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py/gp.py
4
py/gp.py
@ -1,4 +1,6 @@
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import numpy as np
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from node2vec import Node2Vec
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from sklearn.gaussian_process.kernels import Kernel, Hyperparameter
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from sklearn.gaussian_process.kernels import GenericKernelMixin
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from sklearn.gaussian_process import GaussianProcessRegressor
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@ -12,7 +14,7 @@ class BookKernel(GenericKernelMixin, Kernel):
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self.G = G
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self.node2vec = Node2Vec(self.G, dimensions=32, walk_length=16, num_walks=256, workers=8)
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self.model = node2vec.fit(window=10, min_count=1, batch_words=4)
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self.model = self.node2vec.fit(window=10, min_count=1, batch_words=4)
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self.wv = self.model.wv
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def _f(self, s1, s2):
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