Repository
Current version released
4 years ago
dklearn
A Deno Machine Learning Framework
Usage
Linear Regression
import { AdvertisingDataLoader } from './data-loader.ts';
import { LinearRegression } from './linear-regression.ts';
export const runAdvertisingExample = async () => {
const adData = new AdvertisingDataLoader()
let [X_train, y_train] = await adData.loadTrain();
const linReg = new LinearRegression()
let [WOptimized, BOptimized] = linReg.train(X_train, y_train, 15000, 0, 0, 0.001, true)
console.log('----------- Training Completed--------------')
console.log(`Optimized W: ${WOptimized} and Optimized B: ${BOptimized}`);
let radioExpense = 23.0
const predictedSales = linReg.predict(radioExpense, WOptimized, BOptimized);
console.log(`Possible Sales: ${predictedSales}`)
}
runAdvertisingExample()