requirements.txt

# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
_libgcc_mutex=0.1=conda_forge
_openmp_mutex=4.5=2_gnu
_py-xgboost-mutex=2.0=gpu_0
anyio=4.2.0=py312h06a4308_0
argon2-cffi=21.3.0=pyhd3eb1b0_0
argon2-cffi-bindings=21.2.0=py312h5eee18b_0
asttokens=2.0.5=pyhd3eb1b0_0
async-lru=2.0.4=py312h06a4308_0
attrs=23.1.0=py312h06a4308_0
babel=2.11.0=py312h06a4308_0
beautifulsoup4=4.12.3=py312h06a4308_0
blas=1.0=mkl
bleach=4.1.0=pyhd3eb1b0_0
boruta=0.3=pypi_0
bottleneck=1.3.7=py312ha883a20_0
brotli=1.0.9=h5eee18b_8
brotli-bin=1.0.9=h5eee18b_8
brotli-python=1.0.9=py312h6a678d5_8
bzip2=1.0.8=h5eee18b_6
ca-certificates=2024.7.4=hbcca054_0
certifi=2024.7.4=pyhd8ed1ab_0
cffi=1.16.0=py312h5eee18b_1
charset-normalizer=3.3.2=pyhd3eb1b0_0
cloudpickle=3.0.0=pyhd8ed1ab_0
colorama=0.4.6=pyhd8ed1ab_0
comm=0.2.1=py312h06a4308_0
contourpy=1.2.0=py312hdb19cb5_0
cuda-cudart=11.8.89=0
cuda-cupti=11.8.87=0
cuda-libraries=11.8.0=0
cuda-nvrtc=11.8.89=0
cuda-nvtx=11.8.86=0
cuda-runtime=11.8.0=0
cuda-version=11.8=h70ddcb2_3
cycler=0.11.0=pyhd3eb1b0_0
cyrus-sasl=2.1.28=h52b45da_1
dbus=1.13.18=hb2f20db_0
debugpy=1.6.7=py312h6a678d5_0
decorator=5.1.1=pyhd3eb1b0_0
defusedxml=0.7.1=pyhd3eb1b0_0
dython=0.7.6=pypi_0
executing=0.8.3=pyhd3eb1b0_0
expat=2.6.2=h6a678d5_0
ffmpeg=4.3=hf484d3e_0
filelock=3.13.1=py312h06a4308_0
fontconfig=2.14.2=h14ed4e7_0
fonttools=4.51.0=py312h5eee18b_0
freetype=2.12.1=h4a9f257_0
glib=2.78.4=h6a678d5_0
glib-tools=2.78.4=h6a678d5_0
gmp=6.2.1=h295c915_3
gnutls=3.6.15=he1e5248_0
gputil=1.4.0=pypi_0
gst-plugins-base=1.14.1=h6a678d5_1
gstreamer=1.14.1=h5eee18b_1
icu=73.1=h6a678d5_0
idna=3.7=py312h06a4308_0
imbalanced-learn=0.12.3=pypi_0
intel-openmp=2023.1.0=hdb19cb5_46306
ipykernel=6.28.0=py312h06a4308_0
ipython=8.25.0=py312h06a4308_0
ipywidgets=8.1.2=py312h06a4308_0
jedi=0.19.1=py312h06a4308_0
jinja2=3.1.4=py312h06a4308_0
joblib=1.4.2=pyhd8ed1ab_0
jpeg=9e=h5eee18b_2
json5=0.9.6=pyhd3eb1b0_0
jsonschema=4.19.2=py312h06a4308_0
jsonschema-specifications=2023.7.1=py312h06a4308_0
jupyter=1.0.0=py312h06a4308_9
jupyter-lsp=2.2.0=py312h06a4308_0
jupyter_client=8.6.0=py312h06a4308_0
jupyter_console=6.6.3=py312h06a4308_1
jupyter_core=5.7.2=py312h06a4308_0
jupyter_events=0.10.0=py312h06a4308_0
jupyter_server=2.14.1=py312h06a4308_0
jupyter_server_terminals=0.4.4=py312h06a4308_1
jupyterlab=4.0.11=py312h06a4308_0
jupyterlab_pygments=0.1.2=py_0
jupyterlab_server=2.25.1=py312h06a4308_0
jupyterlab_widgets=3.0.10=py312h06a4308_0
kaleido=0.2.1=pypi_0
kiwisolver=1.4.4=py312h6a678d5_0
kmodes=0.12.2=pypi_0
