joskid’s gists

joskid / simplegeo-plancast.py

Created July 29, 2011 23:27 — forked from mager/simplegeo-plancast.py

Parse plancast firehose and import to SimpleGeo Storage

	import json, requests, simplegeo
	from simplegeo.models import Record

	client = simplegeo.Client('your-key', 'your-secret')

	firehose = 'http://api.plancast.com/02/plans/firehose.json?extensions=place'
	resp = requests.get(url=firehose)
	data = json.load(resp)

	plans = data['plans']

joskid / gist:1121795

Created August 3, 2011 02:44 — forked from jacobian/gist:336445

Installing GeoDjango deps on Ubuntu 9.10

	### Install some packages. Ignore the errors.

	aptitude install binutils libgdal1-1.5.0 postgresql-8.3-postgis postgresql-server-dev-8.3 python-psycopg2 python-setuptools

	### Make connecting to postgres easier

	echo "local all all trust" > /etc/postgresql/8.3/main/pg_hba.conf
	invoke-rc.d postgresql-8.3 reload

	### Become the Postgres user to create a spatial template database:

joskid / ajaxgoogle.py

Created October 12, 2011 12:33 — forked from brendano/ajaxgoogle.py

http://anyall.org/blog/2008/11/python-bindings-to-googles-ajax-search-api/

	"""ajaxgoogle.py - Simple bindings to the AJAX Google Search API
	(Just the JSON-over-HTTP bit of it, nothing to do with AJAX per se)
	http://code.google.com/apis/ajaxsearch/documentation/reference.html#_intro_fonje
	brendan o'connor - gist.github.com/28405 - anyall.org"""
	try:
	import json
	except ImportError:
	import simplejson as json

	import urllib, urllib2

joskid / example.hmm

Created November 2, 2011 06:00 — forked from djsutherland/example.hmm

Code for a Hidden Markov Model, along with some sample data / parameters for testing.

	4 # number of states
	START
	COLD
	HOT
	END

	3 # size of vocab
	1
	2
	3

joskid / gist:1625131

Created January 17, 2012 06:19 — forked from jamescasbon/template.py

Pure python templates using with statement

	"""
	A really stupid python template language inspired by coffeekup, markaby.
	Do not use this code, it will ruin your day. A byproduct of insomnia.

	TL;DR
	-----

	This module defines a template language that allows us to do:

	d = Doc()

joskid / gist:1658620

Created January 22, 2012 20:15 — forked from greeness/gist:1420935

tutorial ml codes

General

Tutorials on topics in machine learning

Hashing Searching Sketching.

Parallel Machine Learning

http://graphlab.org/

AdaBoost

joskid / perceptron.py

Created January 22, 2012 21:21 — forked from mblondel/perceptron.py

Kernel Perceptron

	# Mathieu Blondel, October 2010

	import numpy as np
	from numpy import linalg

	def linear_kernel(x1, x2):
	return np.dot(x1, x2)

	def polynomial_kernel(x, y, p=3):
	return (1 + np.dot(x, y)) ** p

joskid / benchmark.m

Created February 13, 2012 17:10 — forked from brusic/benchmark.m

Benchmark code

	// define inside file timetest.m
	function blank = timetest(x, y, MAX_ITR)
	m = length(y);
	x = [ones(m, 1) x];
	theta = zeros(size(x(1,:)))'; % initialize fitting parameters
	alpha = 0.07;

	for num_iterations = 1:MAX_ITR
	grad = (1/m).* x' * ((x * theta) - y);
	theta = theta - alpha .* grad;

joskid / jquery.ba-tinypubsub.js

Created February 18, 2012 00:30 — forked from cowboy/HEY-YOU.md

jQuery Tiny Pub/Sub: A really, really, REALLY tiny pub/sub implementation for jQuery.

	/* jQuery Tiny Pub/Sub - v0.7 - 10/27/2011
	* http://benalman.com/
	* Copyright (c) 2011 "Cowboy" Ben Alman; Licensed MIT, GPL */

	(function($) {

	var o = $({});

	$.subscribe = function() {
	o.on.apply(o, arguments);

joskid / lda_gibbs.py

Created February 29, 2012 15:58 — forked from mblondel/lda_gibbs.py

Latent Dirichlet Allocation with Gibbs sampler

	"""
	(C) Mathieu Blondel - 2010

	Implementation of the collapsed Gibbs sampler for
	Latent Dirichlet Allocation, as described in

	Finding scientifc topics (Griffiths and Steyvers)
	"""

	import numpy as np

Joe joskid

General

Parallel Machine Learning

AdaBoost