/
requirements.txt
253 lines (253 loc) · 7.15 KB
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requirements.txt
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# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: osx-64
_py-xgboost-mutex=2.0=cpu_0
alembic=1.7.6=pyhd8ed1ab_0
anyio=3.5.0=py38h50d1736_0
appdirs=1.4.4=pyh9f0ad1d_0
appnope=0.1.2=py38h50d1736_2
argon2-cffi=21.3.0=pyhd8ed1ab_0
argon2-cffi-bindings=21.2.0=py38h96a0964_1
asn1crypto=1.4.0=pyh9f0ad1d_0
asttokens=2.0.5=pyhd8ed1ab_0
attrs=21.4.0=pyhd8ed1ab_0
babel=2.9.1=pyh44b312d_0
backcall=0.2.0=pyh9f0ad1d_0
backports=1.0=py_2
backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0
black=21.12b0=pyhd8ed1ab_0
blas=1.0=mkl
bleach=4.1.0=pyhd8ed1ab_0
bottleneck=1.3.2=py38hf1fa96c_1
brotlipy=0.7.0=py38h96a0964_1003
ca-certificates=2020.10.14=0
catalogue=2.0.6=py38h50d1736_1
catboost=1.0.4=py38h50d1736_1
certifi=2020.6.20=py38_0
cffi=1.15.0=py38hc55c11b_1
charset-normalizer=2.0.10=pyhd8ed1ab_0
chart-studio=1.1.0=pyh9f0ad1d_0
click=8.0.3=py38h50d1736_1
cloudpickle=2.0.0=pyhd8ed1ab_0
colorama=0.4.4=pyh9f0ad1d_0
colorlover=0.3.0=py_0
configparser=5.2.0=pyhd8ed1ab_0
confuse=1.7.0=pyhd8ed1ab_0
cryptography=36.0.1=py38h56c4533_0
cufflinks-py=0.17.3=py_0
cycler=0.11.0=pyhd8ed1ab_0
cymem=2.0.6=py38ha048514_2
cython-blis=0.7.6=py38hbe852b5_0
databricks-cli=0.12.1=pyhd8ed1ab_0
dataclasses=0.8=pyhc8e2a94_3
datefinder=0.7.1=pyh9f0ad1d_0
debugpy=1.5.1=py38ha048514_0
decorator=5.1.1=pyhd8ed1ab_0
defusedxml=0.7.1=pyhd8ed1ab_0
docker-py=5.0.3=py38h50d1736_2
docker-pycreds=0.4.0=py_0
entrypoints=0.3=pyhd8ed1ab_1003
et_xmlfile=1.0.1=py_1001
executing=0.8.2=pyhd8ed1ab_0
flask=2.0.3=pyhd8ed1ab_0
flit-core=3.6.0=pyhd8ed1ab_0
freetype=2.10.4=h4cff582_1
funcy=1.17=pyhd8ed1ab_0
future=0.18.2=py38h50d1736_4
gensim=4.1.2=py38ha048514_0
gitdb=4.0.9=pyhd8ed1ab_0
gitpython=3.1.27=pyhd8ed1ab_0
greenlet=1.1.2=py38ha048514_1
gunicorn=20.1.0=py38h50d1736_1
htmlmin=0.1.12=py_1
idna=3.3=pyhd8ed1ab_0
imagehash=4.2.1=pyhd8ed1ab_0
imbalanced-learn=0.7.0=py_1
importlib-metadata=4.10.1=py38h50d1736_0
importlib_resources=5.4.0=pyhd8ed1ab_0
intel-openmp=2021.4.0=hecd8cb5_3538
ipykernel=6.7.0=py38h5fd9f69_0
ipython=8.0.1=py38h50d1736_0
ipython_genutils=0.2.0=py_1
ipywidgets=7.6.5=pyhd8ed1ab_0
itsdangerous=2.1.0=pyhd8ed1ab_0
jbig=2.1=h0d85af4_2003
jdcal=1.4.1=py_0
jedi=0.18.1=py38h50d1736_0
jinja2=3.0.3=pyhd8ed1ab_0
joblib=1.1.0=pyhd8ed1ab_0
jpeg=9e=h0d85af4_0
json5=0.9.5=pyh9f0ad1d_0
jsonschema=4.4.0=pyhd8ed1ab_0
