KernelPCA is an extension of PCA which achieves non-linear dimensionality reduction through the use of kernels(see Pairwise metrics, Affinities and Kernels)..
如果添加新工作的kernel暂停了,GMU将会保持其休眠直到它依赖的工作完成。
If the kernel that dispatched the additional workload pauses, the GMU will hold it inactive until the dependent work has completed.
Applications that use zero copy request that the kernel copy the data directly from the disk file to the socket, without going through the application.
The fit function takes two arguments: n_components, which is the target dimensionality of the feature transform, and gamma, the parameter of the RBF-kernel.
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