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updated the docs
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@ -601,7 +601,7 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
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<spec_file link="true">dlib/svm/function_abstract.h</spec_file>
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<description>
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This object represents a binary decision function for use with
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support vector machines. It returns an
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kernel-based learning-machines. It returns an
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estimate of the probability that a given sample is in the +1 class.
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</description>
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<examples>
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@ -1018,7 +1018,7 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
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that create <a href="#decision_function">decision_function</a> objects.
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It performs post processing on the output decision_function objects
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with the intent of representing the decision_function with fewer
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support vectors.
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basis vectors.
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</description>
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</component>
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@ -1066,7 +1066,7 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
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that create <a href="#decision_function">decision_function</a> objects.
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It performs post processing on the output decision_function objects
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with the intent of representing the decision_function with fewer
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support vectors.
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basis vectors.
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</p>
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<p>
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It begins by performing the same post processing as
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