Online Prediction Framework

The OPF is a Python-only convenience library that uses the Network API to construct commonly used models. The primary classes it exposes to users are the HTMPredictionModel and the ModelFactory.

Online Prediction Framework (OPF) is a framework for working with and deriving predictions from online learning algorithms, including HTM. OPF is designed to work in conjunction with a larger architecture, as well as in a standalone mode (i.e. directly from the command line). It is also designed such that new model algorithms and functionalities can be added with minimal code changes.

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• Models
  • ModelFactory
  • Base Model
  • HTMPredictionModel
  • TwoGramModel
  • PreviousValueModel
• Clients
• Description API
• Experiment Runner
• Environments
  • OPF Task Driver
  • OPF Environment
  • OPF Basic Environment
• Metrics
  • Prediction Metrics Manager
  • Interface
    • Example usage (hot gym example):
  • Helpers
  • Available Metrics
• Model Results
  • ModelResult
  • InferenceShifter
• Utilities
  • Common Models
  • Inference Utilities
  • Input Utilities
  • Helpers
• Exceptions