Spaces:
Running
Running
File size: 3,964 Bytes
40559c4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 |
!(async function(){
var data = await util.getFile('mnist_train.csv')
data.forEach(d => {
delete d['']
d.i = +d.i
})
var sel = d3.select('.umap-digit').html('')
.at({role: 'graphics-document', 'aria-label': `Color coded UMAP of MNIST 1s showing that increasing privacy will misclassify slanted and serif “1” digits first.`})
var umapSel = sel.append('div')
.append('div.chart-title').text('Sensitivity to higher privacy levels →')
.parent()
.st({maxWidth: 600, margin: '0 auto', marginBottom: 10})
.append('div')
var buttonSel = sel.append('div.digit-button-container')
.appendMany('div.button', d3.range(10))
.text(d => d)
.on('click', d => drawDigitUmap(d))
drawDigitUmap(1)
async function drawDigitUmap(digit){
buttonSel.classed('active', d => d == digit)
// var umap = await util.getFile(`umap_train_${digit}.npy`)
var umap = await util.getFile(`cns-cache/umap_train_784_${digit}.npy`)
util.getFile(`cns-cache/mnist_train_raw_${digit}.npy`)
var digitData = data
.filter(d => d.y == digit)
.map((d, i) => ({
rawPos: [umap.data[i*2 + 0], umap.data[i*2 + 1]],
priv_order: d.priv_order,
y: d.y,
i: d.i
}))
var c = d3.conventions({
sel: umapSel.html(''),
width: 600,
height: 600,
layers: 'sdc',
margin: {top: 45}
})
var nTicks = 200
c.svg.appendMany('rect', d3.range(nTicks))
.at({
height: 15,
width: 1,
fill: i => d3.interpolatePlasma(i/nTicks),
})
.translate(i => [c.width/2 - nTicks/2 - 20 + i, -c.margin.top + 5])
c.x.domain(d3.extent(digitData, d => d.rawPos[0]))
c.y.domain(d3.extent(digitData, d => d.rawPos[1]))//.range([0, c.height])
digitData.forEach(d => d.pos = [c.x(d.rawPos[0]), c.y(d.rawPos[1])])
c.sel.select('canvas').st({pointerEvents: 'none'})
var divSel = c.layers[1].st({pointerEvents: 'none'})
var ctx = c.layers[2]
digitData.forEach(d => {
ctx.beginPath()
ctx.fillStyle = d3.interpolatePlasma(1 - d.priv_order/60000)
ctx.rect(d.pos[0], d.pos[1], 2, 2)
ctx.fill()
})
var p = 10
c.svg
.append('rect').at({width: c.width + p*2, height: c.height + p*2, x: -p, y: -p})
.parent()
.call(d3.attachTooltip)
.on('mousemove', function(){
var [px, py] = d3.mouse(this)
var minPoint = _.minBy(digitData, d => {
var dx = d.pos[0] - px
var dy = d.pos[1] - py
return dx*dx + dy*dy
})
var s = 4
var c = d3.conventions({
sel: ttSel.html('').append('div'),
width: 4*28,
height: 4*28,
layers: 'cs',
margin: {top: 0, left: 0, right: 0, bottom: 0}
})
// <div>Label: ${minPoint.y}</div>
// ttSel.append('div').html(`
// <div>Privacy Rank ${d3.format(',')(minPoint.priv_order)}</div>
// `)
ttSel.classed('tooltip-footnote', 0).st({width: 112})
util.drawDigit(c.layers[0], +minPoint.i, s)
})
if (digit == 1){
var circleDigits = [
{r: 40, index: 1188},
{r: 53, index: 18698},
{r: 40, index: 1662}
]
circleDigits.forEach(d => {
d.pos = digitData.filter(e => e.priv_order == d.index)[0].pos
})
c.svg.append('g')
.appendMany('g', circleDigits)
.translate(d => d.pos)
.append('circle')
.at({r: d => d.r, fill: 'none', stroke: '#fff', strokeDasharray: '2 3', strokeWidth: 1})
var {r, pos} = circleDigits[0]
divSel
.append('div').translate(pos)
.append('div').translate([r + 20, -r + 10])
.st({width: 150, fontWeight: 300, fontSize: 14, color: '#fff', xbackground: 'rgba(255,0,0,.2)', lineHeight: '1.2em'})
.text('Increasing privacy will misclassify slanted and serif “1” digits first')
}
}
})()
|