memory issue with new summary approach

[macartan]

the new summary approach generates a lot of large objects, like the parameter matrix and the ambiguity matrix; on the fly. other code avoids the generation of these, making them on a need to know basis

this will be unmanageable with larger models:

> model <- make_model("A -> Y <- B; C-> Y", add_causal_types = FALSE)
> summary <- summary(model)
> object.size(model)
82256 bytes
> object.size(summary)
79637008 bytes

it seems that if a summary is called for then everything gets piled into this objects including all posterior distributions, stan objects and so on

can we revert to generating these only when they are explicitly requested?

[gerasy1987]

@macartan, thanks for pointing this out. I can work on this next week. Do you have a preference for what objects should be in the summary by default beyond what is in the causal_model it is called on?

[macartan]

Thanks Gosha

My instinct would be to keep the minimum as default

There are a lot of big objects Ambiguities, parameter matrix, the distributions

I imagine two approaches

1. Have a small summary and shift code to the grab.inspect function. Feels like going backeards a little
2. Have an include argument in summary that gets passed to print? So summary o my includes extra objects as needed

On Fri 11. Oct 2024 at 18:31, Gosha Syunyaev @.***> wrote:

@macartan https://github.com/macartan, thanks for pointing this out. I can work on this next week. Do you have a preference for what objects should be in the summary by default beyond what is in the causal_model it is called on?

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