NodeHarvest | Node Harvest selects a small subset | Machine Learning library

by mbillingr Python Version: Current License: No License

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kandi X-RAY | NodeHarvest Summary

NodeHarvest is a Python library typically used in Artificial Intelligence, Machine Learning applications. NodeHarvest has no bugs, it has no vulnerabilities and it has low support. However NodeHarvest build file is not available. You can download it from GitHub.

Node Harvest selects a small subset of nodes from a Random Forest predictor. This potentially increases both, interpretability and predictive accuracy. For details about the algorithm see [1] (pdf). This implementation is written in Python 3 and works on top of the RandomForestRegressor from scikit-learn. For solving the quadratic optimization either scipy.optimize.minimize (slow) or [cvxopt.solvers.qp] ((preferred) are available. [1] [N. Meinshausen. "Node Harvest". The Annals of Applied Statistics, 4(4), 2010] (

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Support

NodeHarvest has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

NodeHarvest has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of NodeHarvest is current.

Quality

NodeHarvest has no bugs reported.

Security

NodeHarvest has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

NodeHarvest does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

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

Reuse

NodeHarvest releases are not available. You will need to build from source code and install.

NodeHarvest has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed NodeHarvest and discovered the below as its top functions. This is intended to give you an instant insight into NodeHarvest implemented functionality, and help decide if they suit your requirements.

Fit a forest to a given forest
Prune the tree
Generate the features from the forest
Compute coverage matrix
Test the solve
R Solve quadratic model
Solve cvx2
Compute null space
Test the test
Return unique rows
Test if the two trees are the same
Generate dummy forest
Compute the AABB of a tree
Split the AABB
Test the nodeHarvest function
Predict the value for each node
Test the Weighted Tree
Return a list of rule rules
Calculate the prediction

Get all kandi verified functions for this library.

NodeHarvest Key Features

No Key Features are available at this moment for NodeHarvest.

NodeHarvest Examples and Code Snippets

No Code Snippets are available at this moment for NodeHarvest.

Community Discussions

Trending Discussions on NodeHarvest

List Learners in Mlr including Unistalled Ones

QUESTION

List Learners in Mlr including Unistalled Ones

Asked 2017-Aug-02 at 16:54

I want to get a list of all clustering algorithms integrated in the mlr package. I excpected this code to return them, but it excludes the uninstalled ones:

...

ANSWER

Answered 2017-Aug-02 at 13:07

tl;dr

you can find them here.

Explanation

If you set

Source https://stackoverflow.com/questions/45459846

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install NodeHarvest

There is no installer yet. Simply copy nodeharvest.py into your project source tree.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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