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The other parameter is actually a j x n array consisting of j unlabeled, n- dimensional observations. This operate will output a one-dimensional array consisting of j labels with the examination array observations. see it here It decides those labels in the next way: check my source For each observation (row) with the exam array it will find the nearest observation inside the teaching array and use its label to label the exam observation.
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