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| tensorflow-model-analysis | tensorflow | apache-beam[ gcp] |
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| ------------------------------------------------------------------------------------| --------------| ----------------|
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| [ GitHub master] ( https://github.com/tensorflow/model-analysis/blob/master/RELEASE.md ) | nightly (1.x) | 2.11.0 |
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+ | [ 0.13.1] ( https://github.com/tensorflow/model-analysis/blob/v0.13.1/RELEASE.md ) | 1.13 | 2.11.0 |
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| [ 0.13.0] ( https://github.com/tensorflow/model-analysis/blob/v0.13.0/RELEASE.md ) | 1.13 | 2.11.0 |
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| [ 0.12.1] ( https://github.com/tensorflow/model-analysis/blob/v0.12.1/RELEASE.md ) | 1.12 | 2.10.0 |
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| [ 0.12.0] ( https://github.com/tensorflow/model-analysis/blob/v0.12.0/RELEASE.md ) | 1.12 | 2.10.0 |
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- # Current version (not yet released; still in development)
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+ # Release 0.13.1
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## Major Features and Improvements
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* Added support for squared pearson correlation (R squared) post export
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metric.
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## Bug fixes and other changes
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-
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* Cast / convert labels for precision / recall at K so that they work even if
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the label and the classes Tensors have different types, as long as the types
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are compatible.
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# Version string for this release of TFMA.
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# Note that setup.py reads and uses this version.
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- VERSION_STRING = '0.14.0dev '
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+ VERSION_STRING = '0.13.1 '
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