/Clustering4Ever-Notebooks

Examples using Clustering4Ever library

Primary LanguageJupyter NotebookApache License 2.0Apache-2.0

C4E-Notebooks

Here are gathred SparkNotebook exposing example of use from Clustering4Ever library.

Install spark-notebook in your PC

Interactive and Reactive Data Science using Scala and Spark provided by kensu.io

Optional

  • If it is necessary, install virtual box with Ubuntu or Debian. Before starting the virtual machine to make sure to increase the memory and the number of processors
  • Install Java -> sudo apt-get install default-jre

Download the latest version on : http://spark-notebook.io/

  • Step 1> You must enter your email, so a download link will be sent to you (master version)

  • Step 2> unzip Title.zip

  • Step 3> cd Title

  • Step 4> ./bin/spark-notebook
    Some times you need before to run chmod +x ./bin/spark-notebook

  • Step 5> Open the web browser and launch this address : http://localhost:9001 or http://localhost:9000

  • Step 6> import "snb" or "snb.ipynb" file using your browser

Some examples are avalaible via this link: https://github.com/Spark-clustering-notebook/Clustering4Ever-Notebooks/tree/master/SparkNotebooks

To learn about Scala you can download JustEnoughScala.ipynb (provided by Kensu.io)

Additional informations

  • To change port number if it is necessary (/bin/spark-notebook -Dhttp.port=8888)

  • Edit Notebook Metadata if you want to add/modify API version

    Example : add smile API "customDeps": [ "com.github.haifengl:smile-scala_2.11:1.4.0" ],

    You have to restart the kernel. You must be connected to the internet

Support

Scala Courses

Some Links

Citation

If you publish material based on informations obtained from this repository, then, in your acknowledgements, please note the assistance you received by using this community work. This will help others to obtain the same informations and replicate your experiments, because having results is cool but being able to compare to others is better. Citation: @misc{C4E, url = “https://github.com/Clustering4Ever/Clustering4Ever“, institution = “Paris 13 University, LIPN UMR CNRS 7030”}