factor_analyzer | A Python module to perform exploratory & confirmatory factor analyses | Machine Learning library

by EducationalTestingService Python Version: v0.4.1 License: GPL-2.0

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

kandi X-RAY | factor_analyzer Summary

factor_analyzer is a Python library typically used in Artificial Intelligence, Machine Learning, Pytorch applications. factor_analyzer has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install factor_analyzer' or download it from GitHub, GitLab, PyPI.

A Python module to perform exploratory & confirmatory factor analyses.

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Quality

Security

License

Reuse

Support

factor_analyzer has a low active ecosystem.

It has 187 star(s) with 62 fork(s). There are 17 watchers for this library.

It had no major release in the last 12 months.

There are 7 open issues and 59 have been closed. On average issues are closed in 174 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of factor_analyzer is v0.4.1

Quality

factor_analyzer has 0 bugs and 22 code smells.

Security

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

factor_analyzer code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

factor_analyzer is licensed under the GPL-2.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

factor_analyzer releases are available to install and integrate.

Deployable package is available in PyPI.

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

factor_analyzer saves you 985 person hours of effort in developing the same functionality from scratch.

It has 2241 lines of code, 173 functions and 14 files.

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

Top functions reviewed by kandi - BETA

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

Parse a model specification from a dictionary
Return unique elements in a sequence
Compute objective function
Splits x and covariance matrix
Convert a covariance matrix to a correlation matrix
Merge variance covariance matrix
Fit the model
Oblique objective function
Perform orthogonalization of loadings
Return a shallow copy of the object
Return a list of requirements txt
Return a copy of the covariance matrix
List of loadings
Returns a copy of the error variables
A dictionary of loadings that are free
Return a dictionary containing the variables that are free
All factor covariance matrix
Read the README rst file

Get all kandi verified functions for this library.

factor_analyzer Key Features

No Key Features are available at this moment for factor_analyzer.

factor_analyzer Examples and Code Snippets

No Code Snippets are available at this moment for factor_analyzer.

Community Discussions

Trending Discussions on factor_analyzer

ModuleNotFoundError: No module named 'factor_analyzer' - Python Notebook

QUESTION

ModuleNotFoundError: No module named 'factor_analyzer' - Python Notebook

Asked 2020-May-16 at 02:23

I am trying to import this module "FactorAnalyzer" for EFA (Exploratory Factor Analysis) using the code in a Notebook session (IBM Watson Studio Notebook):

...

ANSWER

Answered 2020-May-16 at 02:20

You can do !pip install factor_analyzer before importing the same. Then notebook will install it if it is available in pip package.

PS: I wrote this because you said if, in the terminal, you would have done pip install factor_analyzer to solve this

Source https://stackoverflow.com/questions/61830329

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

Vulnerabilities

No vulnerabilities reported

Install factor_analyzer

You can install using 'pip install factor_analyzer' or download it from GitHub, GitLab, PyPI.
You can use factor_analyzer 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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