chore: Update discovery artifacts (#1472)
## Deleted keys were detected in the following stable discovery artifacts:
monitoring v1 https://github.com/googleapis/google-api-python-client/commit/75a5ced2b372723c21d45b172dd69e0bb91c5509
## Deleted keys were detected in the following pre-stable discovery artifacts:
ideahub v1alpha https://github.com/googleapis/google-api-python-client/commit/24483a4f512922f809fc8352b9407e606856b0e2
speech v1p1beta1 https://github.com/googleapis/google-api-python-client/commit/689fff21696add03b8c3ab843374b6bd2dd3cc16
## Discovery Artifact Change Summary:
feat(androidpublisher): update the api https://github.com/googleapis/google-api-python-client/commit/cf67afc22e94f856773895a4e603e7a9a6bfa20b
feat(apigee): update the api https://github.com/googleapis/google-api-python-client/commit/995336984e11fb9f91308d14a68faf8f3091d1fa
feat(appengine): update the api https://github.com/googleapis/google-api-python-client/commit/eb7a571470cef08641224558a7bd8eaa07a41bad
feat(chromepolicy): update the api https://github.com/googleapis/google-api-python-client/commit/5654776fdc8361aa0703a7dca8069b576a1b2f73
feat(cloudbuild): update the api https://github.com/googleapis/google-api-python-client/commit/437e37f1c36268464f90e075ffeaef61580de237
feat(cloudkms): update the api https://github.com/googleapis/google-api-python-client/commit/ebd3f49f78738792032e431b73233ae0c458bae3
feat(containeranalysis): update the api https://github.com/googleapis/google-api-python-client/commit/d446928f941d858022f0e1a1911bbf185920159d
feat(dialogflow): update the api https://github.com/googleapis/google-api-python-client/commit/0feb05616eb28db7c35e128ebbf338b63446b8cf
fix(fcm): update the api https://github.com/googleapis/google-api-python-client/commit/f1dd412cad2a2cdd1863bb2942cf07fc6a42b649
feat(ideahub): update the api https://github.com/googleapis/google-api-python-client/commit/24483a4f512922f809fc8352b9407e606856b0e2
feat(metastore): update the api https://github.com/googleapis/google-api-python-client/commit/897beb3754da50e117292f5954265076804acb7f
feat(monitoring): update the api https://github.com/googleapis/google-api-python-client/commit/75a5ced2b372723c21d45b172dd69e0bb91c5509
feat(osconfig): update the api https://github.com/googleapis/google-api-python-client/commit/c8b511a21f7fc7f2471d5f7a3b2d3760e4f8a629
feat(speech): update the api https://github.com/googleapis/google-api-python-client/commit/689fff21696add03b8c3ab843374b6bd2dd3cc16
feat(storagetransfer): update the api https://github.com/googleapis/google-api-python-client/commit/24564836842f792e9373ea505d97e775f64a5960
diff --git a/docs/dyn/ml_v1.projects.jobs.html b/docs/dyn/ml_v1.projects.jobs.html
index 243645d..4a1387a 100644
--- a/docs/dyn/ml_v1.projects.jobs.html
+++ b/docs/dyn/ml_v1.projects.jobs.html
@@ -180,7 +180,7 @@
"args": [ # Optional. Command-line arguments passed to the training application when it starts. If your job uses a custom container, then the arguments are passed to the container's `ENTRYPOINT` command.
"A String",
],
- "enableWebAccess": True or False, # Optional. Whether to enable web access for the training job.
+ "enableWebAccess": True or False, # Optional. Whether you want AI Platform Training to enable [interactive shell access](https://cloud.google.com/ai-platform/training/docs/monitor-debug-interactive-shell) to training containers. If set to `true`, you can access interactive shells at the URIs given by TrainingOutput.web_access_uris or HyperparameterOutput.web_access_uris (within TrainingOutput.trials).
"encryptionConfig": { # Represents a custom encryption key configuration that can be applied to a resource. # Optional. Options for using customer-managed encryption keys (CMEK) to protect resources created by a training job, instead of using Google's default encryption. If this is set, then all resources created by the training job will be encrypted with the customer-managed encryption key that you specify. [Learn how and when to use CMEK with AI Platform Training](/ai-platform/training/docs/cmek).
"kmsKeyName": "A String", # The Cloud KMS resource identifier of the customer-managed encryption key used to protect a resource, such as a training job. It has the following format: `projects/{PROJECT_ID}/locations/{REGION}/keyRings/{KEY_RING_NAME}/cryptoKeys/{KEY_NAME}`
},
@@ -344,12 +344,12 @@
"startTime": "A String", # Output only. Start time for the trial.
"state": "A String", # Output only. The detailed state of the trial.
