Class: DSPy::Evals
- Inherits:
-
Object
- Object
- DSPy::Evals
- Extended by:
- T::Sig
- Includes:
- Callbacks
- Defined in:
- lib/dspy/evals.rb,
lib/dspy/evals/version.rb
Overview
Core evaluation framework for DSPy programs Supports single evaluations, batch evaluations, and optimization workflows
Defined Under Namespace
Classes: BatchEvaluationResult, EvaluationResult
Constant Summary collapse
- VERSION =
'1.0.2'
Instance Attribute Summary collapse
-
#export_scores ⇒ Object
readonly
Returns the value of attribute export_scores.
-
#failure_score ⇒ Object
readonly
Returns the value of attribute failure_score.
-
#last_batch_result ⇒ Object
readonly
Returns the value of attribute last_batch_result.
-
#last_example_result ⇒ Object
readonly
Returns the value of attribute last_example_result.
-
#max_errors ⇒ Object
readonly
Returns the value of attribute max_errors.
-
#metric ⇒ Object
readonly
Returns the value of attribute metric.
-
#num_threads ⇒ Object
readonly
Returns the value of attribute num_threads.
-
#program ⇒ Object
readonly
Returns the value of attribute program.
-
#provide_traceback ⇒ Object
readonly
Returns the value of attribute provide_traceback.
-
#score_name ⇒ Object
readonly
Returns the value of attribute score_name.
Class Method Summary collapse
- .after_batch(callback = nil, &block) ⇒ Object
- .after_example(callback = nil, &block) ⇒ Object
- .before_batch(callback = nil, &block) ⇒ Object
- .before_example(callback = nil, &block) ⇒ Object
- .reset_callbacks! ⇒ Object
Instance Method Summary collapse
- #call(example, trace: nil) ⇒ Object
- #evaluate(devset, display_progress: true, display_table: false, return_outputs: true) ⇒ Object
-
#initialize(program, metric: nil, num_threads: 1, max_errors: 5, failure_score: 0.0, provide_traceback: true, export_scores: false, score_name: 'evaluation') ⇒ Evals
constructor
A new instance of Evals.
Methods included from Callbacks
Constructor Details
#initialize(program, metric: nil, num_threads: 1, max_errors: 5, failure_score: 0.0, provide_traceback: true, export_scores: false, score_name: 'evaluation') ⇒ Evals
Returns a new instance of Evals.
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# File 'lib/dspy/evals.rb', line 241 def initialize(program, metric: nil, num_threads: 1, max_errors: 5, failure_score: 0.0, provide_traceback: true, export_scores: false, score_name: 'evaluation') @program = program @metric = metric @num_threads = num_threads || 1 @max_errors = max_errors || 5 @provide_traceback = provide_traceback @failure_score = failure_score ? failure_score.to_f : 0.0 @export_scores = export_scores @score_name = score_name @last_example_result = nil @last_batch_result = nil end |
Instance Attribute Details
#export_scores ⇒ Object (readonly)
Returns the value of attribute export_scores.
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# File 'lib/dspy/evals.rb', line 195 def export_scores @export_scores end |
#failure_score ⇒ Object (readonly)
Returns the value of attribute failure_score.
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# File 'lib/dspy/evals.rb', line 186 def failure_score @failure_score end |
#last_batch_result ⇒ Object (readonly)
Returns the value of attribute last_batch_result.
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# File 'lib/dspy/evals.rb', line 192 def last_batch_result @last_batch_result end |
#last_example_result ⇒ Object (readonly)
Returns the value of attribute last_example_result.
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# File 'lib/dspy/evals.rb', line 189 def last_example_result @last_example_result end |
#max_errors ⇒ Object (readonly)
Returns the value of attribute max_errors.
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# File 'lib/dspy/evals.rb', line 180 def max_errors @max_errors end |
#metric ⇒ Object (readonly)
Returns the value of attribute metric.
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# File 'lib/dspy/evals.rb', line 174 def metric @metric end |
#num_threads ⇒ Object (readonly)
Returns the value of attribute num_threads.
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# File 'lib/dspy/evals.rb', line 177 def num_threads @num_threads end |
#program ⇒ Object (readonly)
Returns the value of attribute program.
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# File 'lib/dspy/evals.rb', line 171 def program @program end |
#provide_traceback ⇒ Object (readonly)
Returns the value of attribute provide_traceback.
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# File 'lib/dspy/evals.rb', line 183 def provide_traceback @provide_traceback end |
#score_name ⇒ Object (readonly)
Returns the value of attribute score_name.
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# File 'lib/dspy/evals.rb', line 198 def score_name @score_name end |
Class Method Details
.after_batch(callback = nil, &block) ⇒ Object
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# File 'lib/dspy/evals.rb', line 220 def after_batch(callback = nil, &block) after(callback, target: :evaluate, &block) end |
.after_example(callback = nil, &block) ⇒ Object
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# File 'lib/dspy/evals.rb', line 212 def after_example(callback = nil, &block) after(callback, target: :call, &block) end |
.before_batch(callback = nil, &block) ⇒ Object
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# File 'lib/dspy/evals.rb', line 216 def before_batch(callback = nil, &block) before(callback, target: :evaluate, &block) end |
.before_example(callback = nil, &block) ⇒ Object
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# File 'lib/dspy/evals.rb', line 208 def before_example(callback = nil, &block) before(callback, target: :call, &block) end |
.reset_callbacks! ⇒ Object
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# File 'lib/dspy/evals.rb', line 224 def reset_callbacks! @callbacks = {} end |
Instance Method Details
#call(example, trace: nil) ⇒ Object
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# File 'lib/dspy/evals.rb', line 256 def call(example, trace: nil) call_with_program(@program, example, trace: trace, track_state: true) end |
#evaluate(devset, display_progress: true, display_table: false, return_outputs: true) ⇒ Object
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# File 'lib/dspy/evals.rb', line 269 def evaluate(devset, display_progress: true, display_table: false, return_outputs: true) run_callbacks(:before, :evaluate, devset: devset) DSPy::Context.with_span( operation: 'evaluation.batch', 'dspy.module' => 'Evaluator', 'evaluation.program' => @program.class.name, 'evaluation.num_examples' => devset.length, 'evaluation.has_metric' => !@metric.nil?, 'evaluation.num_threads' => @num_threads ) do if display_progress puts "Evaluating #{devset.length} examples..." end results = if parallel_execution? evaluate_in_parallel(devset, display_progress: display_progress) else evaluate_sequential(devset, display_progress: display_progress) end # Aggregate metrics aggregated_metrics = aggregate_metrics(results) batch_result = BatchEvaluationResult.new( results: results, aggregated_metrics: aggregated_metrics ) if display_table display_results_table(batch_result) end # Emit batch completion event DSPy.log('evaluation.batch_complete', **{ 'evaluation.program_class' => @program.class.name, 'evaluation.total_examples' => batch_result.total_examples, 'evaluation.passed_examples' => batch_result.passed_examples, 'evaluation.pass_rate' => batch_result.pass_rate, 'evaluation.aggregated_metrics' => aggregated_metrics }) if display_progress puts "Evaluation complete: #{batch_result.passed_examples}/#{batch_result.total_examples} passed (#{(batch_result.pass_rate * 100).round(1)}%)" end batch_result end.then do |batch_result| @last_batch_result = batch_result emit_batch_observation(devset, batch_result) run_callbacks(:after, :evaluate, devset: devset, result: batch_result) batch_result end end |