Closed cg09 closed 2 years ago
Clark's final sentence, which he forgot to include, is "What does this mean?"
This option looks for pairs of interventional variables (currently only discrete variables) that are deterministic and merges them into one combined variable. For domain variables that are fully determinised, we'll add an attribute to them. Later in the knowledge box (Edges and Tiers), all the interventional variables (both status and value variables) and the fully determinised domain variables will be automatically put to top tier. And all other domain variables will be placed in the second tier.
I take it the first sentence is OK--the idea here is just to merge deterministic interventional variables. The word "determinised" isn't an English word; perhaps the idea could be written out as follows. Once all of the deterministic variables are properly merged, you end up with a new list of variables. Each of the original interventional variables is mapped to exactly one of the new variables.
Knowledge is then created where the first tier consists of interventional variables after the deterministic merging has taken place.
I don't know what status and value variables are.
@espinoj @bja43 Help?
I have no idea what it means to "merge" two variables. So I still don't understand the passage.
On Tue, Apr 16, 2019 at 5:08 PM Joseph Ramsey notifications@github.com wrote:
I take it the first sentence is OK--the idea here is just to merge deterministic interventional variables. The word "determinised" isn't an English word; perhaps the idea could be written out as follows. Once all of the deterministic variables are properly merged, you end up with a new list of variables. Each of the original interventional variables is mapped to exactly one of the new variables.
Knowledge is then created where the first tier consists of interventional variables after the deterministic merging has taken place.
I don't know what status and value variables are.
@espinoj https://github.com/espinoj @bja43 https://github.com/bja43 Help?
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Merge Deterministic Interventional Variables This option looks for pairs of interventional variables (currently only discrete variables) that are deterministic and merges them into one combined variable. For domain variables that are fully determinised, we'll add an attribute to them. Later in the knowledge box (Edges and Tiers), all the interventional variables (both status and value variables) and the fully-determinised domain variables will be automatically put to top tier. And all other domain variables will be placed in the second tier.
That's what I wrote. Please correct if there's any typos. In the above section titled "Handling Tabular Data With Interventions", it explains the interventional status and value variables.
I think @bja43 can probably explain the determinism in a much better way than what I can.
@espinoj said he'll edit the text.
@espinoj I think this was done but I'm not sure.
This was done. -Joe
Help! Someone (neither Madelyn nor I) has inserted the following text in the "Merge Datasets" Madelyn will graciously comment with the text.