"trialId": "A String", # The trial id for these results.
- "webAccessUris": { # The web URIs for the training job. Currently for debug terminal access to the job. Only set for in-progress hyperparameter tuning trials with web access enabled.
+ "webAccessUris": { # URIs for accessing [interactive shells](https://cloud.google.com/ai-platform/training/docs/monitor-debug-interactive-shell) (one URI for each training node). Only available if this trial is part of a hyperparameter tuning job and the job's training_input.enable_web_access is `true`. The keys are names of each node in the training job; for example, `master-replica-0` for the master node, `worker-replica-0` for the first worker, and `ps-replica-0` for the first parameter server. The values are the URIs for each node's interactive shell.
"a_key": "A String",
},
},
],
- "webAccessUris": { # Output only. The web URIs for the training job. Currently for debug terminal access to the job.
+ "webAccessUris": { # Output only. URIs for accessing [interactive shells](https://cloud.google.com/ai-platform/training/docs/monitor-debug-interactive-shell) (one URI for each training node). Only available if training_input.enable_web_access is `true`. The keys are names of each node in the training job; for example, `master-replica-0` for the master node, `worker-replica-0` for the first worker, and `ps-replica-0` for the first parameter server. The values are the URIs for each node's interactive shell.
"a_key": "A String",
},
},
@@ -400,7 +400,7 @@
"args": [ # Optional. Command-line arguments passed to the training application when it starts. If your job uses a custom container, then the arguments are passed to the container's `ENTRYPOINT` command.
"A String",
],
- "enableWebAccess": True or False, # Optional. Whether to enable web access for the training job.
+ "enableWebAccess": True or False, # Optional. Whether you want AI Platform Training to enable [interactive shell access](https://cloud.google.com/ai-platform/training/docs/monitor-debug-interactive-shell) to training containers. If set to `true`, you can access interactive shells at the URIs given by TrainingOutput.web_access_uris or HyperparameterOutput.web_access_uris (within TrainingOutput.trials).
"encryptionConfig": { # Represents a custom encryption key configuration that can be applied to a resource. # Optional. Options for using customer-managed encryption keys (CMEK) to protect resources created by a training job, instead of using Google's default encryption. If this is set, then all resources created by the training job will be encrypted with the customer-managed encryption key that you specify. [Learn how and when to use CMEK with AI Platform Training](/ai-platform/training/docs/cmek).
"kmsKeyName": "A String", # The Cloud KMS resource identifier of the customer-managed encryption key used to protect a resource, such as a training job. It has the following format: `projects/{PROJECT_ID}/locations/{REGION}/keyRings/{KEY_RING_NAME}/cryptoKeys/{KEY_NAME}`
},
@@ -564,12 +564,12 @@
"startTime": "A String", # Output only. Start time for the trial.
"state": "A String", # Output only. The detailed state of the trial.
"trialId": "A String", # The trial id for these results.
- "webAccessUris": { # The web URIs for the training job. Currently for debug terminal access to the job. Only set for in-progress hyperparameter tuning trials with web access enabled.
+ "webAccessUris": { # URIs for accessing [interactive shells](https://cloud.google.com/ai-platform/training/docs/monitor-debug-interactive-shell) (one URI for each training node). Only available if this trial is part of a hyperparameter tuning job and the job's training_input.enable_web_access is `true`. The keys are names of each node in the training job; for example, `master-replica-0` for the master node, `worker-replica-0` for the first worker, and `ps-replica-0` for the first parameter server. The values are the URIs for each node's interactive shell.
"a_key": "A String",
},
},
],
- "webAccessUris": { # Output only. The web URIs for the training job. Currently for debug terminal access to the job.
+ "webAccessUris": { # Output only. URIs for accessing [interactive shells](https://cloud.google.com/ai-platform/training/docs/monitor-debug-interactive-shell) (one URI for each training node). Only available if training_input.enable_web_access is `true`. The keys are names of each node in the training job; for example, `master-replica-0` for the master node, `worker-replica-0` for the first worker, and `ps-replica-0` for the first parameter server. The values are the URIs for each node's interactive shell.
"a_key": "A String",
},
},
@@ -627,7 +627,7 @@
"args": [ # Optional. Command-line arguments passed to the training application when it starts. If your job uses a custom container, then the arguments are passed to the container's `ENTRYPOINT` command.
"A String",
],
- "enableWebAccess": True or False, # Optional. Whether to enable web access for the training job.
+ "enableWebAccess": True or False, # Optional. Whether you want AI Platform Training to enable [interactive shell access](https://cloud.google.com/ai-platform/training/docs/monitor-debug-interactive-shell) to training containers. If set to `true`, you can access interactive shells at the URIs given by TrainingOutput.web_access_uris or HyperparameterOutput.web_access_uris (within TrainingOutput.trials).
