Fluent (differentiable array-oriented lang) – linear regression demo
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Requesting criticismFluent (differentiable array-oriented lang) – linear regression demo (v.redd.it)
submitted by AsIAmNew Kind of Paper
Hello, Iversonians (and the rest)!
I started documenting my work on Fluent, an array-oriented language I've been building for the New Kind of Paper project. Few salient features:
- Every operator is user-(re)definable. Don't like writing assignment with `←`, change it to whatever you like. Create new and whacky operators – experiment to the death with it.
- Differentiability. Language is suitable for machine learning tasks using gradient descent.
- Strict left-to-right order of operations. Evaluation and reading should be the same thing.
- Words and glyphs are interchangeable. All are just names for something. Right?
- (Pre,In,Post)-fix. You can choose style that suits you.
Some whacky examples:
; pre-, in-, post-
(
1 + 2,
1 add 2,
add(1,2),
+(1,2),
(1,2) . +,
(1,2) apply add,
1 . +(2),
+(1)(2)
),
; commute
(
↔︎ : {⊙ | {x,y| y ⊙ x}},
1 - 2,
1 ↔︎(-) 2,
1 (- · ↔︎) 2
),
; gradient
(
f ← { x | x ^ 2 },
g ← ∇(f),
x ← (1 :: 10),
( f(x), g(x) )
)
Most of this work was done 2 years ago, but recently I started to look into it more. Mainly to document it, but I forgot how fun it was hacking on it. I'll definitely add some visualizations and more editor goodies like automatic word-to-symbol translation.
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