gbuesing

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

cnnrhill

  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;

rwdaigle

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

crossblaim

# == 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

ivanyv

# 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