pip install interpret-core==0.2.7

Fit interpretable machine learning models. Explain blackbox machine learning.

Source
Among top 1% packages on PyPI.
Over 559.5K downloads in the last 90 days.

Commonly used with interpret-core

Based on how often these packages appear together in public requirements.txt files on GitHub.

interpret

Fit interpretable machine learning models. Explain blackbox machine learning.

xtoy

get xtoyed predictions from raw data

dash-cytoscape

A Component Library for Dash aimed at facilitating network visualization in Python, wrapped around Cytoscape.js

shap

A unified approach to explain the output of any machine learning model.

lime

Local Interpretable Model-Agnostic Explanations for machine learning classifiers

SALib

Tools for sensitivity analysis. Contains Sobol, Morris, and FAST methods

Send2Trash

Send file to trash natively under Mac OS X, Windows and Linux.

aix360

IBM AI Explainability 360

osqp

OSQP: The Operator Splitting QP Solver

treeinterpreter

Package for interpreting scikit-learn's decision tree and random forest predictions.

prometheus-client

Python client for the Prometheus monitoring system.

pystardog

Use Stardog with Python!

comet-ml

Supercharging Machine Learning

menpo3d

Menpo library providing tools for 3D Computer Vision research

xport

SAS XPORT file reader

jupyterlab-server

JupyterLab Server

menpo

A Python toolkit for handling annotated data

kaggle

Kaggle API

dash-table

Dash table

Version usage of interpret-core

Proportion of downloaded versions in the last 3 months (only versions over 1%).

0.2.5

44.59%

0.2.6

19.84%

0.2.7

17.05%

0.2.1

10.42%

0.2.4

3.91%

0.1.20

1.89%

0.1.21

1.05%