Releases
v0.41.0
TensorFlow Model Analysis 0.41.0
Major Features and Improvements
Add COCO object detection metrics, object detection related utilities,
objection detection opitons in binary confusion matrix, Precision At Recall,
and AUC. Add MaxRecall metric.
Add support for parsing sparse tensors with explicit tensor representations
via TFXIO.
Bug fixes and other Changes
Add score_distribution_plot.
Separate the Predictions Extractor into two extractors.
Update PredictionsExtractor to support backwards compatibility with the
Materialized Predictions Extractor.
Depends on apache-beam[gcp]>=2.40,<3
.
Depends on pyarrow>=6,<7
.
Update merge_extracts with an option to skip squeezing one-dim arrays.
Update split_extracts with an option to expand zero-dim arrays.
Added experimental bulk inference implementation to PredictionsExtractor.
Currently only supports the RegressionAPI.
Breaking Changes
Adds multi-index columns for view.experimental.metrics_as_dataframe util.
Changes SymmetricPredictionDifference output type from array to scalar.
Deprecations
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