/**
* Return the overlap to connected counts ratio for a given column
*
* @param c
* @param overlaps
* @return
*/
public double[] calculateOverlapPct(Connections c, int[] overlaps) {
return ArrayUtils.divide(overlaps, c.getConnectedCounts().getTrueCounts());
}
/**
* This function determines each column's overlap with the current input vector. The overlap of a
* column is the number of synapses for that column that are connected (permanence value is
* greater than '_synPermConnected') to input bits which are turned on. Overlap values that are
* lower than the 'stimulusThreshold' are ignored. The implementation takes advantage of the
* SpraseBinaryMatrix class to perform this calculation efficiently.
*
* @param c the {@link Connections} memory encapsulation
* @param inputVector an input array of 0's and 1's that comprises the input to the spatial
* pooler.
* @return
*/
public int[] calculateOverlap(Connections c, int[] inputVector) {
int[] overlaps = new int[c.getNumColumns()];
c.getConnectedCounts().rightVecSumAtNZ(inputVector, overlaps, c.getStimulusThreshold());
return overlaps;
}