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LogisticRegression | Logistic Regression

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kandi X-RAY | LogisticRegression Summary

LogisticRegression is a Python library. LogisticRegression has no bugs, it has no vulnerabilities and it has low support. However LogisticRegression build file is not available. You can download it from GitLab.
Logistic Regression is a Machine Learning classification algorithm that is used to predict the probability of a categorical dependent variable. In logistic regression, the dependent variable is a binary variable that contains data coded as 1 or 0

kandi-support Support

  • LogisticRegression has a low active ecosystem.
  • It has 0 star(s) with 0 fork(s). There are no watchers for this library.
  • It had no major release in the last 12 months.
  • LogisticRegression has no issues reported. On average issues are closed in 13 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of LogisticRegression is current.

quality kandi Quality

  • LogisticRegression has no bugs reported.

securitySecurity

  • LogisticRegression has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

license License

  • LogisticRegression 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.

buildReuse

  • LogisticRegression releases are not available. You will need to build from source code and install.
  • LogisticRegression has no build file. You will be need to create the build yourself to build the component from source.
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LogisticRegression Key Features

Logistic Regression is a Machine Learning classification algorithm that is used to predict the probability of a categorical dependent variable. In logistic regression, the dependent variable is a binary variable that contains data coded as 1 or 0

LogisticRegression Examples and Code Snippets

No Code Snippets are available at this moment for LogisticRegression.Refer to component home page for details.

No Code Snippets are available at this moment for LogisticRegression.Refer to component home page for details.

Community Discussions

No Community Discussions are available at this moment for LogisticRegression.Refer to stack overflow page for discussions.

No Community Discussions are available at this moment for LogisticRegression.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install LogisticRegression

You can download it from GitLab.
You can use LogisticRegression 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 GitLab. If you have any questions check and ask questions on community page Stack Overflow .

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