dspy_rs::evaluate

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Evaluation and metrics for measuring module performance.

Re-exports

Item	Description
`evaluator::*`	Glob re-export.
`feedback_helpers::*`	Glob re-export.

Modules

Item	Description
`evaluator`
`feedback_helpers`

`evaluate::evaluator`

Re-exports

Item	Description
`Eval`	Re-export of `crate::trace::Eval`.

Traits

Item	Description
`TypedMetric`	How you tell the optimizer what “good” means.

Functions

Item	Description
`average_score`	Arithmetic mean of scores from a slice of `Eval`s.
`evaluate_trainset_with_concurrency`	`evaluate_trainset` with an explicit concurrency level.
`evaluate_trainset`	Runs a module on every example in a trainset and scores each with a metric.

Type aliases

Item	Description
`Rollout`	One evaluated rollout: the metric result plus the execution trace that produced it (with `Trace::outcome` filled in).

Constants

Item	Description
`DEFAULT_EVAL_CONCURRENCY`	Default number of examples evaluated concurrently by `evaluate_trainset`.

`evaluate::feedback_helpers`

Enums

Item	Description
`CodeStage`	Stage in code execution pipeline
`StageResult`	Result of a code stage

Functions

Item	Description
`classification_feedback`	Create feedback for classification tasks
`code_pipeline_feedback`	Create feedback for code generation pipelines
`multi_objective_feedback`	Create feedback for multi-objective optimization
`retrieval_feedback`	Create feedback for document retrieval tasks
`string_similarity_feedback`	Create feedback for string similarity tasks

Overview

dspy-rs

Companion crates

dspy_rs::evaluate

Re-exports

Modules

`evaluate::evaluator`

Re-exports

Traits

Functions

Type aliases

Constants

`evaluate::feedback_helpers`

Enums

Functions

​Re-exports

​Modules

​evaluate::evaluator

​Re-exports

​Traits

​Functions

​Type aliases

​Constants

​evaluate::feedback_helpers

​Enums

​Functions

Re-exports

Modules

`evaluate::evaluator`

Re-exports

Traits

Functions

Type aliases

Constants

`evaluate::feedback_helpers`

Enums

Functions