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Adds a ScaledLogLikelihood class that composes a PyBOP LogLikelihood class and scales the log likelihood by the number of observations, i.e. $\hat{L} = \frac{L}{N}$ for improved search-space numerics and default hyper-parameter values for the gradient-based optimisers.
Motivation
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Possible implementation
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Additional context
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The text was updated successfully, but these errors were encountered:
Feature description
Adds a$\hat{L} = \frac{L}{N}$ for improved search-space numerics and default hyper-parameter values for the gradient-based optimisers.
ScaledLogLikelihood
class that composes a PyBOP LogLikelihood class and scales the log likelihood by the number of observations, i.e.Motivation
No response
Possible implementation
No response
Additional context
No response
The text was updated successfully, but these errors were encountered: