Factual package intelligence from PyPI
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。
pip install hscredit
PyPI declares 50 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.29>=1.23.0>=2.0.0>=1.5.0>=2.7.0>=0.24.0>=0.12.0>=1.0.0>=3.0.0>=3.3.0>=0.11.0>=1.9.0The compact report shows 12 of 50 declarations. The interactive dependency graph loads the complete metadata.
hscredit publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14, 3.9.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .