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Prepare for releasing v0.5.2.
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PiperOrigin-RevId: 385203234
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TensorFlow Recommenders Authors authored and TensorFlow Recommenders Team committed Jul 16, 2021
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6 changes: 5 additions & 1 deletion CHANGELOG.md
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# Changelog

## [unreleased][unreleased]
## [0.5.2][2021-07-15]

### Fixed

- Fixed error in default arguments to `tfrs.experimental.models.Ranking`
(https://github.com/tensorflow/recommenders/issues/311).
- Fix TPUEmbedding layer to use named parameters.

### Added

- Added `batch_metrics` to `tfrs.tasks.Retrieval` for measuring how good the
model is at picking out the true candidate for a query from other candidates
in the batch.
- Added `tfrs.experimental.layers.embedding.PartialTPUEmbedding` layer, which
uses `tfrs.layers.embedding.TPUEmbedding` for large embedding lookups and
`tf.keras.layers.Embedding` for smaller embedding lookups.

## [0.5.1][2021-05-14]

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2 changes: 1 addition & 1 deletion setup.py
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import pathlib
import setuptools

VERSION = "0.5.1"
VERSION = "0.5.2"

long_description = (pathlib.Path(__file__).parent
.joinpath("README.md")
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2 changes: 1 addition & 1 deletion tensorflow_recommenders/__init__.py
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you the flexibility to build complex models.
"""

__version__ = "v0.5.1"
__version__ = "v0.5.2"

from tensorflow_recommenders import examples
from tensorflow_recommenders import experimental
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