"encryptionConfig": { # Represents a custom encryption key configuration that can be applied to a resource. # Optional. Options for using customer-managed encryption keys (CMEK) to protect resources created by a training job, instead of using Google's default encryption. If this is set, then all resources created by the training job will be encrypted with the customer-managed encryption key that you specify. [Learn how and when to use CMEK with AI Platform Training](/ai-platform/training/docs/cmek).
"kmsKeyName": "A String", # The Cloud KMS resource identifier of the customer-managed encryption key used to protect a resource, such as a training job. It has the following format: `projects/{PROJECT_ID}/locations/{REGION}/keyRings/{KEY_RING_NAME}/cryptoKeys/{KEY_NAME}`
},
@@ -791,12 +791,12 @@
"startTime": "A String", # Output only. Start time for the trial.
"state": "A String", # Output only. The detailed state of the trial.
"trialId": "A String", # The trial id for these results.
- "webAccessUris": { # The web URIs for the training job. Currently for debug terminal access to the job. Only set for in-progress hyperparameter tuning trials with web access enabled.
+ "webAccessUris": { # URIs for accessing [interactive shells](https://cloud.google.com/ai-platform/training/docs/monitor-debug-interactive-shell) (one URI for each training node). Only available if this trial is part of a hyperparameter tuning job and the job's training_input.enable_web_access is `true`. The keys are names of each node in the training job; for example, `master-replica-0` for the master node, `worker-replica-0` for the first worker, and `ps-replica-0` for the first parameter server. The values are the URIs for each node's interactive shell.
"a_key": "A String",
},
},
],
- "webAccessUris": { # Output only. The web URIs for the training job. Currently for debug terminal access to the job.
+ "webAccessUris": { # Output only. URIs for accessing [interactive shells](https://cloud.google.com/ai-platform/training/docs/monitor-debug-interactive-shell) (one URI for each training node). Only available if training_input.enable_web_access is `true`. The keys are names of each node in the training job; for example, `master-replica-0` for the master node, `worker-replica-0` for the first worker, and `ps-replica-0` for the first parameter server. The values are the URIs for each node's interactive shell.
"a_key": "A String",
},
},
@@ -907,7 +907,7 @@
"args": [ # Optional. Command-line arguments passed to the training application when it starts. If your job uses a custom container, then the arguments are passed to the container's `ENTRYPOINT` command.
"A String",
],
- "enableWebAccess": True or False, # Optional. Whether to enable web access for the training job.
+ "enableWebAccess": True or False, # Optional. Whether you want AI Platform Training to enable [interactive shell access](https://cloud.google.com/ai-platform/training/docs/monitor-debug-interactive-shell) to training containers. If set to `true`, you can access interactive shells at the URIs given by TrainingOutput.web_access_uris or HyperparameterOutput.web_access_uris (within TrainingOutput.trials).
"encryptionConfig": { # Represents a custom encryption key configuration that can be applied to a resource. # Optional. Options for using customer-managed encryption keys (CMEK) to protect resources created by a training job, instead of using Google's default encryption. If this is set, then all resources created by the training job will be encrypted with the customer-managed encryption key that you specify. [Learn how and when to use CMEK with AI Platform Training](/ai-platform/training/docs/cmek).
"kmsKeyName": "A String", # The Cloud KMS resource identifier of the customer-managed encryption key used to protect a resource, such as a training job. It has the following format: `projects/{PROJECT_ID}/locations/{REGION}/keyRings/{KEY_RING_NAME}/cryptoKeys/{KEY_NAME}`
},
@@ -1071,12 +1071,12 @@
"startTime": "A String", # Output only. Start time for the trial.
"state": "A String", # Output only. The detailed state of the trial.
"trialId": "A String", # The trial id for these results.
- "webAccessUris": { # The web URIs for the training job. Currently for debug terminal access to the job. Only set for in-progress hyperparameter tuning trials with web access enabled.
+ "webAccessUris": { # URIs for accessing [interactive shells](https://cloud.google.com/ai-platform/training/docs/monitor-debug-interactive-shell) (one URI for each training node). Only available if this trial is part of a hyperparameter tuning job and the job's training_input.enable_web_access is `true`. The keys are names of each node in the training job; for example, `master-replica-0` for the master node, `worker-replica-0` for the first worker, and `ps-replica-0` for the first parameter server. The values are the URIs for each node's interactive shell.
"a_key": "A String",
},
},
],
- "webAccessUris": { # Output only. The web URIs for the training job. Currently for debug terminal access to the job.
