Consider a .multiplyExistingScoreBy(5) for ML tuning

[erikrose]

Obviously, that name is ridiculously unwieldy, but the need stands. We'll want to scale the emitted score of a rule by a constant, automatically, while training (and perhaps in the final, tuned ruleset). Right now, this could be done by interposing a type, but it will probably prove pragmatic to let us do it more concisely. We could either add this complication to the runtime or let the compilation pass interpose a made-up type implicitly.

[erikrose]

weight and andScore are name contenders.

[erikrose]

We don't need it! By using a JS-native optimization algorithm like https://github.com/iaroslav-ai/optimization-js, we can basically just wrap a for loop around the ruleset and use native JS variables to add coefficients wherever we want them. Sometimes it's nice to be embedded in a host language. :-)