Published
Edited
Feb 27, 2020
// (viewof num1[0].options.selectedIndex = )
[num1, operator, num2]
mutable currentCanvas='num1'
{
// viewof num1[0].selectedIndex = 5;
// return viewof num1[0];
}
imgFormatter = (name, w = 32, h = 32) => {
const canvas = DOM.canvas(w, h);
const ctx = canvas.getContext('2d');
//// Setting Up ////////////
canvas.className = 'sketch-pad ' + name;
ctx.fillStyle = '#333';
//////////// Function ////
canvas.clear = () => {
ctx.clearRect(0, 0, canvas.width, canvas.height);
};
canvas.copyFrom = img => {
canvas.clear();
ctx.drawImage(img, 0, 0, w, h);
};
return canvas;
}
{
// loadModel();
// return "load model if there is any";
}
viewof num1 = {
const a = select(['0', "1", "2", "3", "4", '5', '6', '7', '8', '9']);
return a;
}
viewof num2 = select(['0',"1", "2", "3", "4",'5','6','7','8','9','0'])
viewof operator = select(["+", "-", "x", "÷"])
tf.tensor([2, 3, 4])
md`### import`
import { button, slider, select } from "@jashkenas/inputs"
tf = require('@tensorflow/tfjs')
knnClassifier = require("https://cdn.jsdelivr.net/npm/@tensorflow-models/knn-classifier")
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.
