MohamedAlaa

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

erikh

#!/usr/bin/env sh

##
# This is script with usefull tips taken from:
#   https://github.com/mathiasbynens/dotfiles/blob/master/.osx
#
# install it:
#   curl -sL https://raw.github.com/gist/2108403/hack.sh | sh
#

yagays

;; 訓練データ
(def text_classified_p '(["good" "bad" "good" "good"]
                            ["exciting" "exciting"]
                            ["good" "good" "exciting" "boring"]))
(def text_classified_n '(["bad" "boring" "boring" "boring"]
                           ["bad" "good" "bad"]
                           ["bad" "bad" "boring" "exciting"]))

;;多変数ベルヌーイモデル 
(defn train [features]

bigsur0

num_processes = 2                                                                
batch_size = 1000                                                                
threads_per_process = 10                                                         
                                                                                 
Parallel.map(0...num_processes, :in_processes => num_processes) do |i|·          
  User.connection.reconnect!                                                     
  User.find_in_batches(:batch_size => batch_size,·                               
                       :start => (User.count/num_processes) * i,·                
                       :conditions => ["id <= ?", (User.count/num_processes)*(i+1)]) do |batch|·
    Parallel.map(batch, :in_threads => threads_per_process) do |record|          

misshie

# A Ruby implementation of
# the Viterbi algorithm based on the hidden Markov model (HMM)
# 
# An original Python code: a Wikipedia page "Viterbi algorithm" at
# http://en.wikipedia.org/wiki/Viterbi_algorithm
#
# Author: MISHIMA, Hiroyuki
#

require 'pp'

tjogin

Installation

First you need php-cgi, i used brew with Formula below:

$ curl -O https://raw.github.com/gist/1194269/7ae1709453a8a19ce9c030bf41d544dd08d96d85/php.rb
$ mv php.rb `brew --prefix`/Library/Formula
$ brew install php --with-mysql

Second, install this ruby gems:

naryad

package hbase.sandbox;

import java.io.IOException;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.HColumnDescriptor;
import org.apache.hadoop.hbase.HTableDescriptor;
import org.apache.hadoop.hbase.client.HBaseAdmin;

Serabe

require 'matrix'

def regression x, y, degree
  x_data = x.map {|xi| (0..degree).map{|pow| (xi**pow) }}
  mx = Matrix[*x_data]
  my = Matrix.column_vector y

  ((mx.t * mx).inv * mx.t * my).transpose.to_a[0].reverse
end

nz

# http://wiki.apache.org/solr/FAQ#How_can_I_delete_all_documents_from_my_index.3F
# http://wiki.apache.org/solr/UpdateXmlMessages#Updating_a_Data_Record_via_curl

curl "http://index.websolr.com/solr/a0b1c2d3/update?commit=true" -H "Content-Type: text/xml" --data-binary '<delete><query>*:*</query></delete>'

I'm amused at the traction this little gist is getting on Google! I would be remiss not to point out that six+ years later I'm still helping thousands of companies on a daily basis with their search index management, by providing managed Solr as a service over at Websolr, and hosted Elasticsearch at Bonsai. Check us out if you'd like an expert helping hand at Solr and Elasticsearch hosting, ops and support!

erh

coll = db.foo
coll.drop()

coll.insert( { arr : [ { a : 1 } , { b : 2 } , { c : 3 } ] } )
coll.insert( { arr : [ { a : 2 } , { b : 3 } , { c : 1 } ] } )
coll.insert( { arr : [ { a : 3 } , { b : 1 } , { c : 2 } ] } )

coll.ensureIndex( { arr : -1 } )