krb5=1.20.1=h143b758_1
lame=3.100=h7b6447c_0
lcms2=2.12=h3be6417_0
ld_impl_linux-64=2.38=h1181459_1
lerc=3.0=h295c915_0
libblas=3.9.0=1_h86c2bf4_netlib
libbrotlicommon=1.0.9=h5eee18b_8
libbrotlidec=1.0.9=h5eee18b_8
libbrotlienc=1.0.9=h5eee18b_8
libcblas=3.9.0=6_ha36c22a_netlib
libclang=14.0.6=default_hc6dbbc7_1
libclang13=14.0.6=default_he11475f_1
libcublas=11.11.3.6=0
libcufft=10.9.0.58=0
libcufile=1.9.1.3=0
libcups=2.4.2=h2d74bed_1
libcurand=10.3.5.147=0
libcusolver=11.4.1.48=0
libcusparse=11.7.5.86=0
libdeflate=1.17=h5eee18b_1
libedit=3.1.20230828=h5eee18b_0
libexpat=2.6.2=h59595ed_0
libffi=3.4.4=h6a678d5_1
libgcc-ng=14.1.0=h77fa898_0
libgfortran-ng=14.1.0=h69a702a_0
libgfortran5=14.1.0=hc5f4f2c_0
libglib=2.78.4=hdc74915_0
libgomp=14.1.0=h77fa898_0
libiconv=1.16=h5eee18b_3
libidn2=2.3.4=h5eee18b_0
libjpeg-turbo=2.0.0=h9bf148f_0
liblapack=3.9.0=6_ha36c22a_netlib
libllvm14=14.0.6=hdb19cb5_3
libnpp=11.8.0.86=0
libnsl=2.0.1=hd590300_0
libnvjpeg=11.9.0.86=0
libpng=1.6.39=h5eee18b_0
libpq=12.17=hdbd6064_0
libsodium=1.0.18=h7b6447c_0
libsqlite=3.46.0=hde9e2c9_0
libstdcxx-ng=14.1.0=hc0a3c3a_0
libtasn1=4.19.0=h5eee18b_0
libtiff=4.5.1=h6a678d5_0
libunistring=0.9.10=h27cfd23_0
libuuid=2.38.1=h0b41bf4_0
libwebp-base=1.3.2=h5eee18b_0
libxcb=1.15=h7f8727e_0
libxcrypt=4.4.36=hd590300_1
libxgboost=2.1.1=cuda118_h09a87be_1
libxkbcommon=1.0.1=h5eee18b_1
libxml2=2.10.4=hfdd30dd_2
libzlib=1.2.13=h4ab18f5_6
lightgbm=4.5.0=pypi_0
llvm-openmp=14.0.6=h9e868ea_0
llvmlite=0.43.0=py312h6a678d5_0
lofo-importance=0.3.4=pypi_0
lz4-c=1.9.4=h6a678d5_1
markupsafe=2.1.3=py312h5eee18b_0
matplotlib=3.8.4=py312h06a4308_0
matplotlib-base=3.8.4=py312h526ad5a_0
matplotlib-inline=0.1.6=py312h06a4308_0
mistune=2.0.4=py312h06a4308_0
mkl=2023.1.0=h213fc3f_46344
mkl-service=2.4.0=py312h5eee18b_1
mkl_fft=1.3.8=py312h5eee18b_0
mkl_random=1.2.4=py312hdb19cb5_0
mpmath=1.3.0=py312h06a4308_0
mysql=5.7.24=h721c034_2
nbclient=0.8.0=py312h06a4308_0
nbconvert=7.10.0=py312h06a4308_0
nbformat=5.9.2=py312h06a4308_0
nccl=2.22.3.1=hee583db_1
ncurses=6.4=h6a678d5_0
nest-asyncio=1.6.0=py312h06a4308_0
nettle=3.7.3=hbbd107a_1
networkx=3.3=py312h06a4308_0
notebook=7.0.8=py312h06a4308_2
notebook-shim=0.2.3=py312h06a4308_0
numba=0.60.0=py312h83e6fd3_0
numexpr=2.8.7=py312hf827012_0
numpy=1.26.4=py312hc5e2394_0
numpy-base=1.26.4=py312h0da6c21_0
openh264=2.1.1=h4ff587b_0
openjpeg=2.4.0=h9ca470c_2
openssl=3.3.1=h4bc722e_2
overrides=7.4.0=py312h06a4308_0
packaging=24.1=py312h06a4308_0
pandas=2.2.2=py312h526ad5a_0
pandocfilters=1.5.0=pyhd3eb1b0_0
