Published
Edited
Jan 17, 2020
md`# Machile Nearning`
data = generateDataSets()
function celsiusToFahrenheit(c) {
const w = 1.8;
const b = 32;
const f = c * w + b;
return f;
};
function generateDataSets() {
const points = [];
for (let x = 0; x < 10; x += 1) {
points.push(
{
x1: Math.random(),
x2: Math.random(),
y1: Math.random(),
y2: Math.random()
}
)
}
return points;
// xTrain -> [0, 1, 2, ...],
// yTrain -> [32, 33.8, 35.6, ...]
const xTrain = [];
const yTrain = [];
for (let x = 0; x < 10; x += 1) {
const y = celsiusToFahrenheit(x);
xTrain.push(x);
yTrain.push(y);
}
// xTest -> [0.5, 1.5, 2.5, ...]
// yTest -> [32.9, 34.7, 36.5, ...]
const xTest = [];
const yTest = [];
// By starting from 0.5 and using the same step of 1 as we have used for training set
// we make sure that test set has different data comparing to training set.
for (let x = 0.5; x < 10; x += 1) {
const y = celsiusToFahrenheit(x);
xTest.push(x);
yTest.push(y);
}
return [xTrain, yTrain, xTest, yTest];
}
vegalite = require("@observablehq/vega-lite@0.1")
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.