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 | 60b3438d0bf2bc50ef2d9ee870d0cdd8 |
arch | x86_64 |
build | py310h06a4308_0 |
depends | numpy <2.0a0, python >=3.10,<3.11.0a0, scikit-learn >=0.17 |
license | BSD-3-Clause |
license_family | BSD |
md5 | 60b3438d0bf2bc50ef2d9ee870d0cdd8 |
name | treeinterpreter |
platform | linux |
sha1 | 838d757712c8feba82338400c69cc01a4348b0ea |
sha256 | 8858a1f9f3b6629f562d896cfa31f948e6fdeb04ad0e9fa2c3dbc8a0edac4be9 |
size | 13376 |
subdir | linux-64 |
timestamp | 1692192072150 |
version | 0.2.3 |