treeexplainer-study | Code and documentation for experiments in the TreeExplainer paper | Machine Learning library

by suinleelab HTML Version: Current License: No License

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kandi X-RAY | treeexplainer-study Summary

treeexplainer-study is a HTML library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Visual Studio Code applications. treeexplainer-study has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Code and documentation for experiments in the TreeExplainer paper

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treeexplainer-study has a low active ecosystem.

It has 158 star(s) with 42 fork(s). There are 15 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of treeexplainer-study is current.

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treeexplainer-study has 0 bugs and 0 code smells.

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treeexplainer-study has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

treeexplainer-study code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

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treeexplainer-study does not have a standard license declared.

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Without a license, all rights are reserved, and you cannot use the library in your applications.

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treeexplainer-study releases are not available. You will need to build from source code and install.

It has 2977 lines of code, 10 functions and 24 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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Community Discussions

Trending Discussions on treeexplainer-study

How to view specific rows clustering within shap and scipy?

QUESTION

How to view specific rows clustering within shap and scipy?

Asked 2021-Mar-14 at 08:55

I have a genetic dataset where I have 600 rows of genes by 11 features I use in machine learning in a regression classification to predict disease-causing genes.

I am trying to view the hierarchical clustering of rows that is performed within the shap package. I am specifically running the shap heatmap - shap.plots.heatmap(shap_values, max_display=11) - and trying to view the data for the rows/genes being clustered in this plot (example plot shown here: https://shap.readthedocs.io/en/latest/example_notebooks/api_examples/plots/heatmap.html).

The code I run to try and get the clustering performed within shap (within the shap.plots.heatmap() function) is:

...

ANSWER

Answered 2021-Mar-14 at 08:55

As pointed by @user12750353 that scipy.spatial.distance.pdist takes ndarray and shap_values is type of shap._explanation.Explanation

shap_values object as an attribute values which is the result in ndarray format that can be used with scipy.spatial.distance.pdist

Source https://stackoverflow.com/questions/66548539

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