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This object represents a polynomial kernel to be used with kernel learning equipment that work on sparse vectors.
This is an easy function that takes a std::vector of sparse vectors and can make positive They may be zero-indexed (e.g. can make guaranteed the main index benefit is zero).
This object signifies a multiclass classifier created out of a set of binary classifiers. Each individual binary classifier is used to vote for the correct multiclass label using a a person vs. all method. Therefore, In case you have N classes then there will be N binary classifiers inside this item.
This object signifies a point in kernel induced aspect Place. You could possibly use this item to locate the space from The purpose it signifies to points in input Room as well as other factors represented by distance_functions.
creal and cimag features which respectively return the real and imaginary elements of a double complex number. Other
An integer constant is really a sequence of digits, by having an optional prefix to denote a number base. Should the sequence of digits is preceded by 0x or 0X (zero x or
Even though the syntax for parameter declarations was augmented to incorporate the design and style Employed in C++, the K&R interface continued to get permitted, for compatibility with current resource code.
Exams a shape_predictor's means to properly predict the element areas of objects. The output is the common distance (calculated in pixels) amongst Each and every aspect and its real place.
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This function normally takes a set of training details for an assignment difficulty and reviews back again if it Recommended Site could probably become a effectively shaped assignment issue.
This object represents a perform that can take a knowledge sample and tasks it into kernel element Area. The result is an actual valued column vector that represents some extent in a very kernel aspect Area. Occasions C++ assignment help of this object are designed utilizing the empirical_kernel_map.
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