parso=0.8.3=pyhd3eb1b0_0
pcre2=10.42=hebb0a14_1
pexpect=4.8.0=pyhd3eb1b0_3
pillow=10.4.0=py312h5eee18b_0
pip=24.0=py312h06a4308_0
platformdirs=3.10.0=py312h06a4308_0
plotly=5.23.0=pypi_0
ply=3.11=py312h06a4308_1
prometheus_client=0.14.1=py312h06a4308_0
prompt-toolkit=3.0.43=py312h06a4308_0
prompt_toolkit=3.0.43=hd3eb1b0_0
psutil=6.0.0=pypi_0
ptyprocess=0.7.0=pyhd3eb1b0_2
pure_eval=0.2.2=pyhd3eb1b0_0
py-xgboost=2.1.1=cuda118_pyhf54b869_1
py-xgboost-gpu=2.1.1=pyh98e67c5_1
pycparser=2.21=pyhd3eb1b0_0
pygments=2.15.1=py312h06a4308_1
pyparsing=3.0.9=py312h06a4308_0
pyqt=5.15.10=py312h6a678d5_0
pyqt5-sip=12.13.0=py312h5eee18b_0
pysocks=1.7.1=py312h06a4308_0
python=3.12.2=hab00c5b_0_cpython
python-dateutil=2.9.0post0=py312h06a4308_2
python-fastjsonschema=2.16.2=py312h06a4308_0
python-json-logger=2.0.7=py312h06a4308_0
python-tzdata=2023.3=pyhd3eb1b0_0
python_abi=3.12=4_cp312
pytorch=2.4.0=py3.12_cuda11.8_cudnn9.1.0_0
pytorch-cuda=11.8=h7e8668a_5
pytorch-mutex=1.0=cuda
pytz=2024.1=py312h06a4308_0
pyyaml=6.0.1=py312h5eee18b_0
pyzmq=25.1.2=py312h6a678d5_0
qt-main=5.15.2=h53bd1ea_10
qtconsole=5.5.1=py312h06a4308_0
qtpy=2.4.1=py312h06a4308_0
readline=8.2=h5eee18b_0
referencing=0.30.2=py312h06a4308_0
requests=2.32.3=py312h06a4308_0
rfc3339-validator=0.1.4=py312h06a4308_0
rfc3986-validator=0.1.1=py312h06a4308_0
rpds-py=0.10.6=py312hb02cf49_0
scikit-learn=1.5.1=py312h775a589_0
scipy=1.14.0=py312hc2bc53b_1
seaborn=0.13.2=pypi_0
send2trash=1.8.2=py312h06a4308_0
setuptools=69.5.1=py312h06a4308_0
shap=0.45.1=cpu_py312h28877aa_0
sip=6.7.12=py312h6a678d5_0
six=1.16.0=pyhd3eb1b0_1
slicer=0.0.8=pyhd8ed1ab_0
sniffio=1.3.0=py312h06a4308_0
soupsieve=2.5=py312h06a4308_0
sqlite=3.45.3=h5eee18b_0
stack_data=0.2.0=pyhd3eb1b0_0
sympy=1.12=py312h06a4308_0
tbb=2021.8.0=hdb19cb5_0
tenacity=9.0.0=pypi_0
terminado=0.17.1=py312h06a4308_0
threadpoolctl=3.5.0=pyhc1e730c_0
tinycss2=1.2.1=py312h06a4308_0
tk=8.6.14=h39e8969_0
torchaudio=2.4.0=py312_cu118
torchtriton=3.0.0=py312
torchvision=0.19.0=py312_cu118
tornado=6.4.1=py312h5eee18b_0
tqdm=4.66.5=pyhd8ed1ab_0
traitlets=5.14.3=py312h06a4308_0
typing-extensions=4.11.0=py312h06a4308_0
typing_extensions=4.11.0=py312h06a4308_0
tzdata=2024a=h04d1e81_0
unicodedata2=15.1.0=py312h5eee18b_0
urllib3=2.2.2=py312h06a4308_0
wcwidth=0.2.5=pyhd3eb1b0_0
webencodings=0.5.1=py312h06a4308_2
websocket-client=1.8.0=py312h06a4308_0
wheel=0.43.0=py312h06a4308_0
widgetsnbextension=4.0.10=py312h06a4308_0
xz=5.4.6=h5eee18b_1
yaml=0.2.5=h7b6447c_0
zeromq=4.3.5=h6a678d5_0
zlib=1.2.13=h4ab18f5_6
zstd=1.5.5=hc292b87_2