DAY 4+5: PRELIMINARY SETUP

As I close out the first week of my internship, today’s goals were to deploy HPCC on Docker desktop and install the VS Code ECL Plug-in. I followed a tutorial online, opened the ECL file, and created the launch configuration. To prepare my environment for following the “Containerized HPCC Systems Platform documentation”, I enabled Kubernetes in Docker Desktop. The next step is to follow the Machine Learning GNN tutorial.

The following tasks have been completed:

  • Download Docker Desktop Update → reconfigure settings
  • Check that VS Code is on the latest update
  • Setup VS Code with Python
    • Select interpreter → tensorflow conda
  • Read/follow instructions on Containerized HPCC Systems Platform (MacOS) on local Docker Desktop
  • Deploy HPCC on Docker desktop
  • Read machine learning book
  • Install VS Code ECL Plug-in
  • Install clienttools
  • Install machine learning libraries
  • Workspace settings and configuration
  • Clone code from Hands on Machine Learning Book GitHub
    • Run code on Jupyter
  • Read Chapter 1 in Hands on Machine Learning Book and run corresponding code on Jupyter
  • Search for existing CNN image processing model

DAY 2+3: PRELIMINARY SETUP

To kick-off my project, I created GitHub repositories (HPCC-GNN-Cloud and TensorFlowStudy) and cloned them to my local system. In preparation for the next few days, I found the VS Code ECL Plug-In installation guideline, and the GNN tutorial. With these resources, I will be able to download/set up necessary prerequisites for my project’s platform. I have also obtained the Containerized HPCC Systems Platform documentation guideline that I will follow next week. The main goal for these two days was to lay down the foundational work, which was fulfilled by following tutorials to learn unix and vi commands.

Day 1: Preliminary Setup

Today was the first official start date of my Summer 2021 internship with LexisNexis.

My goals for the day are to deploy HPCC on Docker Desktop, start the Azure Intern Training, complete the Cyber Defense Onboarding Curriculum Training, start the blog, and start reading “Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow”

By the end of the first day, I had completed the following:

• Started the blog

• Obtained sample photo database for augmentation later on

• Accessed Azure Portal tutorial

• Started “Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow”

• Completed the Cyber Defense Onboarding Curriculum Training

Challenges:

Since today’s tasks were very preliminary, I did not encounter any urgent challenges. My slight concern is that the sample photo database I have obtained will not be large enough, but once I familiarize myself with the photo augmentation software/process, I will be able to determine if my data set will be compatible with the project.

Goals for this week:

• Deploy HPCC on Docker Desktop

• Finish Azure Intern Training

• Complete/go through Containerized HPCC Systems Platform Documentation

• Set up Jira for issue tracking

• Install VS Code ECL Plug-in

• Follow GNN tutorial

• Install HPCC Clienttools on Mac

• Create GitHub project