py-earth | Python implementation of Jerome Friedman | Machine Learning library

by scikit-learn-contrib Python Version: 0.1.0 License: BSD-3-Clause

X-Ray Key Features Code Snippets(1)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | py-earth Summary

py-earth is a Python library typically used in Artificial Intelligence, Machine Learning, Pandas applications. py-earth has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install py-earth' or download it from GitHub, PyPI.

A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines

Support

Quality

Security

License

Reuse

Support

py-earth has a low active ecosystem.

It has 441 star(s) with 108 fork(s). There are 29 watchers for this library.

It had no major release in the last 12 months.

There are 43 open issues and 108 have been closed. On average issues are closed in 117 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of py-earth is 0.1.0

Quality

py-earth has 0 bugs and 0 code smells.

Security

py-earth has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

py-earth code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

py-earth is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

py-earth releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

py-earth saves you 2026 person hours of effort in developing the same functionality from scratch.

It has 4453 lines of code, 218 functions and 44 files.

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

Top functions reviewed by kandi - BETA

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

Extract the version information from the VCS
Return a list of pieces from the git repository
Returns a configuration object
Return a dictionary of the keyword arguments
Fit the model
Scrub data
Scrub missing values
Return a list of column names
Create the versioneer config file
Build a ConfigParser from a root
Run git commands
Install versioneer
Setup the package
Extract version information from VCS
Get the list of all the extension modules
Return a copy of the given cmdclass
Convenience function for XKCD
Calculates the line of a line
Compute the mean value of the model
Predict data for X
Compute the derivative of the derivative of X
Compute the loss of the model
Return a summary of the feature importances
Scans the setup py and returns a boolean indicating whether it is missing
Predict from X
Return a summary of the Earth model

Get all kandi verified functions for this library.

py-earth Key Features

No Key Features are available at this moment for py-earth.

py-earth Examples and Code Snippets

Import `pyearth` in Google Colab (`from pyearth import Earth` error)

Python

Lines of Code : 6

License : Strong Copyleft (CC BY-SA 4.0)

Copy

# Clone repo
!pip install git+https://github.com/scikit-learn-contrib/py-earth@v0.2dev

# Import model
from pyearth import Earth

Community Discussions

Trending Discussions on py-earth

Update scikit-learn

QUESTION

Update scikit-learn

Asked 2020-Jul-06 at 10:17

I successfully installed scikit-learn 0.23.1 with pip.

...

ANSWER

Answered 2020-Jul-06 at 10:17

I discovered that I have two versions of python, the first is included in anaconda and the second outside of anaconda I solved the problem by:

uninstall of two versions
installation only anaconda

Source https://stackoverflow.com/questions/62589954

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

Vulnerabilities

No vulnerabilities reported

Install py-earth

You can install using 'pip install py-earth' or download it from GitHub, PyPI.
You can use py-earth like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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