Input and Output Configurability in RAPIDS cuML – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-22T23:41:45Z http://www.open-lab.net/blog/feed/ Dante Gama Dessavre <![CDATA[Input and Output Configurability in RAPIDS cuML]]> http://www.open-lab.net/blog/?p=34155 2022-08-21T23:52:07Z 2021-07-08T19:30:00Z The RAPIDS machine learning library, cuML, supports several types of input data formats while attempting to return results in the output format that fits best...]]> The RAPIDS machine learning library, cuML, supports several types of input data formats while attempting to return results in the output format that fits best...

The RAPIDS machine learning library, cuML, supports several types of input data formats while attempting to return results in the output format that fits best into users�� workflows. The RAPIDS team has added functionality to cuML to support diverse types of users: Users with existing NumPy, Scikit-learn, and traditional PyData libraries-based workflows: cuML��s default behavior��

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