treeinterpreter | Python Package Wiki

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

ml_metrics	Machine Learning Evaluation Metrics
interpret-core	Fit interpretable machine learning models. Explain blackbox machine learning.
interpret	Fit interpretable machine learning models. Explain blackbox machine learning.
xtoy	get xtoyed predictions from raw data
jupyter	Jupyter metapackage. Install all the Jupyter components in one go.
pydna	Contains classes and code for representing double stranded DNA and functions for simulating homologous recombination between DNA molecules.
jupyter-contrib-nbextensions	A collection of Jupyter nbextensions.
shap	A unified approach to explain the output of any machine learning model.
dscribe	A Python package for creating feature transformations in applications of machine learning to materials science.
ipyparallel	Interactive Parallel Computing with IPython
lime	Local Interpretable Model-Agnostic Explanations for machine learning classifiers
remi	Python REMote Interface library
SALib	Tools for sensitivity analysis. Contains Sobol, Morris, and FAST methods
ipywidgets	IPython HTML widgets for Jupyter
ipykernel	IPython Kernel for Jupyter
notebook	A web-based notebook environment for interactive computing
menpo	A Python toolkit for handling annotated data
jupyter-core	Jupyter core package. A base package on which Jupyter projects rely.
nbformat	The Jupyter Notebook format

`pip install treeinterpreter==0.2.3`