Expand description
Out-of-core kernel computations for large datasets
This module provides kernel approximation methods that can work with datasets that don’t fit in memory by processing data in chunks and using efficient streaming algorithms.
Structs§
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Core Config - Configuration for out-of-core processing OutOfCoreConfig
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Core Kernel Pipeline - Out-of-core kernel approximation pipeline
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Core Loader - Out-of-core data loader for large datasets
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Core Nystroem - Out-of-core Nyström method
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CoreRBF Sampler - Out-of-core RBF sampler
Enums§
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Core Strategy - Strategy for out-of-core processing OutOfCoreStrategy