Daniel Hum danielhum

UPDATE a fork of this gist has been used as a starting point for a community-maintained "awesome" list: machine-learning-with-ruby Please look here for the most up-to-date info!

Resources for Machine Learning in Ruby

Gems

liblinear-ruby: Ruby interface to LIBLINEAR using SWIG

Though slightly more complex, using a CDN is the most performant option for serving static assets. See the [CDN asset host](cdn-asset-host-rails31) article for more details.

Ruby on Rails applications should use Rack::Cache to efficiently serve assets on the Cedar stack. Proper Rack::Cache usage improves response time, decreases load and is important when serving static assets through your application.

This article will summarize the concepts of caching assets using Rack::Cache and walk you through the appropriate configuration of a Rails 3.1 application and the asset pipeline.

Sample code for this article's [reference application](https://github.com/heroku/rack-cache-demo) is available on

	import android.util.SparseArray;
	import android.widget.AbsListView;

	/**
	* Helper class for calculating relative scroll offsets in a ListView or GridView by tracking the
	* position of child views.
	*/
	public class ListViewScrollTracker {
	private AbsListView mListView;
	private SparseArray<Integer> mPositions;

	# == Schema Information
	# you need to add a flag to the model to indicate his processing status
	# it defaults to true:
	#
	# attachment_processing :boolean(1) default(TRUE)
	# ...
	#
	#----------------------------------------------------------------------

	class Thing < ActiveRecord::Base

	# app/models/my_model.rb

	module MyApp
	module Model
	def self.included(base)
	base.send :include, Mongoid::Document
	base.send :include, Mongoid::Timestamps
	base.send :include, ActiveAdmin::Mongoid::Patches
	end
	end