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I would like to reconsider the flexible hierarchization framework we developed last time
instead, I would like to propose to explicitly bind parameter(s) to layers, each parameter belongs to a layer, each layer may have multiple parameters (1-n)
let's say we have a simulation function
defsim(x, y, z):
...
Then I could write
xp=Experiment(sim, inputgen={'x': ...})
to bind x and leave y and z unbound for upper layers
the package automatically detects that only x is bound
it also inspects the generator and if it takes additionally arguments such as y or z, it automagically supplies the values to it at runtime
The text was updated successfully, but these errors were encountered:
for example, the number of realizations / initial conditions to generate etc.
andsor
changed the title
Provide a clear interface that explicitly binds each parameter to one layer (n-1)
Provide a clear interface that explicitly binds each parameter to one layer (many-to-one)
Apr 23, 2016
I would like to reconsider the flexible hierarchization framework we developed last time
instead, I would like to propose to explicitly bind parameter(s) to layers, each parameter belongs to a layer, each layer may have multiple parameters (1-n)
let's say we have a simulation function
Then I could write
to bind x and leave y and z unbound for upper layers
the package automatically detects that only x is bound
it also inspects the generator and if it takes additionally arguments such as y or z, it automagically supplies the values to it at runtime
The text was updated successfully, but these errors were encountered: