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Returns a list of the specified number of neighbors, obtained by linearly interpolating the parameter in position index between the minimum and maximum values allowed by ranges. Examples: >>> Neighbor.uniform_spread([(0,10), (40,50)], [5, 45], 0, number=3) [[0.0, 45], [5.0, 45], [10.0, 45]] >>> Neighbor.uniform_spread([(0,10), (40,50)], [5, 45], 1, number=3) [[5, 40.0], [5, 45.0], [5, 50.0]](more...)
@staticmethod
def uniform_spread(ranges, parameters, index, number = 10, includeOrig = False):
"""
Returns a list of the specified number of neighbors, obtained
by linearly interpolating the parameter in position index
between the minimum and maximum values allowed by ranges.
Examples:
>>> Neighbor.uniform_spread([(0,10), (40,50)], [5, 45], 0, number=3)
[[0.0, 45], [5.0, 45], [10.0, 45]]
>>> Neighbor.uniform_spread([(0,10), (40,50)], [5, 45], 1, number=3)
[[5, 40.0], [5, 45.0], [5, 50.0]]
>>> Neighbor.uniform_spread([(0,10), (40,50)], [4, 45], 0, number=3, includeOrig=True)
[[0.0, 45], [4, 45], [5.0, 45], [10.0, 45]]
"""
ret = []
includeFinished = False
for ii in range(number):
pp = copy(parameters)
pp[index] = ranges[index][0] + float(ii)/(number-1) * (ranges[index][1] - ranges[index][0])
if includeOrig and not includeFinished and pp[index] > parameters[index]:
# if we've passed the original point, include it here
ret.append(copy(parameters))
includeFinished = True
ret.append(pp)
return ret
self.log_write('RunManager.explore_dimensions: dimension %d' % dimension)
points = Neighbor.uniform_spread(ranges, initialState, dimension, number = pointsPerDim, includeOrig = True)
for ii,point in enumerate(points):