OK thanks for getting back to me! Looking forward to the update whenever it
may come.
Best,
John
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Hi,
Thanks for the bug report and minimal working example.
Could you please open an issue in gitlab so this can be tracked and fixed?
The mailing list is not the best place for this.
Best,
Tiago
Am 25.08.20 um 18:43 schrieb fitzgeraldj:
> Hi there,
>
> Layered overlapping models aren't
Hi there,
Layered overlapping models aren't working for GraphViews, due to the
following problematic lines in LayeredBlockState:
if overlap and self.ec is not None:
self.base_ec = self.base_g.own_property(ec.copy())
ec = agg_state.eindex.copy()
pmap(ec,
Am 25.08.20 um 00:28 schrieb sam:
> wondering if Tiago or anyone else on the list can suggest any
> transformation-distribution combination that might help. i tried (without
> thinking too deeply) the transformation weight = log(weight) + 1 with
> real-geometric weights, but
Am 18.08.20 um 01:41 schrieb fitzgeraldj:
> 1) How do you access parameters inferred for independent models on separate
> layers, say for reproducing Figure 5(b) from the paper? Unless you're just
> masking the graph and only drawing edges applicable to each layer?
I don't understand the
