5 Python libraries to interpret machine learning models By Cointelegraph
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Understanding machine learning models’ behavior, predictions, and interpretation is essential for ensuring fairness and transparency in artificial intelligence (AI) applications. Many Python modules offer methods and tools for interpreting models. Here are five to examine:
A Python library is a collection of pre-written code, functions and modules that extend the capabilities of Python programming. Libraries are designed to provide specific functionalities, making it easier for developers to perform various tasks without writing all the code from scratch.
Shapley Additive Explanations
Local Interpretable Model-Independent Explanations
Explain Like I’m 5
Yellowbrick
PyCaret
Continue Reading on Coin Telegraph
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Understanding machine learning models’ behavior, predictions, and interpretation is essential for ensuring fairness and transparency in artificial intelligence (AI) applications. Many Python modules offer methods and tools for interpreting models. Here are five to examine:
A Python library is a collection of pre-written code, functions and modules that extend the capabilities of Python programming. Libraries are designed to provide specific functionalities, making it easier for developers to perform various tasks without writing all the code from scratch.
Shapley Additive Explanations
Local Interpretable Model-Independent Explanations
Explain Like I’m 5
Yellowbrick
PyCaret
Continue Reading on Coin Telegraph
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