dalelane

var http = require('http');

http.createServer(function (req, res) {
    res.writeHead(200, {'Content-Type': 'text/plain'});
    res.end('Hello World\n');
}).listen(1337, '127.0.0.1');

console.log('Server running at http://127.0.0.1:1337/');

dalelane

var sqlite3 = require('sqlite3').verbose();
var db = new sqlite3.Database('data/demodb01');

db.serialize(function() {
    db.run("CREATE TABLE IF NOT EXISTS demo (runtime REAL)");

    db.run("INSERT INTO demo (runtime) VALUES (?)", new Date().getTime());

    db.each("SELECT runtime FROM demo", function(err, row) {
        console.log("This app was run at " + row.runtime);

dalelane

var express = require('express');
var app = express();

console.log("Registering endpoint: /");
app.get('/', function(req, res){
    res.send('hello ROOT world');
});

console.log("Registering endpoint: /stubbed");
app.get('/stubbed', function(req, res){

dalelane

package sandbox;

import java.io.ByteArrayInputStream;
import java.io.InputStream;

import javax.xml.bind.JAXBContext;
import javax.xml.bind.JAXBElement;
import javax.xml.bind.Unmarshaller;
import javax.xml.bind.annotation.XmlAttribute;
import javax.xml.bind.annotation.XmlRootElement;

dalelane

Keybase proof

I hereby claim:

• I am dalelane on github.
• I am dalelane (https://keybase.io/dalelane) on keybase.
• I have a public key whose fingerprint is 0950 6D8F 8321 BEC7 CD01 8CF5 4872 0994 FE4A ECD8

To claim this, I am signing this object:

dalelane

# Converting roman numerals into numbers
#
#   A homework helper by Dale and Grace Lane
#          1-Nov-2014
#   
#    http://dalelane.co.uk/blog/?p=3244


#
# some simple helper functions to make 

dalelane

{ entities:
   [ { type: 'PERSON',
       class: 'SPC',
       level: 'NAM',
       mentions:
        [ { mtype: 'NAM',
            role: 'PERSON',
            class: 'SPC',
            text: 'Dale Lane',
            location: { begin: 0, end: 8, 'head-begin': 0, 'head-end': 8 } },

dalelane

/**
 * Downloads the contents of a news story, then use the 
 *   Watson Relationship Extraction service to identify
 *   the names of all the people mentioned in the story.
 *
 * @author Dale Lane
 */

var async = require('async');
var unfluff = require('unfluff');

dalelane

# Get these from Bluemix and set as environment variables
#    $BLUEMIX_WATSON_MACHTRANS_USER
#    $BLUEMIX_WATSON_MACHTRANS_PASS
#    $BLUEMIX_WATSON_MACHTRANS_URL

export FORMAT="rt=text"  # or json or xml

export LANG_FROM="enus"
export LANG_TO="frfr"

dalelane

@rnn_dalelane

Inspired by https://medium.com/@samim/obama-rnn-machine-generated-political-speeches-c8abd18a2ea0 I tried training a recurrent neural network (RNN) for myself.

I exported every tweet I've ever posted as @dalelane, and used that as the training text. The idea was to see whether it would generate new tweets that looked like they could be things that I had written.

This is just a first quick attempt, with no attempts to tweak or tune the generation of the training model, or modify any other settings.

This is the kind of thing it's currently outputting:

---