cavemanstatistics | Package containing search methods for finding highest R

by kgeoffrey Python Version: Current License: MIT

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

kandi X-RAY | cavemanstatistics Summary

cavemanstatistics is a Python library. cavemanstatistics has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This package contains brute-force search methods for finding highest R^2 (of linear regression models with specified or unspecified dependant variable) in a dataset. This project is mainly intended to get to know packaging with pypi.org and to develope my workflow. In the future I'd like to vectorize the loops and maybe add more search options and better search methods. Be careful about combinatorial explosion and set the bounds appropriately.

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Support

cavemanstatistics has a low active ecosystem.

It has 5 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of cavemanstatistics is current.

Quality

cavemanstatistics has no bugs reported.

Security

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

License

cavemanstatistics is licensed under the MIT License. This license is Permissive.

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

Reuse

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

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

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

Top functions reviewed by kandi - BETA

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

Solve the model
Prints out the best models
Computes the R^2
Generate the powerset
Returns a dictionary for assignment
Return a dictionary with the regression of the model
Return subset of X
Solve the problem
Output a table of best models
Regress the model
Generates the powerset
Search the model
Return a subset of X

Get all kandi verified functions for this library.

cavemanstatistics Key Features

No Key Features are available at this moment for cavemanstatistics.

cavemanstatistics Examples and Code Snippets

No Code Snippets are available at this moment for cavemanstatistics.

Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install cavemanstatistics

You can download it from GitHub.
You can use cavemanstatistics 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

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system. ExhaustiveSearch().solve() returns a touple containing a string (dependant variable) and a list (explanatory variables) and a sorted dictionary with all results. BruteForce().solve() returns a touple containing a string (dependant) and a list (explanatory variables) and a sorted dictionary with all results.

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