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Release AdaNet v0.6.0.
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RELEASE.md

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limitations under the License.
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==============================================================================-->
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# Current version (0.6.0-dev)
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# Current version (0.7.0-dev)
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* Under development.
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* TODO: Add official Keras Model support, including Keras layers, Sequential, and Model subclasses for defining subnetworks.
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# Release 0.6.0
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* Official support AdaNet on TPU using `adanet.TPUEstimator` with `adanet.Estimator` feature parity.
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* Support dictionary candidate pools in `adanet.AutoEnsembleEstimator` constructor to specify human-readable candidate names.
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* Improve AutoEnsembleEstimator ability to handling custom `tf.estimator.Estimator` subclasses.
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* Introduce `adanet.ensemble` which contains interfaces and examples of ways to learn ensembles using AdaNet. Users can now extend AdaNet to use custom ensemble-learning methods.
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* Add support for evaluation on TPU using `adanet.TPUEstimator`.
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* Support recording TensorBoard `scalar`, `image`, `histogram`, and `audio` summaries on TPU during training.
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* Record TensorBoard `scalar`, `image`, `histogram`, and `audio` summaries on TPU during training.
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* Add debug mode to help detect NaNs and Infs during training.
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* BREAKING CHANGE: Doing `from adanet.core import subnetwork` will no longer work, because the `subnetwork` package was moved to `adanet.subnetwork`. Most users should already be using `adanet.subnetwork`, and should not be affected.
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* Improve subnetwork `tf.train.SessionRunHook` support to handle more edge cases.
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* Maintain compatibility with TensorFlow versions 1.9 thru 1.13.
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* Improve documentation including adding 'Getting Started' documentation to `adanet.readthedocs.io`.
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* **BREAKING CHANGE**: Importing the `adanet.subnetwork` package using `from adanet.core import subnetwork` will no longer work, because the package was moved to the `adanet/subnetwork` directory. Most users should already be using `adanet.subnetwork` or `from adanet import subnetwork`, and should not be affected.
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# Release 0.5.0
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* Support training on TPU using `adanet.TPUEstimator`.

adanet/version.py

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# ==============================================================================
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"""Contains the version string."""
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__version__ = u"0.6.0.dev"
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__version__ = u"0.6.0"

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