IA-SDK Python documentation!

This project provides various helper classes and functions for interacting with GAIuS™ agents. For more information, see Intelligent Artifacts’ site

Contents:

• GAIuS Data Format (GDF)
  • Fields
  • Example Conversions
• Tutorials
  • Quick Start: Hello, World!
  • Create a Genome Topology for your Agent
  • Deploy an Agent
  • Connect to Your Agent
  • Interact with your Agent using String Data
  • An Emotional Machine: Emotives and Mood
• API Reference
  • AgentClient
  • Thinkflux Client
  • COMCOMClient
  • Genome
  • KB Ops
  • Data Ops
  • Utilities
  • Performance Validation Testing
  • AgentManager
  • Prediction Models
  • ia.gaius package
• Examples
  • Agent Setup
  • Changing Genes
  • Basic PVT Setup and Example
  • PVT on 10k records of MNIST Digit Dataset
  • Scikit-Learn GAIuS™ Pipeline Example
• Cognitive Processor Genes
• Gene Information
  • always_update_frequencies
  • auto_learn_algorithm
  • auto_learn_metric
  • classifier
  • enable_genome_snapshots
  • enable_predictions_kb
  • enable_snapshots
  • max_predictions
  • max_sequence_length
  • near_vector_count
  • persistence
  • predict_on_nth_event
  • prediction_sort_metric
  • prediction_threshold
  • prediction_threshold_direction
  • prediction_threshold_metric
  • recall_threshold
  • search_depth
  • SORT
  • smoothness
  • snapshot_gen_predictions
  • wm_resolution
• COMCOM System
  • COMCOMClient
  • ComCom InputSlot
  • ComCom OutputSlot
• GAIuS RESTful API
  • Four Core API Calls
  • Helper Functionality
  • Miscellaneous Endpoints

Indices and tables

• Index

• Module Index

• Search Page