@@ -478,9 +478,9 @@ def log_precision_recall(
478478 output_artifact = True ,
479479 no_skill = None ,
480480 ):
481- """Log a precision recall graph artifact. If your job is created by a pipeline
482- execution you can view the artifact by selecting the corresponding step in the pipelines UI.
483- The Trial Component UI currently does not support rendering of the artifact .
481+ """Log a precision recall graph artifact. You can view the artifact in the charts tab of the
482+ Trial Component UI. If your job is created by a pipeline execution you can view the artifact
483+ by selecting the corresponding step in the pipelines UI .
484484 See also `SageMaker Pipelines <https://aws.amazon.com/sagemaker/pipelines/>`_
485485
486486 Requires sklearn.
@@ -542,9 +542,9 @@ def log_roc_curve(
542542 title = None ,
543543 output_artifact = True ,
544544 ):
545- """Log a receiver operating characteristic (ROC curve) artifact. If your job is created by a pipeline
546- execution you can view the artifact by selecting the corresponding step in the pipelines UI.
547- The Trial Component UI currently does not support rendering of the artifact .
545+ """Log a receiver operating characteristic (ROC curve) artifact. You can view the artifact
546+ in the charts tab of the Trial Component UI. If your job is created by a pipeline execution
547+ you can view the artifact by selecting the corresponding step in the pipelines UI .
548548 See also `SageMaker Pipelines <https://aws.amazon.com/sagemaker/pipelines/>`_
549549
550550 Requires sklearn.
@@ -595,9 +595,9 @@ def log_confusion_matrix(
595595 title = None ,
596596 output_artifact = True ,
597597 ):
598- """Log a confusion matrix artifact. If your job is created by a pipeline execution you can view the
599- artifact by selecting the corresponding step in the pipelines UI. The Trial Component UI
600- currently does not support rendering of the artifact .
598+ """Log a confusion matrix artifact. You can view the artifact in the charts tab of the
599+ Trial Component UI. If your job is created by a pipeline execution you can view the
600+ artifact by selecting the corresponding step in the pipelines UI .
601601 See also `SageMaker Pipelines <https://aws.amazon.com/sagemaker/pipelines/>`_
602602
603603 Requires sklearn.
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