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fix(components): remove default prediction column names in evaluation classification component to fix incorrect column names for bigquery data source #10708

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Apr 19, 2024
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fix(components): remove default prediction column names in evaluation classification component to fix incorrect column names for bigquery data source #10708

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1 change: 1 addition & 0 deletions components/google-cloud/RELEASE.md
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Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
## Upcoming release
* Use larger base reward model when tuning `text-bison@001`, `chat-bison@001` and `t5-xxl` with the `preview.llm.rlhf_pipeline`.
* Move `preview.model_evaluation.autosxs_pipeline` to `v1.model_evaluation.autosxs_pipeline`.
* Remove default prediction column names in `v1.model_evaluation.classification_component` component to fix pipeline errors when using bigquery data source.

## Release 2.13.1
* Fix model name preprocess error, pass correct model to `ModelImportEvaluationOp` component in `v1.model_evaluation.evaluation_llm_text_generation_pipeline` and `v1.model_evaluation.evaluation_llm_classification_pipeline`.
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4 changes: 2 additions & 2 deletions ...le-cloud/google_cloud_pipeline_components/v1/model_evaluation/classification_component.py
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Expand Up @@ -38,8 +38,8 @@ def model_evaluation_classification(
ground_truth_bigquery_source: str = '',
classification_type: str = 'multiclass',
class_labels: List[str] = [],
prediction_score_column: str = 'prediction.scores',
prediction_label_column: str = 'prediction.classes',
prediction_score_column: str = '',
prediction_label_column: str = '',
slicing_specs: List[Any] = [],
positive_classes: List[str] = [],
dataflow_service_account: str = '',
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