Guides

• OPF Guide
  • Examples
  • OPF in a nutshell
  • What does the OPF do?
  • What doesn’t the OPF do?
  • Models
    • The Model Interface
    • Model Input
    • Model Output: The ModelResult Object
    • Inference Elements
  • Metrics
    • Metric Specs
    • MetricLabels
    • Metrics Calculation Modules (metrics.py)
  • Output
    • Outputting Inferences
• Network API Guide
  • Introduction
  • Goals and Technical Requirements
  • Overview of the Network Engine
    • Network Structure
    • Object Model
    • Internal and External API
  • Network Engine Classes
    • Network
    • Region
    • RegionImpl
    • Output
    • Input
    • Link
    • Collection
  • Specific topics
    • Network serialization
    • Network initialization
    • Running a network
  • History, Implementation Status and Future Plans
• Swarming
  • Guide to Running Swarms
    • Prerequisites
    • Example
    • Running models discovered by the swarm
    • Running a Swarm Programmatically
    • Specifying a Swarm
    • 30,000 Foot View of The Swarming Process
    • Advanced Usage
  • The Swarming Algorithm
    • Overview
    • Field Search Logic
    • Choosing Scalar Parameter Values
    • Choosing Enumerated Parameter Values
    • Speculative Execution
• Anomaly Detection
  • TemporalAnomaly model
    • Description
    • Computation
    • Rationale
    • Results
    • Confidences vs. Predicted Cells
  • Non-Temporal Anomaly Detection
    • Description
    • Computation
    • Rationale
    • Results