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Another parameter is a j x n array consisting of j unlabeled, n- dimensional observations. This functionality will output a 1-dimensional array consisting of j labels for that test array observations. It determines Individuals labels in the next way: For every observation (row) with the test array it will discover the nearest observation in the coaching array and use its label to label the examination observation.

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Sumolib is a Python library which is a set of Python modules working with SUMO networks and also other simulation artifacts.

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