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This is a straightforward linear kmeans clustering implementation. It uses Euclidean distance to compare samples.
That is a ease perform for producing batch_trainer objects that happen to be setup to utilize a kernel matrix cache.
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This object is an easy coach publish processor that lets you quickly modify the bias phrase in the educated decision_function object. Which is, this item allows you decide a point around the ROC curve and it'll change the bias term appropriately.
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This purpose usually takes a established of coaching info for a sequence labeling dilemma and stories back if it could quite possibly be described as a very well formed sequence labeling issue.
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Having said that, any transfers in the device for the host happen synchronously from the default CUDA stream. Therefore, you ought to carry out all your CUDA kernel launches about the default stream to make sure that transfers again on the host do not take place before the relevant computations have finished.
This object is usually a tensor that aliases A further tensor. That may be, it doesn't have its individual block of memory but as an alternative simply just holds tips to the memory of another tensor object. It thus permits you to effectively break a tensor into parts and pass All those parts into functions.
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