V0.2.x #46
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V0.2.x #46
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…tween two different list of graphs using fit/transform methods which uses the same scheme as the scikit-learn library!
…edCV class and a Workflow class for graph kernel computation.
… the task type of the given dataset (regression or classification).
… an excepetion if the diagonal includes negative values.\n[Enhancement] gklearn.utils.get_graph_kernel_by_name function now accepts strings of kernel names the same as the keys of gklearn.kernels.GRAPH_KERNELS and supports more graph kernels.
…transforms inputs to numpy.array of float values. This may be faster, but may cause some errors to the previous codes.
… handle lists as inputs.
…raphs in GraphKernel class.
…ls (for Gram matrix computation without parallelization). Meanwhile, the dummy labels are no longer added a priori.
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