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Python implementation for Gradient COBRA by S. Has (2023) with other aggregation and kernel methods.
Readme
.. image:: https://raw.githubusercontent.com/hassothea/gradientcobra/main/gradientcobra_logo.svg :width: 200 :alt: Gradient COBRA Logo
|Python39| |Python310|
Gradientcobra
is python
package implementation of Gradient COBRA method by S. Has (2023) <https://jdssv.org/index.php/jdssv/article/view/70>
__, as well as other aggregation and kernel methods.
When the loss function of is smooth enough, gradient descent algorithm can be used to efficiently estimate the bandwidth parameter of the model.
For more information, read the "Documentation and Examples" below.
In your terminal, run the following command to download and install from PyPI:
pip install gradientcobra
If you find gradientcobra
helpful, please consider citing the following papaers:
S.\ Has (2023), Gradient COBRA: A kernel-based consensual aggregation for regression <https://jdssv.org/index.php/jdssv/article/view/70>
__.
A.\ Fischer and M. Mougeot (2019), Aggregation using input-output trade-off <https://www.sciencedirect.com/science/article/pii/S0378375818302349>
__.
G.\ Biau, A. Fischer, B. Guedj and J. D. Malley (2016), COBRA: A combined regression strategy <https://doi.org/10.1016/j.jmva.2015.04.007>
__.
For more information about the library:
gradientcobra documentation <https://hassothea.github.io/files/CodesPhD/gradientcobra_doc.html>
__.Read more about aggregation and kernel methods, see:
GradientCOBRA documentation <https://hassothea.github.io/files/CodesPhD/gradientcobra.html>
__.
MixCOBRARegressor documentation <https://hassothea.github.io/files/CodesPhD/mixcobra.html>
__.
Kernel Smoother documentation <https://hassothea.github.io/files/CodesPhD/kernelsmoother.html>
__.
Super Learner documentation <https://hassothea.github.io/files/CodesPhD/superlearner.html>
__.
.. |Travis Status| image:: https://img.shields.io/travis/hassothea/gradientcobra.svg?branch=master :target: https://travis-ci.org/hassothea/gradientcobra
.. |Python39| image:: https://img.shields.io/badge/python-3.9-green.svg :target: https://pypi.python.org/pypi/gradientcobra
.. |Python310| image:: https://img.shields.io/badge/python-3.10-blue.svg :target: https://pypi.python.org/pypi/gradientcobra
.. |Coverage Status| image:: https://img.shields.io/codecov/c/github/hassothea/gradientcobra.svg :target: https://codecov.io/gh/hassothea/gradientcobra
FAQs
Python implementation for Gradient COBRA by S. Has (2023) with other aggregation and kernel methods.
We found that gradientcobra demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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