Product Update

Programming, Analytics & Computing Environment

This introductory video on the Programming, Analytics & Computing Environment (PACE) describes the high level benefits of a programming environment for clinical programmers and data scientists, showcases the PACE environment, and demos how two programmers and their manager can upload, review, and manage clinical code in the computing environment.

This demo also showcases PACE’s AutoML capabilities – where a data scientist unfamiliar with machine learning principles uses AutoML to generate a supervised learning model.

Timestamps:

  • 0:00 PACE Introduction and Benefits
  • 2:18 IDEs in PACE
  • 4:25 Visual Studio Code Example
  • 7:02 Reviewing our Python Script & Output in PACE
  • 10:00 Remote Desktop Editor (Spyder) Example
  • 12:35 Reviewing our updated script in PACE
  • 13:38 Universal File Search
  • 14:42 Auto ML
  • 15:36 Creating an Experiment in AutoML
  • 19:59 Using our Supervised Model to make Predictions
  • 22:52 Repository & User Space
  • 25:05 Version Control in PACE
  • 27:39 Quality Checks & Validation
  • 31:06 Job Management
  • 32:27 Administrator Tasks & Workflow in PACE
  • 36:19 PACE Dashboard

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