def mmGetMetricSequencesPredictedActiveCellsShared(self):
self._mmComputeTransitionTraces()<EOL>numSequencesForCell = defaultdict(lambda: <NUM_LIT:0>)<EOL>for predictedActiveCells in (<EOL>self._mmData["<STR_LIT>"].values()):<EOL><INDENT>for cell in predictedActiveCells:<EOL><INDENT>numSequencesForCell[cell] += <NUM_LIT:1><EOL><DEDENT><DEDENT>return Metric(self,<EOL>"<STR_LIT>",<EOL>numSequencesForCell.values())<EOL>
Metric for number of sequences each predicted => active cell appears in

Note: This metric is flawed when it comes to high-order sequences.

@return (Metric) metric