Module: GEPA

Extended by:
T::Sig
Defined in:
lib/gepa.rb,
lib/gepa/api.rb,
lib/gepa/logging.rb,
lib/gepa/version.rb,
lib/gepa/telemetry.rb,
lib/gepa/core/state.rb,
lib/gepa/core/engine.rb,
lib/gepa/core/result.rb,
lib/gepa/utils/pareto.rb,
lib/gepa/proposer/base.rb,
lib/gepa/logging/logger.rb,
lib/gepa/core/evaluation_batch.rb,
lib/gepa/proposer/merge_proposer.rb,
lib/gepa/strategies/batch_sampler.rb,
lib/gepa/logging/experiment_tracker.rb,
lib/gepa/strategies/candidate_selector.rb,
lib/gepa/strategies/component_selector.rb,
lib/gepa/strategies/instruction_proposal.rb,
lib/gepa/proposer/reflective_mutation/base.rb,
lib/gepa/proposer/reflective_mutation/reflective_mutation.rb

Defined Under Namespace

Modules: Core, Logging, Proposer, Strategies, Telemetry, Utils

Constant Summary collapse

VERSION = 
DSPy::VERSION

Class Method Summary collapse

Class Method Details

.optimize(seed_candidate:, trainset:, valset:, adapter:, reflective_proposer:, merge_proposer: nil, logger:, experiment_tracker:, max_metric_calls:, telemetry: nil) ⇒ Object 



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# File 'lib/gepa/api.rb', line 26

def optimize(
  seed_candidate:,
  trainset:,
  valset:,
  adapter:,
  reflective_proposer:,
  merge_proposer: nil,
  logger:,
  experiment_tracker:,
  max_metric_calls:,
  telemetry: nil
)
  evaluator = proc { |dataset, candidate| adapter.evaluate(dataset, candidate) }

  engine = GEPA::Core::Engine.new(
    run_dir: nil,
    evaluator: evaluator,
    valset: valset,
    seed_candidate: seed_candidate,
    max_metric_calls: max_metric_calls,
    perfect_score: Float::INFINITY,
    seed: 0,
    reflective_proposer: reflective_proposer,
    merge_proposer: merge_proposer,
    logger: logger,
    experiment_tracker: experiment_tracker,
    telemetry: telemetry || GEPA::Telemetry,
    track_best_outputs: false,
    display_progress_bar: false,
    raise_on_exception: true
  )

  state = engine.run
  GEPA::Core::Result.from_state(state)
end