jupyter_client=7.1.2=pyhd8ed1ab_0
jupyter_core=4.9.1=py38h50d1736_1
jupyter_server=1.13.4=pyhd8ed1ab_0
jupyterlab=3.2.8=pyhd8ed1ab_0
jupyterlab_pygments=0.1.2=pyh9f0ad1d_0
jupyterlab_server=2.10.3=pyhd8ed1ab_0
jupyterlab_widgets=1.0.2=pyhd8ed1ab_0
kiwisolver=1.3.2=py38h12bbefe_1
kmodes=0.11.1=pyhd8ed1ab_0
langcodes=3.3.0=pyhd8ed1ab_0
lcms2=2.12=h577c468_0
lerc=2.2.1=h046ec9c_0
libblas=3.9.0=12_osx64_mkl
libcblas=3.9.0=12_osx64_mkl
libcxx=12.0.0=h2f01273_0
libdeflate=1.7=h35c211d_5
libffi=3.3=hb1e8313_2
libgfortran=5.0.0=9_3_0_h6c81a4c_23
libgfortran5=9.3.0=h6c81a4c_23
liblapack=3.9.0=12_osx64_mkl
libllvm10=10.0.1=h009f743_3
libpng=1.6.37=h7cec526_2
libprotobuf=3.18.0=hcf210ce_1
libsodium=1.0.18=hbcb3906_1
libtiff=4.3.0=h1167814_1
libwebp-base=1.2.2=h0d85af4_1
libxgboost=1.5.1=cpu_h598c753_2
lightgbm=3.3.2=py38hffa2396_0
llvm-openmp=12.0.1=hda6cdc1_1
llvmlite=0.36.0=py38h872f124_0
lz4-c=1.9.3=he49afe7_1
mako=1.1.6=pyhd8ed1ab_0
markupsafe=2.0.1=py38h96a0964_1
matplotlib-base=3.2.2=py38h1300a51_1
matplotlib-inline=0.1.3=pyhd8ed1ab_0
missingno=0.4.2=py_1
mistune=0.8.4=py38h96a0964_1005
mkl=2021.4.0=hecd8cb5_637
mkl-service=2.4.0=py38h9ed2024_0
mkl_fft=1.3.1=py38h4ab4a9b_0
mkl_random=1.2.2=py38hb2f4e1b_0
mlflow=1.24.0=py38hf6bc2c6_0
mlxtend=0.19.0=pyhd8ed1ab_0
multimethod=1.4=py_0
murmurhash=1.0.6=py38ha048514_2
mypy_extensions=0.4.3=py38h50d1736_4
nbclassic=0.3.5=pyhd8ed1ab_0
nbclient=0.5.10=pyhd8ed1ab_1
nbconvert=6.4.1=py38h50d1736_0
nbformat=5.1.3=pyhd8ed1ab_0
ncurses=6.3=hca72f7f_2
nest-asyncio=1.5.4=pyhd8ed1ab_0
networkx=2.5=py_0
nltk=3.6.7=pyhd8ed1ab_0
notebook=6.4.8=pyha770c72_0
numba=0.53.0=py38hab5c5c7_0
numexpr=2.8.1=py38h2e5f0a9_0
numpy=1.21.2=py38h4b4dc7a_0
numpy-base=1.21.2=py38he0bd621_0
olefile=0.46=pyh9f0ad1d_1
openjpeg=2.4.0=h6e7aa92_1
openpyxl=3.0.5=py_0
openssl=1.1.1n=hca72f7f_0
packaging=21.3=pyhd8ed1ab_0
pandas=1.3.5=py38h743cdd8_0
pandas-profiling=3.0.0=pyhd8ed1ab_0
pandoc=2.17.0.1=h694c41f_1
pandocfilters=1.5.0=pyhd8ed1ab_0
parso=0.8.3=pyhd8ed1ab_0
pathspec=0.9.0=pyhd8ed1ab_0
pathy=0.6.1=pyhd8ed1ab_0
patsy=0.5.2=pyhd8ed1ab_0
pexpect=4.8.0=pyh9f0ad1d_2
phik=0.12.0=py38hf79be9d_1
pickleshare=0.7.5=py_1003
pillow=8.3.2=py38hee640a0_0
pip=21.2.4=py38hecd8cb5_0
platformdirs=2.3.0=pyhd8ed1ab_0
plotly=5.1.0=pyhd3eb1b0_0
preshed=3.0.6=py38ha048514_1
prometheus_client=0.13.0=pyhd8ed1ab_0
prometheus_flask_exporter=0.18.7=pyhd8ed1ab_0
prompt-toolkit=3.0.26=pyha770c72_0
protobuf=3.18.0=py38ha048514_0
ptyprocess=0.7.0=pyhd3deb0d_0
