Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...

I tried a custom ranking objective function for LGBMRanker but LGBMRanker does not call the custom loss function with the group argument, which is mandatory for learning to rank. import lightgbm as ...

Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...

Functions are the building blocks of Python programs. They let you write reusable code, reduce duplication, and make projects easier to maintain. In this guide, we’ll walk through all the ways you can ...

1 Department of Civil Engineering, King Saud University, Riyadh, Saudi Arabia 2 Department of Civil, Materials, and Environmental Engineering, The University of Illinois Chicago, Chicago, IL, United ...

Industrial organizations are racing to implement AI, yet many struggle to demonstrate concrete value from their investments. The missing element isn't better algorithms or more data; it's clarity ...

1 Department of Software Engineering, Faculty of Graduate Studies for Statistical Research (FGSSR), Cairo University, Giza, Egypt. 2 Department of Information Systems, Higher Institute of Advanced ...

The patient-reported measures evaluated in this study showed moderate or weak correlations with objective measures of physical function. Correlation between patient-reported physical function and ...

In the optimization tab, there are two options for entering 'Objective/Constraints': 'Simple Python Expression' and 'Custom Python'. Upon selecting 'Custom Python' the user is directed to create a ...