/minio/minio/blob/master/LICENSE) MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads. | IMPORTANT | | ---------- | | This Helm chart is community built, maintained, and supported. MinIO does not guarantee support for any given bug, feature request, or update referencing this chart....

/minio/minio/blob/master/LICENSE) MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads. | IMPORTANT | | ---------- | | This Helm chart is community built, maintained, and supported. MinIO does not guarantee support for any given bug, feature request, or update referencing this chart....

/minio/minio/blob/master/LICENSE) MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads. For more detailed documentation please visit [here](https://min.io/docs/minio/linux/index.html) ## Introduction This chart bootstraps MinIO Cluster on [Kubernetes](http://kubernetes.io) using the...

    same implementation as their `tf.losses` equivalent.
*   For Keras model, the individual call of `Model.evaluate` uses no cached data
    for evaluation, while `Model.fit` uses cached data when `validation_data`
    arg is provided for better performance.
*   Adds a `save_traces` argument to `model.save`/ `tf.keras.models.save_model`

- New `KUBECACHEDIR` environment variable was introduced to override default discovery cache directory which is `$HOME/.kube/cache`. ([#109479](https://github.com/kubernetes/kubernetes/pull/109479), [@ardaguclu](https://github.com/ardaguclu))

* Allows changing nodeName in endpoint update. ([#68575](https://github.com/kubernetes/kubernetes/pull/68575), [@prameshj](https://github.com/prameshj))
* Improve Azure instance metadata handling by adding caches. ([#70353](https://github.com/kubernetes/kubernetes/pull/70353), [@feiskyer](https://github.com/feiskyer))



# v1.11.5

[Documentation](https://docs.k8s.io)

## Downloads for v1.11.5

filtering on fields was incorrect.  If watching objects with a filter, when an update was made that no longer matched the filter a DELETE event was correctly sent.  However, the object that was returned by that delete was not the (correct) version before the update, but instead, the newer version.  That meant the new object was not matched by the filter.  This was a regression from behavior between cached watches on the server side and uncached watches, and thus broke downstream API clients. ([#46223](ht...

  The scheduling hints allow the scheduler to only retry scheduling a `Pod`
  that was previously rejected by the `NodeAffinity` plugin if a new `Node` or a `Node` update matches the `Pod`'s node affinity. ([#119155](https://github.com/kubernetes/kubernetes/pull/119155), [@carlory](https://github.com/carlory))
- `kubeadm`: promoted feature gate `EtcdLearnerMode` to `beta`. Learner mode for

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