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It would be valuable and useful to have a "ShuffleSplit" method such as the one available in Scikit-learn in order to split a Sample into, e.g., two subsamples based on a random shuffling strategy.
Why is this needed?
Such a task is very useful for metamodel training and validation.
What is the idea?
It would be valuable and useful to have a "ShuffleSplit" method such as the one available in Scikit-learn in order to split a Sample into, e.g., two subsamples based on a random shuffling strategy.
Why is this needed?
Such a task is very useful for metamodel training and validation.
Additional Context
Here are the main references:
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