v0.8.0
What's Changed
New Features
-
feature: Expose start and end index in DocumentChunk
-
feature: Add sorted_scores property to
SingleLabelClassifyOutput
. -
feature: Error information is printed to the console on failed runs and evaluations.
-
feature: The stack trace of a failed run/evaluation is included in the
FailedExampleRun
/FailedExampleEvaluation
object -
feature: The
Runner.run_dataset(..)
andEvaluator.evaluate_run(..)
have an optional flagabort_on_error
to stop running/evaluating when an error occurs. -
feature: Added
Runner.failed_runs(..)
andEvaluator.failed_evaluations(..)
to retrieve all failed run / evaluation lineages -
feature: Added
.successful_example_outputs(..)
and.failed_example_outputs(..)
toRunRepository
to match the evaluation repository -
feature: Added optional argument to set an id when creating a
Dataset
viaDatasetRepository.create_dataset(..)
-
feature: Traces now log exceptions using the
ErrorValue
type. -
Documentation:
- feature: Add info on how to run tests in VSCode
- feature: Add
issue_classification_user_journey
notebook. - feature: Add documentation of newly added data retrieval methods
how_to_retrieve_data_for_analysis
- feature: Add documentation of release workflow
Fixes
- fix: Fix version number in pyproject.toml in IL
- fix: Fix instructions for installing IL via pip.
Full Changelog: v0.7.0...v0.8.0