7db7922ab3e1d322cb2fd44ab2d29d5c27172540,lazyflow/operators/classifierOperators.py,OpPredictRandomForest,execute,#OpPredictRandomForest#Any#Any#Any#Any#,227

Before Change

        // If our LabelsCount is higher than the number of labels in the training set,
        // then our results aren"t really valid.
        // Duplicate the last label"s predictions
        chanslice = slice(min(key[-1].start, forests[0].labelCount()-1), min(key[-1].stop, forests[0].labelCount()))

        t3 = time.time()

        // logger.info("Predict took %fseconds, actual RF time was %fs, feature time was %fs" % (t3-t1, t3-t2, t2-t1))

        return prediction[...,chanslice] // FIXME: This assumes that channel is the last axis

After Change

        // If our LabelsCount is higher than the number of labels in the training set,
        // then our results aren"t really valid.  FIXME !!!
        // Duplicate the last label"s predictions
        for c in range(result.shape[-1]):
            result[...,c] = prediction[...,min(c+key[-1].start, prediction.shape[-1]-1)]

        t3 = time.time()

        // logger.info("Predict took %fseconds, actual RF time was %fs, feature time was %fs" % (t3-t1, t3-t2, t2-t1))
        return result

Instances