Contents Menu Expand Light mode Dark mode Auto light/dark mode Auto light/dark, in light mode Auto light/dark, in dark mode Skip to content
SustainDC 2.2.1 documentation
Light Logo Dark Logo
SustainDC 2.2.1 documentation
  • Installation
  • Getting Started
  • Overview
    • SustainDC Environments
    • Inter-connected Environments
    • External Input Data
    • Benchmarking Algorithms
    • Reward Functions
  • Custom Use
    • Main Configuration File
    • Data Center Configuration File
    • Custom Workload Data
    • Custom Carbon Intensity Data
    • Custom Weather Data
    • Custom Reward Functions
  • Evaluation
    • Monitor Results with SustainDC Dashboard
    • Monitor Results with TensorBoard
    • How to evaluate SustainDC model
  • Code
    • Core Environment
    • Training
    • Evaluation
    • Algorithms
      • harl.algorithms package
        • harl.algorithms.actors package
        • harl.algorithms.critics package
      • harl.common package
        • harl.common.buffers package
      • harl.envs package
      • harl.models package
        • harl.models.base package
        • harl.models.policy_models package
        • harl.models.value_function_models package
      • harl.runners package
      • harl.utils package
    • Environments
    • Utilities
    • Data Sources
      • data.CarbonIntensity package
      • data.Weather package
      • data.Workload package
  • Contribution Guidelines
  • References
  • Index
  • Module Index
Back to top
View this page

EvaluationΒΆ

In this section we cover the SustainDC Dashboard, implemented evaluation metrics for benchmarking, and how to monitor and evaluate results

  • Monitor Results with SustainDC Dashboard
  • Monitor Results with TensorBoard
  • How to evaluate SustainDC model
Next
Monitor Results with SustainDC Dashboard
Previous
Custom Reward Functions
Copyright © 2024, HPE
Made with Sphinx and @pradyunsg's Furo