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E.g. ( 0, 1, 2 ) => int i; assigns 2 to i, but leaves 0 and 1 pushed on the stack.
Specifically, if a term τ is a constant, dI,f is the individual in D that I assigns to τ.
Then f is an isomorphism from M to a structure whose universe is the disjoint union of a set A and its power set P(A) and which assigns A to I, assigns P(A) to S, and assigns the membership relation ∈ to E. So roughly speaking, σ defines the power-set operation "to within isomorphism".
Briefly, according to Khasawneh et al. [25] for each response Y i (x), a desirability function d i ( y i ) assigns numbers between 0 and 1 to the possible values of y i, with d i ( y i ) = 0 representing a completely undesirable value of y i and d i ( y i ) = 1 representing a completely desirable or ideal response value.
Then to express the idea that S is the power set of I we can use the conjunction (call it σ) of the following four sentences: Clearly σ is true in any structure whose universe is the disjoint union of a set A and its power set P(A) and which assigns A to I, assigns P(A) to S, and assigns the membership relation ∈ to E. Conversely, let M be any model of σ (in the standard semantics).
Let H be a predictor for a survival outcome, which, for an individual i, assigns a score h i based on this individual's covariates (x i).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com