Class: DecisionAgent::Scoring::Threshold

Inherits:
Base
  • Object
show all
Defined in:
lib/decision_agent/scoring/threshold.rb

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(threshold: 0.7, fallback_decision: "no_decision") ⇒ Threshold

Returns a new instance of Threshold.



8
9
10
11
 
# File 'lib/decision_agent/scoring/threshold.rb', line 8

def initialize(threshold: 0.7, fallback_decision: "no_decision")
  @threshold = threshold.to_f
  @fallback_decision = fallback_decision
end

Instance Attribute Details

#fallback_decision ⇒ Object (readonly)

Returns the value of attribute fallback_decision.



6
7
8
 
# File 'lib/decision_agent/scoring/threshold.rb', line 6

def fallback_decision
  @fallback_decision
end

#threshold ⇒ Object (readonly)

Returns the value of attribute threshold.



6
7
8
 
# File 'lib/decision_agent/scoring/threshold.rb', line 6

def threshold
  @threshold
end

Instance Method Details

#score(evaluations) ⇒ Object 



13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
 
# File 'lib/decision_agent/scoring/threshold.rb', line 13

def score(evaluations)
  return { decision: @fallback_decision, confidence: 0.0 } if evaluations.empty?

  grouped = evaluations.group_by(&:decision)

  weighted_scores = grouped.map do |decision, evals|
    total_weight = evals.sum(&:weight)
    avg_weight = total_weight / evals.size
    [decision, avg_weight]
  end

  weighted_scores.sort_by! { |_, weight| -weight }

  winning_decision, winning_weight = weighted_scores.first

  if winning_weight >= @threshold
    {
      decision: winning_decision,
      confidence: round_confidence(normalize_confidence(winning_weight))
    }
  else
    {
      decision: @fallback_decision,
      confidence: round_confidence(normalize_confidence(winning_weight * 0.5))
    }
  end
end