib_resources=5.7.1=pyhd8ed1ab_1
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- intel-openmp=2021.4.0=h06a4308_3561
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- itsdangerous=2.1.2=pyhd8ed1ab_0
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- jinja2=3.1.2=pyhd8ed1ab_0
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- joblib=1.1.0=pyhd8ed1ab_0
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- jpeg=9e=h166bdaf_1
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- kiwisolver=1.4.2=py39hf939315_1
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- lcms2=2.12=hddcbb42_0
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- ld_impl_linux-64=2.38=h1181459_1
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- libblas=3.9.0=12_linux64_mkl
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- libcblas=3.9.0=12_linux64_mkl
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- libffi=3.3=he6710b0_2
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- libgcc-ng=11.2.0=h1234567_0
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- libgfortran-ng=12.1.0=h69a702a_16
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- libgfortran5=12.1.0=hdcd56e2_16
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- libgomp=11.2.0=h1234567_0
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- liblapack=3.9.0=12_linux64_mkl
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- libpng=1.6.37=h21135ba_2
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- libprotobuf=3.19.1=h4ff587b_0
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- libstdcxx-ng=11.2.0=h1234567_0
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- libtiff=4.2.0=h85742a9_0
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- libwebp-base=1.2.2=h7f98852_1
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- lz4-c=1.9.3=h9c3ff4c_1
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- mako=1.2.0=pyhd8ed1ab_1
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- markupsafe=2.1.1=py39hb9d737c_1
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- matplotlib-base=3.4.3=py39h2fa2bec_2
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- mkl=2021.4.0=h06a4308_640
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- mkl-service=2.4.0=py39h7f8727e_0
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- mkl_fft=1.3.1=py39hd3c417c_0
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- mkl_random=1.2.2=py39h51133e4_0
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- mlflow=1.26.0=py39ha39b057_0
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- ncurses=6.3=h7f8727e_2
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- ninja=1.11.0=h924138e_0
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- numexpr=2.8.1=py39h6abb31d_0
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- numpy=1.22.3=py39he7a7128_0
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- numpy-base=1.22.3=py39hf524024_0
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- olefile=0.46=pyh9f0ad1d_1
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- openssl=1.1.1o=h166bdaf_0
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- packaging=21.3=pyhd3eb1b0_0
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- pandas=1.4.2=py39h295c915_0
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- patsy=0.5.2=pyhd8ed1ab_0
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- pillow=7.2.0=py39h6f3857e_2
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- pip=21.2.4=py39h06a4308_0
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- prometheus_client=0.14.1=pyhd8ed1ab_0
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- prometheus_flask_exporter=0.20.1=pyhd8ed1ab_0
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- protobuf=3.19.1=py39h295c915_0
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- pycparser=2.21=pyhd8ed1ab_0
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- pyopenssl=22.0.0=pyhd8ed1ab_0
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- pyparsing=3.0.4=pyhd3eb1b0_0
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- pysocks=1.7.1=py39hf3d152e_5
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- python=3.9.12=h12debd9_0
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- python-dateutil=2.8.2=pyhd3eb1b0_0
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- python_abi=3.9=2_cp39
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- pytorch=1.10.0=cpu_py39hc70245e_1
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- pytz=2021.3=pyhd3eb1b0_0
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- pyyaml=6.0=py39hb9d737c_4
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- querystring_parser=1.2.4=py_0
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- readline=8.1.2=h7f8727e_1
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- requests=2.27.1=pyhd8ed1ab_0
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- scikit-learn=1.1.1=py39h4037b75_0
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- scipy=1.8.0=py39hee8e79c_1
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- seaborn=0.11.2=hd8ed1ab_0
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- seaborn-base=0.11.2=pyhd8ed1ab_0
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- setuptools=61.2.0=py39h06a4308_0
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- six=1.16.0=pyhd3eb1b0_1
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- sleef=3.5.1=h9b69904_2
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- smmap=3.0.5=pyh44b312d_0
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- sqlalchemy=1.4.36=py39hb9d737c_0
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- sqlite=3.38.3=hc218d9a_0
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- sqlparse=0.4.2=pyhd8ed1ab_0
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- statsmodels=0.13.2=py39hce5d2b2_0
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- tabulate=0.8.9=pyhd8ed1ab_0
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- tenacity=8.0.1=pyhd8ed1ab_0
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- threadpoolctl=3.1.0=pyh8a188c0_0
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- tk=8.6.11=h1ccaba5_1
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- tornado=6.1=py39hb9d737c_3
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- typing_extensions=4.2.0=pyha770c72_1
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- tzdata=2022a=hda174b7_0
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- urllib3=1.26.9=pyhd8ed1ab_0
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- websocket-client=1.3.2=pyhd8ed1ab_0
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- werkzeug=2.1.2=pyhd8ed1ab_1
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- wheel=0.37.1=pyhd3eb1b0_0
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- xz=5.2.5=h7f8727e_1
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- yaml=0.2.5=h7f98852_2
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- zipp=3.8.0=pyhd8ed1ab_0
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- zlib=1.2.12=h7f8727e_2
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- zstd=1.4.9=ha95c52a_0
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prefix: /home/agata/anaconda3/envs/s444421
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