pure_eval=0.2.2=pyhd8ed1ab_0
py-xgboost=1.5.1=cpu_py38he866dac_2
pybind11-abi=4=hd8ed1ab_3
pycaret=2.2.3=pyhd3deb0d_0
pycparser=2.21=pyhd8ed1ab_0
pydantic=1.8.2=py38h96a0964_2
pygments=2.11.2=pyhd8ed1ab_0
pyldavis=3.3.1=pyhd8ed1ab_0
pynndescent=0.5.6=pyh6c4a22f_0
pyod=0.9.8=pyhd8ed1ab_0
pyopenssl=21.0.0=pyhd8ed1ab_0
pyparsing=3.0.7=pyhd8ed1ab_0
pyrsistent=0.18.1=py38h96a0964_0
pysocks=1.7.1=py38h50d1736_4
python=3.8.12=h88f2d9e_0
python-cufflinks=0.17.3=py_0
python-dateutil=2.8.2=pyhd8ed1ab_0
python_abi=3.8=2_cp38
pytz=2021.3=pyhd8ed1ab_0
pywavelets=1.2.0=py38hbe852b5_1
pyyaml=6.0=py38h96a0964_3
pyzmq=22.3.0=py38hd3b92b6_1
querystring_parser=1.2.4=py_0
readline=8.1.2=hca72f7f_1
regex=2022.3.2=py38hed1de0f_0
requests=2.27.1=pyhd8ed1ab_0
retrying=1.3.3=py_2
scikit-learn=0.23.2=py38h740a60c_3
scikit-plot=0.3.7=py_1
scipy=1.7.3=py38hd329d04_0
seaborn=0.11.2=hd8ed1ab_0
seaborn-base=0.11.2=pyhd8ed1ab_0
send2trash=1.8.0=pyhd8ed1ab_0
setuptools=58.0.4=py38hecd8cb5_0
shap=0.40.0=py38ha53d530_1
shellingham=1.4.0=pyh44b312d_0
six=1.15.0=py38hecd8cb5_0
slicer=0.0.7=pyhd8ed1ab_0
smart_open=5.2.1=pyhd8ed1ab_0
smmap=3.0.5=pyh44b312d_0
sniffio=1.2.0=py38h50d1736_2
spacy=3.2.2=py38hb0f0857_0
spacy-legacy=3.0.9=pyhd8ed1ab_0
spacy-loggers=1.0.1=pyhd8ed1ab_0
sqlalchemy=1.4.31=py38h96a0964_0
sqlite=3.37.0=h707629a_0
sqlparse=0.4.2=pyhd8ed1ab_0
srsly=2.4.2=py38ha048514_1
stack_data=0.1.4=pyhd8ed1ab_0
statsmodels=0.13.1=py38hbe852b5_0
tabulate=0.8.9=pyhd8ed1ab_0
tangled-up-in-unicode=0.2.0=pyhd8ed1ab_0
tbb=2021.5.0=h940c156_0
tenacity=8.0.1=py38hecd8cb5_0
terminado=0.13.1=py38h50d1736_0
testpath=0.5.0=pyhd8ed1ab_0
textblob=0.15.3=py_0
thinc=8.0.13=py38hb0f0857_0
threadpoolctl=3.1.0=pyh8a188c0_0
tk=8.6.11=h7bc2e8c_0
tomli=1.2.2=pyhd8ed1ab_0
tornado=6.1=py38h96a0964_2
tqdm=4.63.0=pyhd8ed1ab_0
traitlets=5.1.1=pyhd8ed1ab_0
typed-ast=1.5.2=py38h96a0964_0
typer=0.4.0=pyhd8ed1ab_0
typing-extensions=4.0.1=hd8ed1ab_0
typing_extensions=4.0.1=pyha770c72_0
umap-learn=0.5.2=py38h50d1736_1
urllib3=1.26.8=pyhd8ed1ab_1
visions=0.7.1=pyhd8ed1ab_0
wasabi=0.9.0=pyhd8ed1ab_0
wcwidth=0.2.5=pyh9f0ad1d_2
webencodings=0.5.1=py_1
websocket-client=1.2.3=pyhd8ed1ab_0
werkzeug=2.0.3=pyhd8ed1ab_1
wheel=0.37.1=pyhd3eb1b0_0
widgetsnbextension=3.5.2=py38h50d1736_1
wordcloud=1.8.1=py38h96a0964_2
xgboost=1.5.1=cpu_py38h39ba569_2
xz=5.2.5=h1de35cc_0
yaml=0.2.5=h0d85af4_2
yellowbrick=1.3.post1=pyhd8ed1ab_1
zeromq=4.3.4=he49afe7_1
zipp=3.7.0=pyhd8ed1ab_0
zlib=1.2.11=h4dc903c_4
zstd=1.5.0=h582d3a0_0