I am unable to see any outputs from Evaluator component.
Code used →
context.show( evaluator.outputs[‘evaluation’ ])
Getting output as
Artifact at tfx/Evaluator/Evaluation/94
Error displaying widget: model not found
I am unable to see any outputs from Evaluator component.
Code used →
context.show( evaluator.outputs[‘evaluation’ ])
Getting output as
Artifact at tfx/Evaluator/Evaluation/94
Error displaying widget: model not found
@Robert_Crowe
Yes, I am using Interactive context
Artifact explorer shows the following
Outputs shows the following
Sorry for the image quality, can’t take a screenshot due to company policy
@Robert_Crowe
In the folder structure
Evaluator/evaluation/95/
I am able to see various tf record files such as, attributes, metrics, plots, validations .
But am unable to visualise these files.
@Yasir_Modak for visibility
You can visualize the EvalResult
from evaluator component by loading it using TFMA library and plot them using tfma.view.render_slicing_metrics as shown in documentation. Let us know if you face any issues while implementation. Thank you!
Example Code:
import tensorflow_model_analysis as tfma
output_path = evaluator.outputs['evaluation'].get()[0].uri
# Load the evaluation results.
eval_result = tfma.load_eval_result(output_path)
# Visualize the metrics and plots using tfma.view.render_slicing_metrics,
# tfma.view.render_plot, etc.
tfma.view.render_slicing_metrics(tfma_result)
# Load the validation results
validation_result = tfma.load_validation_result(output_path)