epugh

package com.o19s.http;

import java.io.IOException;
import java.security.cert.CertificateException;
import java.security.cert.X509Certificate;

import javax.net.ssl.SSLContext;
import javax.net.ssl.SSLException;
import javax.net.ssl.SSLSession;
import javax.net.ssl.SSLSocket;

ngauthier

#!/usr/bin/env ruby
# From: http://ngauthier.com/2014/06/scraping-the-web-with-ruby.html

require 'capybara'
require 'capybara/poltergeist'
require 'csv'
require 'gdbm'

class NickBot
  include Capybara::DSL

ralph-tice

    -verbose:gc \
    -XX:+PrintGCDetails \
    -XX:+PrintGCDateStamps \
    -XX:+PrintGCTimeStamps \
    -XX:+PrintHeapAtGC \
    -XX:+PrintTenuringDistribution \
    -XX:+PrintGCApplicationStoppedTime \
    -XX:+PrintGCApplicationConcurrentTime \
    -XX:+UseGCLogFileRotation \
    -XX:NumberOfGCLogFiles=5 \

cb372

Install the essentials.

$ brew update && brew install elasticsearch && brew install apache-spark

Start ES.

$ elasticsearch

sstults

#!/usr/bin/env python -x

import pysolr
import sys

from nltk.corpus import wordnet as wn


class Indexer:
    """

epugh

The below steps all assume you have installed Docker. I used the Kitematic tool for OSX, and it worked great. Everything is mapped to your "localhost" domain name.

1. Let's Set up Zeppelin

   I am using this Docker image https://github.com/dylanmei/docker-zeppelin to fire up Zeppelin and Spark. Note, it's slow cause there is so many processes (Spark Master, Spark Worker, Zeppelin) to start! This is now up to Zeppelin 0.7.0

   docker run -d --name zeppelin -p 8080:8080 dylanmei/zeppelin
   

tteofili

package com.github.tteofili.looseen.dl4j;

import org.apache.lucene.index.IndexReader;
import org.apache.lucene.search.similarities.BasicStats;
import org.apache.lucene.search.similarities.SimilarityBase;
import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
import org.nd4j.linalg.api.buffer.FloatBuffer;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;