Comments (4)
The training set has size batch_size
, so an estimate of the log likelihood of the training set should use N
.
from zhusuan.
OK thanks :) I'm still surprised there is not a N / B
somewhere.
If x
is a batch, log_py_xw
already returns a mean per sample? Should it be mentioned in the docs?
from zhusuan.
As y
in the model isn't defined with non-zero group_ndims
, its log_prob
has shape [n_particles, batch_size]
, and the division by B is performed by the reduced_mean
in L103/104.
The code does seem a bit ambiguous. Maybe we should add some comments, but they are being rewritten in the v4 branch anyway...
from zhusuan.
Thanks, I'll have a look.
from zhusuan.
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