Comments (4)
We are looking into this, but don't yet have a clear solution. We would like to get the class id -> name mappings via the label vocab, but we don't always have access to the vocab so we are currently looking into getting the APIs we need.
from model-analysis.
Typically the vocab is computed/known in an upstream step... would it be the worst idea to update the EvalConfig proto to have a field for vocab
?
from model-analysis.
@mdreves any thoughts about this suggestion?
from model-analysis.
The idea has been floated internally a few times and we are still considering it, but the preference is to find something that is bundled with the model so that the config is shared across components.
from model-analysis.
Related Issues (20)
- Unable to use custom Keras metrics with TFX evaluator component HOT 4
- AttributeError: partially initialized module error, test.py HOT 2
- Incorrect Documentation for MetricConfig
- Custom multilabel Keras metrics: dynamically initialize weight shape HOT 1
- Fairness indicator metrics do not show up HOT 5
- Validation bug when using feature values as slicing specs HOT 2
- No longer compatible with Dataflow runner v1 after v0.29
- Renaming Custom Layer breaks TFMA Evaluator HOT 6
- Error in merge_accumulators when using keras metrics on dataflow HOT 3
- TFMA analyze_raw_data function support with MultiClassConfusionMatrixPlot HOT 3
- Analytics HOT 1
- Breaking changes: tfma.metrics.MetricComputation `preprocessor` argument changed from accepting beam DoFn to `preprocessors` accepting a list of `Preprocessor` HOT 1
- Move to numpy >=1.20 because <1.20 is difficult to build on Apple Silicon HOT 4
- TFMA on Flink does not seems to be parallelizing work. HOT 5
- only integer values should be passed to num_instances metric. HOT 3
- Render_plot is failing HOT 2
- Feat: Have ability to return the HTML rather than creating the plots HOT 1
- CVE in Pyarrow dependency HOT 1
- CNN HOT 2
- pip install tensorflow-model-analysis fails on WSL2 on Windows 11 HOT 2
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from model-analysis.