LIME, which stands for Local Interpretable Model-Agnostic Explanations, is a technique used in machine learning to explain the predictions of any classifier model. It is particularly useful for understanding the logic behind complex models that are often referred to as black boxes. For humans to trust AI systems, it is essential for models to be explainable to users. AI interpretability reveals what is happening within these systems and helps identify potential issues such as information leakage, model bias, robustness, and causality. LIME offers a generic framework to uncover black boxes and provides the why behind AI-generated predictions or recommendations.

Key features of LIME:

• Model-agnostic: It can be used to explain any classifier model, regardless of its internal workings.
• Local explanations: It provides explanations for individual predictions, rather than trying to explain the entire model at once.
• Open Source.
• Interpretable explanations: The explanations are generated using simple models that are easy for humans to understand.

To check the version of LIME, run the Windows Command Prompt as administrator and follow the steps below: i) Change the directory to C:\Limeproject by running: cd C:\Limeproject ii) Activate the virtual environment created to install LIME by running: myenv\Scripts\activate.bat iii) To check the version of LIME: pip show lime (You will see the version as: 0.2.0.1)

We at Apps4Rent help you deploy LIME across different operating systems on Azure. Tested by the Apps4rent engineers, LIME on Windows Server 2016 is supported by Azure cloud infrastructure precisely. In case you have any issues, our Azure experts are available 24/7 via phone, chat, and email. Get in touch today!

Disclaimer: Apps4Rent does not offer commercial licenses of any of the products mentioned above. The products come with open source licenses. 

Default ports:

• RDP: 3389
• HTTP: 80
• HTTPS: 443

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