https://github.com/GPflow/GPflow
Revision 6e43fecb3942b98dfc6da24237662da40deb54f1 authored by st-- on 22 October 2019, 16:54:27 UTC, committed by GitHub on 22 October 2019, 16:54:27 UTC
Changes behaviour of step_callback so that the callback only gets called once per optimisation step, not once per objective function evaluation. Makes gpflow2's Scipy() behave more like gpflow1's ScipyOptimizer()/monitoring. * Call step_callback through scipy.minimize's callback procedure (at the end of each step); previous behaviour was to call step_callback at each evaluation of objective function * split off from unpack_tensors (now stateless) the new assign_tensors (assigns to variables) * change callback_func to pass variables and their current values to step_callback, not assigning/computing loss/gradients * fix type signature * Improve docstring
1 parent a186ca5
Tip revision: 6e43fecb3942b98dfc6da24237662da40deb54f1 authored by st-- on 22 October 2019, 16:54:27 UTC
Change step_callback behaviour of Scipy optimizer in gpflow2 to behave as in gpflow1 (#1111)
Change step_callback behaviour of Scipy optimizer in gpflow2 to behave as in gpflow1 (#1111)
Tip revision: 6e43fec
File | Mode | Size |
---|---|---|
conditionals | ||
config | ||
covariances | ||
expectations | ||
inducing_variables | ||
kernels | ||
likelihoods | ||
models | ||
optimizers | ||
utilities | ||
__init__.py | -rw-r--r-- | 960 bytes |
base.py | -rw-r--r-- | 6.8 KB |
ci_utils.py | -rw-r--r-- | 964 bytes |
kullback_leiblers.py | -rw-r--r-- | 4.7 KB |
logdensities.py | -rw-r--r-- | 3.0 KB |
mean_functions.py | -rw-r--r-- | 5.8 KB |
probability_distributions.py | -rw-r--r-- | 1.7 KB |
quadrature.py | -rw-r--r-- | 7.7 KB |
versions.py | -rw-r--r-- | 177 bytes |
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