Package for interpreting scikit-learn's decision tree and random forest predictions. Allows decomposing each prediction into bias and feature contribution components.
Uploaded | Tue Apr 1 00:35:09 2025 |
md5 checksum | 6cb4aa68aa8d922cf2b5a32dc15cbe7d |
arch | x86_64 |
build | py312h06a4308_0 |
depends | numpy <2.0a0, python >=3.12,<3.13.0a0, scikit-learn >=0.17 |
license | BSD-3-Clause |
license_family | BSD |
md5 | 6cb4aa68aa8d922cf2b5a32dc15cbe7d |
name | treeinterpreter |
platform | linux |
sha1 | 123b34784b6d910c662b3db027c1660770232428 |
sha256 | aabfa594e89a3462968d19144496a485238d1685ff032187192e8e7c2b63d477 |
size | 15020 |
subdir | linux-64 |
timestamp | 1698903339449 |
version | 0.2.3 |