CrucibleIR.Reliability.Ensemble (CrucibleIR v0.2.1)

Configuration for ensemble voting strategies.

Ensemble voting uses multiple models to make predictions and combines their outputs using various voting strategies.

Fields

:strategy - The voting strategy (default: :none)
:execution_mode - How to execute models (default: :parallel)
:models - List of model identifiers to use in the ensemble
:weights - Model weights for weighted voting
:min_agreement - Minimum agreement threshold for voting
:timeout_ms - Timeout for model execution
:options - Additional ensemble-specific options

Voting Strategies

:none - No ensemble (single model)
:majority - Simple majority vote
:weighted - Weighted vote based on model weights
:best_confidence - Select output with highest confidence
:unanimous - Require all models to agree

Execution Modes

:parallel - Execute all models simultaneously
:sequential - Execute models one at a time
:hedged - Use hedging for parallel execution
:cascade - Stop when threshold is reached

Summary

Types

execution_mode()

strategy()

t()

Types

execution_mode()

@type execution_mode() :: :parallel | :sequential | :hedged | :cascade

strategy()

@type strategy() :: :none | :majority | :weighted | :best_confidence | :unanimous

t()

@type t() :: %CrucibleIR.Reliability.Ensemble{
  execution_mode: execution_mode(),
  min_agreement: float() | nil,
  models: [atom()] | nil,
  options: map() | nil,
  strategy: strategy(),
  timeout_ms: pos_integer() | nil,
  weights: map() | nil
}