iris | analysing iris plants dataset

by dr-riz Python Version: Current License: No License

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kandi X-RAY | iris Summary

iris is a Python library. iris has no bugs, it has no vulnerabilities and it has low support. However iris build file is not available. You can download it from GitHub.

Analysing Iris Plants dataset with Python. I collected and annotated the python code at Dr. Brownlee's blog post [1] in a python script (iris.py). The idea is to see the development process, which later might feed into a template. His work [2] is a very useful contribution to ML education and practise.

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Quality

Security

License

Reuse

Support

iris 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 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of iris is current.

Quality

iris has no bugs reported.

Security

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

License

iris 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.

Reuse

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

iris has no build file. You will be need to create the build yourself to build the component from source.

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

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iris Key Features

No Key Features are available at this moment for iris.

iris Examples and Code Snippets

No Code Snippets are available at this moment for iris.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install iris

You can download it from GitHub.
You can use iris 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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