Robert Plummer robertleeplummerjr

Crude implementation of ACO in D3js, based on the awesome work of Joel Wenzel et al.

Leaflet and WebGL sample rendering 80T points for more info read blog post

inspired by this and by very nice WebGL tutorial here

	// CAUTION / / / CAUTION / / / CAUTION / / / CAUTION / / / CAUTION / / / CAUTION / / / CAUTION / / /
	// Notice the for loops have a hardcoded values for how far they can go (32)
	// This is a result of WEBGL not allowing while loops. Change the value to what you find appropriate!
	// CAUTION / / / CAUTION / / / CAUTION / / / CAUTION / / / CAUTION / / / CAUTION / / / CAUTION / / /
	//
	// Hopefully this gives you the format for making your own operators such as XOR, NAND, etc.
	//
	// Adapted from this thread:
	// https://scratch.mit.edu/discuss/topic/97026/

	{
	"name":"dark-style-from-vs-2015",
	"version":"1.0",
	"description":"Imported color scheme",
	"originator":"Imported from /Users/rdavis/Library/XamarinStudio-5.0/HighlightingSchemes/dark-style-from-vs-2015.vssettings",
	"colors":[
	{"name": "Background(Read Only)", "color":"#1E1E1E" },
	{"name": "Search result background", "color":"#005F60" },
	{"name": "Search result background (highlighted)", "color":"#007F80" },
	{"name": "Fold Square", "color":"#A5A5A5" },

	def mean_reciprocal_rank(X, Y, indices, metric='hamming'):
	''' Computes the mean reciprocal rank of the correct match
	Assumes that X[n] should be closest to Y[n]
	Default uses hamming distance
	:parameters:
	- X : np.ndarray, shape=(n_examples, n_features)
	Data matrix in X modality
	- Y : np.ndarray, shape=(n_examples, n_features)
	Data matrix in Y modality
	- indices : np.ndarray

	#!/bin/bash

	sudo apt-get install build-essential automake checkinstall intltool git
	sudo apt-get install mono-complete mono-addins-utils gtk-sharp2 gnome-sharp2

	git clone git://github.com/mono/monodevelop
	cd monodevelop
	git checkout monodevelop-4.0
	git submodule update --init --recursive
	./configure