eh3rrera

import pandas as pd
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import cross_val_predict
from sklearn import metrics
import coremltools


dataset_url = 'http://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data'
names = ['cultivar', 'alcohol', 'malic_acid', 'ash', 'alkalinity_ash', 'magnesium', 'total_phenols', 'flavonoids', 'nonflavonoid_phenols', 'proanthocyanins', 'color intensity', 'hue', 'od280_od315', 'proline']

eh3rrera

/*
  SAMPLE PAYLOAD
  {
    "url": "https://google.com"
  }
*/
// https://gist.github.com/jonleighton/958841
const base64ArrayBuffer = function(arrayBuffer) {
    var base64    = '';
    var encodings = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/';

eh3rrera

import React, { useState } from 'react';
// ...
 
function App() {
  if(1 !== 0) {
    const [count, setCount] = useState(0);
  }
 
  return (
    /* ... */

eh3rrera

const Pusher = require('pusher');

const pusher = new Pusher({
  appId: 'YOUR_PUSHER_APP_',
  key: 'YOUR_PUSHER_APP_KEY',
  secret: 'YOUR_PUSHER_APP_SECRET',
  cluster: 'YOUR_PUSHER_APP_CLUSTER',
  encrypted: true
});

eh3rrera

function (user, context, callback) {
  var Pusher = require('pusher@1.2.1');
  var pusher = new Pusher({
    appId: '<INSERT_YOUR_PUSHER_APP_ID>',
    key: '<INSERT_YOUR_PUSHER_APP_KEY>',
    secret: '<INSERT_YOUR_PUSHER_APP_SECRET>',
    cluster: '<INSERT_YOUR_PUSHER_APP_CLUSTER>',
    encrypted: true
  });
  user.app_metadata = user.app_metadata || {};