examples/sp/sp_tutorial.py
def percentOverlap(x1, x2, size):
  """
  Computes the percentage of overlap between vectors x1 and x2.

  @param x1   (array) binary vector
  @param x2   (array) binary vector
  @param size (int)   length of binary vectors

  @return percentOverlap (float) percentage overlap between x1 and x2
  """
  nonZeroX1 = np.count_nonzero(x1)
  nonZeroX2 = np.count_nonzero(x2)
  minX1X2 = min(nonZeroX1, nonZeroX2)
  percentOverlap = 0
  if minX1X2 > 0:
    percentOverlap = float(np.dot(x1, x2))/float(minX1X2)
  return percentOverlap
def percentOverlap(x1, x2, size):
  """
  Computes the percentage of overlap between vectors x1 and x2.

  @param x1   (array) binary vector
  @param x2   (array) binary vector
  @param size (int)   length of binary vectors

  @return percentOverlap (float) percentage overlap between x1 and x2
  """
  nonZeroX1 = np.count_nonzero(x1)
  nonZeroX2 = np.count_nonzero(x2)
  minX1X2 = min(nonZeroX1, nonZeroX2)
  percentOverlap = 0
  if minX1X2 > 0:
    percentOverlap = float(np.dot(x1, x2))/float(minX1X2)
  return percentOverlap
def percentOverlap ( x1 , x2 , size ) : nonZeroX1 = np . count_nonzero ( x1 ) nonZeroX2 = np . count_nonzero ( x2 ) minX1X2 = min ( nonZeroX1 , nonZeroX2 ) percentOverlap = 0 if minX1X2 > 0 : percentOverlap = float ( np . dot ( x1 , x2 ) ) / float ( minX1X2 ) return percentOverlap
Computes the percentage of overlap between vectors x1 and x2.

  @param x1   (array) binary vector
  @param x2   (array) binary vector
  @param size (int)   length of binary vectors

  @return percentOverlap (float) percentage overlap between x1 and x2
Computes the percentage of overlap between vectors x1 and x2 .