to a labeled dataset, in one function call. Note that it doesn't perform
        image data augmentation (which is meant to be done using preprocessing
        layers).
    *   **[`text_dataset_from_directory`](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/text_dataset_from_directory)**
        takes you from a structured directory of text files to a labeled
        dataset, in one function call.

* Fix problems with scaling up the cluster when unschedulable pods have some persistent volume claims. ([#44860](https://github.com/kubernetes/kubernetes/pull/44860), [@mwielgus](https://github.com/mwielgus))
* Exclude nodes labeled as master from LoadBalancer / NodePort; restores documented behaviour. ([#44745](https://github.com/kubernetes/kubernetes/pull/44745), [@justinsb](https://github.com/justinsb))

     */
    String getLdapAttrHomePostalAddress();

    /**
     * Get the value for the key 'ldap.attr.labeledURI'. <br>
     * The value is, e.g. labeledURI <br>
     * comment: LDAP attribute for labeled URI.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getLdapAttrLabeledURI();

    /**

## Changelog since v1.16.13

## Changes by Kind

### Bug or Regression

- Do not add nodes labeled with kubernetes.azure.com/managed=false to backend pool of load balancer. ([#93034](https://github.com/kubernetes/kubernetes/pull/93034), [@matthias50](https://github.com/matthias50)) [SIG Cloud Provider]

- Do not add nodes labeled with kubernetes.azure.com/managed=false to backend pool of load balancer. ([#93034](https://github.com/kubernetes/kubernetes/pull/93034), [@matthias50](https://github.com/matthias50)) [SIG Cloud Provider]