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This is a simple perform that usually takes a std::vector of sparse vectors and can make positive They're zero-indexed (e.g. will make certain the 1st index value is zero).

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This item signifies a linear kernel for use with kernel Understanding machines that operate on sparse vectors.

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Performs k-fold cross validation over a person provided regression coach item including the svr_trainer and returns the imply squared error and R-squared price.

This purpose requires a set of training information for a sequence labeling issue and reviews back again if it could potentially be navigate to this site a perfectly formed sequence labeling difficulty.

That is definitely, Each individual spherical of back again propagation training view it also adds a fraction with the former update. This portion is managed because of the momentum expression set within the constructor.

This item is a tool for turning lots of binary classifiers right into a multiclass classifier. It does this by coaching the binary classifiers inside of a one vs.

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Notice that this is simply a ease wrapper around the structural_svm_assignment_problem to really make it glance much like all the other trainers in dlib.

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It’s challenging to productively complete C programming assignments when you don’t have a firm grasp regarding how to generate libraries. 

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