Public
Edited
Jun 23, 2023
tf = import('https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@4.8.0/+esm')
use = require("@tensorflow-models/universal-sentence-encoder")
use_model = use.load()
t1=use_model.embed("farmer")
e1=t1.dataSync()
e2 = (await use_model.embed("chemistry professor")).dataSync()
a1=['11-1011','11-2011']
e3 = (await use_model.embed(["farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor","farmer","chemistry professor"])).arraySync()
Plotly = require("https://cdn.plot.ly/plotly-latest.min.js")
{
let trace1 = {
x: [ ...Array(512).keys() ],
y: e1,
name: 'farmer',
mode: 'markers',
type: 'scatter'
}
let trace2 = {
x: [ ...Array(512).keys() ],
y: e2,
name: 'chemistry professor',
mode: 'markers',
type: 'scatter'
}
const div = DOM.element('div');
Plotly.newPlot(div,[trace1,trace2])
return div
}
e1.reduce( (pv,cv) => pv +cv*cv,0 )
e2.reduce( (pv,cv) => pv +cv*cv,0 )
data = {
let dta = await fetch("https://danielruss.github.io/codingsystems/soc_2010_6digit.json").then((response) => response.json())
dta.pop()
dta = dta.map( x => x.code )
dta.forEach( (x,indx) => dta[x]=indx )
return dta
}
{
const div = DOM.element('div');
div.innerText=`${data["11-1031"]}: ${data[ data["11-1031"]]}`
return div
}
function embed_with_use()
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
