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This item implements a trainer for doing epsilon-insensitive help vector regression. It is implemented utilizing the SMO algorithm, permitting the usage of non-linear kernels. For those who have an interest in carrying out help vector regression by using a linear kernel and you've got a lot of training information then you need to use the svr_linear_trainer which is extremely optimized for this scenario.
This is an easy linear kmeans clustering implementation. It takes advantage of Euclidean distance to match samples.
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This object is a simple coach write-up processor that means that you can quickly change the bias phrase inside a qualified decision_function object. That is, this item lets you choose a point to the ROC curve and it'll alter the bias expression properly.
Pc networking can make it probable for corporates to retailer and accessibility bulk details from numerous distant servers.
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A knowledge tree is a crucial source in programming here since it enables the computer programmer to rank critical facts utilizing a hierarchy program.
This object represents a sigmoid kernel for use with kernel Mastering equipment that work on sparse vectors.
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