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Performs k-fold cross validation with a person equipped position coach item such as the svm_rank_trainer and returns the fraction of position pairs ordered accurately and also the suggest normal precision.
This is the batch coach object that is meant to wrap online trainer objects that build decision_functions. It turns an online Understanding algorithm like svm_pegasos into a batch Discovering object.
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This is actually a pair of overloaded functions. Between The 2 of these they Enable you to preserve sparse or dense information vectors to file utilizing the LIBSVM structure.
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Performs k-fold cross validation on the consumer provided regression coach item like the svr_trainer and returns the mean squared error and R-squared price.
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