The avatar for @grantcuster
Grant Custer
Design and coding @fastforwardlabs. Lately interested in grids. Continually interested in simulations. He/him.
Published
Edited
Mar 13, 2019
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ticking = 1
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allData = {
const redData = tf.randomNormal([NPOINTS, 2], 2, 2)
console.log(redData)
const redLabels = tf.zeros([NPOINTS])
const blueData = tf.randomNormal([NPOINTS, 2], -2, 2)
const blueLabels = tf.ones([NPOINTS])
let flatArray = Array.from(redData.concat(blueData).dataSync())
let trueLabels = Array.from(redLabels.concat(blueLabels).dataSync())
let fullArray = []
for (let i = 0; i < flatArray.length; i += 2) {
fullArray.push({
"id": i / 2,
"x": flatArray[i],
"y": flatArray[i+1],
"label": trueLabels[i / 2],
"labelled": false
})
}
return fullArray
}
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unlabelledData = allData.filter(d => labels.indexOf(d["id"]) < 0)
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labelledData = labels.map(index => allData[index])
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xScale = d3.scaleLinear()
.domain([-8,8])
.range([margin.left, size.width - margin.right])
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yScale = d3.scaleLinear()
.domain([-8, 8])
.range([size.height - margin.bottom, margin.top])
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