setup planning for the whole thing
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parent
e721d106fe
commit
cc78f7f75f
1 changed files with 38 additions and 11 deletions
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@ -49,6 +49,7 @@
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let left = -9
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let mid = 0
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let right = 7
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let arr_col = rgb("#00a6d6").lighten(70%)
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content((left, 6), [Inputs])
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content((mid, 6), [Process])
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@ -63,9 +64,33 @@
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content((left, -3), text(fill: red)[Noise Treshold])
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content((left, -4), text(fill: red)[Max Parameters])
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line(
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(-5.6, 0),
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(-2.1, 0),
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stroke: (
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thickness: 8pt,
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paint: arr_col,
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cap: "round",
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),
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mark: (end: "stealth", scale: 8, fill: arr_col),
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)
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content((0,0), [test])
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rect(cetz.vector.add((mid, 0), (-2, -2)), cetz.vector.add((mid, 0), (2, 2)), radius: (rest: .4), fill: rgb("#00b3dc"))
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content((mid, 0), text(size: 4em)[?])
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line(
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(2.4, 0),
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(6.0, 0),
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stroke: (
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thickness: 8pt,
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paint: arr_col,
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cap: "round",
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),
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mark: (end: "stealth", scale: 8, fill: arr_col),
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)
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content((right, 3), [QML Kernels], anchor: "west")
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content(cetz.vector.add((right, 2), (1, 0)), anchor: "west", [Balanced])
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content(cetz.vector.add((right, 1), (1, 0)), anchor: "west", text(fill: red)[Best Expressibility])
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@ -84,7 +109,7 @@
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- #text(fill: red)[Noise Treshold]
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- #text(fill: red)[Max Parameters]
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- Possible Methods used for problem specific impls already
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- Possible Methods (not complete)
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- Monte-Carlo Tree-Search
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- Machine Learning (many options)
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- Bayesian Optimization
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@ -96,7 +121,7 @@
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#let chev(start, len, f: none) = {
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import cetz.draw: *
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line(fill: f,
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cetz.vector.add(start,(-1 , -1))
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cetz.vector.add(start,(-1, -1))
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, cetz.vector.add(start, (len - 1, -1))
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, cetz.vector.add(start,(len, 0))
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, cetz.vector.add(start, (len - 1, 1))
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@ -113,32 +138,34 @@
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== Planning
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#slide[
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#cetz-canvas({
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#cetz-canvas(length: 0.8cm, {
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import cetz.draw: *
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let lower = -10
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content((today-offset, 0), anchor: "south", [today])
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line((today-offset, -0.5), (today-offset, -5), stroke: (paint: rgb("#ff00cc")))
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line((today-offset, -0.5), (today-offset, lower), stroke: (paint: rgb("#ff00cc")))
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for x in (0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24) {
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content((x, 0), text(size: 12pt)[#(datetime(day: 10, month: 11, year: 2025) + duration(weeks: x)).display("[day]/[month]")], anchor: "north")
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line(stroke: (paint: lime, dash: "dashed"), (x, -0.5), (x,-5))
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content((x, 0), text(size: 0.4em)[#(datetime(day: 10, month: 11, year: 2025) + duration(weeks: x)).display("[day]/[month]")], anchor: "north")
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line(stroke: (paint: lime, dash: "dashed"), (x, -0.5), (x,lower))
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}
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// yellow = literature
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// green = planning
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// blue = free
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// red = make thing
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line((5.5, -0.5), (5.5, -5), stroke: (paint: rgb("#ff00cc")))
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content((5.0, -5.1), anchor: "north", "Introduction")
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line((5.5, -0.5), (5.5, lower), stroke: (paint: rgb("#ff00cc")))
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content((5.0, lower - 0.1), anchor: "north", "Introduction")
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line((14.5, -0.5), (14.5, -5), stroke: (paint: rgb("#ff00cc")))
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content((14, -5.1), anchor: "north", "Midterm")
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line((14.5, -0.5), (14.5, lower), stroke: (paint: rgb("#ff00cc")))
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content((14, lower - 0.1), anchor: "north", "Midterm")
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chev((0.6,-2), 6.6, f: lg(yellow, yellow.darken(10%)))
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chev((6.2,-2), 1.0, f: gradient.linear(green, rgb(0,0,0,0), angle: 60deg).sharp(3).repeat(6))
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content((1.1,-2), anchor: "west", "Literature")
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chev((7, -2), 2, f: lg(blue.lighten(20%), blue.lighten(5%)))
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content((7, -3.5), anchor: "north", "Holiday")
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content((7.5, -3.5), anchor: "north", "Holiday")
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chev((9, -2), 6, f: lg(red, red.darken(10%)))
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content((10, -2), anchor: "west", "Make V1")
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