ExponentialWeights¶
- class frlearn.weights.ExponentialWeights(base: float = 2)[source]¶
(8/15, 4/15, 2/15, 1/15) Exponentially decreasing weights with parametrisable base.
- Parameters
- base: float
Exponential base. Should be larger than 1.
- Returns
- f: int -> np.array
Function that takes a positive integer k and returns a weight vector of length k with exponentially decreasing weights with base b.
Notes
With base 2, weights rapidly approach 0, meaning:
the resulting weight vector is not very useful, and quickly becomes insensitive to increasing k,
using large values for k will produce weights that are so small as to cause computational wonkiness.
These issues are exacerbated for larger bases, so bases only slightly larger than 1 may be most useful.