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Author:
Dominic Histed
License:
MIT
Summary:
Create Prediction Intervals such as Quantile Regression, Conformalized Quantile Regression, and bootstrapping using XGBoost
Latest version:
0.1.9
Required dependencies:
arrow
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asttokens
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binaryornot
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certifi
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chardet
|
charset-normalizer
|
click
|
colorama
|
comm
|
contourpy
|
cookiecutter
|
cycler
|
debugpy
|
decorator
|
executing
|
fonttools
|
idna
|
ipykernel
|
ipython
|
jedi
|
jinja2
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joblib
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jupyter-client
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jupyter-core
|
kiwisolver
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markdown-it-py
|
markupsafe
|
matplotlib
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matplotlib-inline
|
mdurl
|
nest-asyncio
|
numpy
|
packaging
|
pandas
|
parso
|
pillow
|
platformdirs
|
prompt-toolkit
|
psutil
|
pure-eval
|
pygments
|
pyparsing
|
python-dateutil
|
python-slugify
|
pytz
|
pywin32
|
pyyaml
|
pyzmq
|
requests
|
rich
|
scikit-learn
|
scipy
|
seaborn
|
setuptools
|
six
|
stack-data
|
text-unidecode
|
threadpoolctl
|
tornado
|
traitlets
|
types-python-dateutil
|
tzdata
|
urllib3
|
wcwidth
|
wheel
|
xgboost
Optional dependencies:
mypy
|
pytest
|
pytest-cov
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