pip install iml==0.6.2

Interpretable Machine Learning (iML) package. Explain the predictions of any model.

Source
Among top 10% packages on PyPI.
Over 14.4K downloads in the last 90 days.

Commonly used with iml

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

orca

A pipeline orchestration tool with Pandas support

sphinx-last-updated-by-git

Get the "last updated" time for each Sphinx page from Git

jupyterlab-git

A server extension for JupyterLab's git extension

jupyterlab-widgets

A JupyterLab extension.

jupyter-alabaster-theme

Jupyter Alabaster Theme

pymining

Small collection of data mining algorithms

jupyter_dashboards

Extension for Jupyter Notebook for laying out, viewing, and deploying notebooks as dynamic dashboards

jupyter_cms

Extension for Jupyter Notebook 4.0.x with experimental content management features

jupyter_declarativewidgets

Jupyter extensions for supporting declarative widgets

ipysankeywidget

Display Sankey diagrams in Jupyter

tqsdk

TianQin SDK

bhtsne

Python module for Barnes-Hut implementation of t-SNE (Cython)

Mesa

Agent-based modeling (ABM) in Python 3+

nteract-scrapbook

A library for recording and reading data in Jupyter and nteract Notebooks

dHydra

A framework for saving & data mining Chinese Stocks

liveplots

Real-time live plot server

pyconsensus

Standalone implementation of Augur's consensus mechanism

tigeropen

TigerBrokers Open API

rqdatac

Ricequant Data SDK

Version usage of iml

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

0.6.2

84.90%

0.4.0

4.07%

0.6.0

1.91%