milankinen

import React from "react"
import {render} from "react-dom"
import Bacon from "baconjs"
import {sum} from "lodash"

import {atom} from "megablob"
import {Combinator} from "megablob/react"


function init() {

milankinen

// require() some stuff from npm (like you were using browserify)
// and then hit Run Code to run it on the right

milankinen

// bundlen entry point
const he = require("he")

const initial = JSON.parse(he.unescape(document.getElementById("state").innerHTML))
console.log(initial)

milankinen

const he = require("he")

const initial = JSON.parse(he.unescape(window.INITIAL_STATE))
console.log(initial)

milankinen

const initial = JSON.parse(app.getAttribute('data-state'))
console.log(initial)

milankinen

/*
 * <ClientOnly>
 *   <MyStuff />
 * </ClientOnly>
 */
export default React.createClass({
  getInitialState() {
    return { allowRender: false }
  },
  componentDidMount() {

milankinen

import React from "react"
import {findDOMNode} from "react-dom"

export default React.createClass({
  componentWillMount() {
    if (process.browser) {
      this.setState({html: findDOMNode(this).innerHTML})
    }
  },
  render() {

milankinen

let i = 0
let main = () => document.querySelector("#app").innerHTML = `Seconds elapsed ${i++}`
main() && setInterval(main, 1000)

milankinen

import React from "react"
import {Subject, Observable} from "rx"
import {render} from "react-dom"
import {Combinator} from "react-combinators/rx"
import {createDispatcher} from "fluorine-lib"


const initialBMI = {weight: 80, height: 180}

function BMI(state, action) {

milankinen

Using Theano backend.
Load data
 > dataset = ../datasets/sample_xs_2.txt
 > words 
   - total    = 3500
   - distinct = 7
 > chars = 14 
 > metadata saved to "./output/meta.json"
Generate matrices
 > dim(X)  = (128, 5, 8, 14)