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Author:
hscredit team
Summary:
hscredit 面向金融信贷风控策略分析与评分模型研发场景，提供符合 sklearn Pipeline 范式的量化建模工具箱，覆盖数据探索、特征筛选、分箱编码、有效性评估、模型训练、参数调优与报告生成，支持从策略验证到模型落地的端到端风险决策流程。鉴真伪，斟信用，衡风险，枢定策 —— 衡枢真信，智能风控，一站掌控。
Latest version:
0.1.2
Required dependencies:
bottleneck
|
cloudpickle
|
cython
|
dill
|
graphviz
|
ipython
|
joblib
|
lz4
|
matplotlib
|
numexpr
|
numpy
|
openpyxl
|
ortools
|
packaging
|
pandas
|
pyarrow
|
pyecharts
|
scikit-learn
|
scipy
|
seaborn
|
shap
|
statsmodels
|
tqdm
|
zstandard
Optional dependencies:
black
|
build
|
catboost
|
check-manifest
|
clickhouse-connect
|
cmaes
|
dbutils
|
flake8
|
hscredit
|
impyla
|
ipykernel
|
jpype1
|
jsonschema
|
lightgbm
|
mypy
|
myst-parser
|
nbclient
|
nbformat
|
nbsphinx
|
ngboost
|
optuna
|
optuna-dashboard
|
optunahub
|
oracledb
|
plotly
|
pymongo
|
pymysql
|
pyodps
|
pypmml
|
pytest
|
pytest-cov
|
pytorch-tabnet
|
pyzmq
|
redis
|
scikit-learn
|
sklearn2pmml
|
sphinx
|
sphinx-rtd-theme
|
tomli
|
torch
|
twine
|
xgboost
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