+ "webAccessUris": { # Output only. URIs for accessing [interactive shells](https://cloud.google.com/ai-platform/training/docs/monitor-debug-interactive-shell) (one URI for each training node). Only available if training_input.enable_web_access is `true`. The keys are names of each node in the training job; for example, `master-replica-0` for the master node, `worker-replica-0` for the first worker, and `ps-replica-0` for the first parameter server. The values are the URIs for each node's interactive shell.
"a_key": "A String",
},
},
@@ -1146,7 +1146,7 @@
"args": [ # Optional. Command-line arguments passed to the training application when it starts. If your job uses a custom container, then the arguments are passed to the container's `ENTRYPOINT` command.
"A String",
],
- "enableWebAccess": True or False, # Optional. Whether to enable web access for the training job.
+ "enableWebAccess": True or False, # Optional. Whether you want AI Platform Training to enable [interactive shell access](https://cloud.google.com/ai-platform/training/docs/monitor-debug-interactive-shell) to training containers. If set to `true`, you can access interactive shells at the URIs given by TrainingOutput.web_access_uris or HyperparameterOutput.web_access_uris (within TrainingOutput.trials).
"encryptionConfig": { # Represents a custom encryption key configuration that can be applied to a resource. # Optional. Options for using customer-managed encryption keys (CMEK) to protect resources created by a training job, instead of using Google's default encryption. If this is set, then all resources created by the training job will be encrypted with the customer-managed encryption key that you specify. [Learn how and when to use CMEK with AI Platform Training](/ai-platform/training/docs/cmek).
"kmsKeyName": "A String", # The Cloud KMS resource identifier of the customer-managed encryption key used to protect a resource, such as a training job. It has the following format: `projects/{PROJECT_ID}/locations/{REGION}/keyRings/{KEY_RING_NAME}/cryptoKeys/{KEY_NAME}`
},
@@ -1310,12 +1310,12 @@
"startTime": "A String", # Output only. Start time for the trial.
"state": "A String", # Output only. The detailed state of the trial.
"trialId": "A String", # The trial id for these results.
- "webAccessUris": { # The web URIs for the training job. Currently for debug terminal access to the job. Only set for in-progress hyperparameter tuning trials with web access enabled.
+ "webAccessUris": { # URIs for accessing [interactive shells](https://cloud.google.com/ai-platform/training/docs/monitor-debug-interactive-shell) (one URI for each training node). Only available if this trial is part of a hyperparameter tuning job and the job's training_input.enable_web_access is `true`. The keys are names of each node in the training job; for example, `master-replica-0` for the master node, `worker-replica-0` for the first worker, and `ps-replica-0` for the first parameter server. The values are the URIs for each node's interactive shell.
"a_key": "A String",
},
},
],
- "webAccessUris": { # Output only. The web URIs for the training job. Currently for debug terminal access to the job.
+ "webAccessUris": { # Output only. URIs for accessing [interactive shells](https://cloud.google.com/ai-platform/training/docs/monitor-debug-interactive-shell) (one URI for each training node). Only available if training_input.enable_web_access is `true`. The keys are names of each node in the training job; for example, `master-replica-0` for the master node, `worker-replica-0` for the first worker, and `ps-replica-0` for the first parameter server. The values are the URIs for each node's interactive shell.
"a_key": "A String",
},
},
@@ -1367,7 +1367,7 @@
"args": [ # Optional. Command-line arguments passed to the training application when it starts. If your job uses a custom container, then the arguments are passed to the container's `ENTRYPOINT` command.
"A String",
],
- "enableWebAccess": True or False, # Optional. Whether to enable web access for the training job.
+ "enableWebAccess": True or False, # Optional. Whether you want AI Platform Training to enable [interactive shell access](https://cloud.google.com/ai-platform/training/docs/monitor-debug-interactive-shell) to training containers. If set to `true`, you can access interactive shells at the URIs given by TrainingOutput.web_access_uris or HyperparameterOutput.web_access_uris (within TrainingOutput.trials).
"encryptionConfig": { # Represents a custom encryption key configuration that can be applied to a resource. # Optional. Options for using customer-managed encryption keys (CMEK) to protect resources created by a training job, instead of using Google's default encryption. If this is set, then all resources created by the training job will be encrypted with the customer-managed encryption key that you specify. [Learn how and when to use CMEK with AI Platform Training](/ai-platform/training/docs/cmek).
"kmsKeyName": "A String", # The Cloud KMS resource identifier of the customer-managed encryption key used to protect a resource, such as a training job. It has the following format: `projects/{PROJECT_ID}/locations/{REGION}/keyRings/{KEY_RING_NAME}/cryptoKeys/{KEY_NAME}`
},
@@ -1531,12 +1531,12 @@
"startTime": "A String", # Output only. Start time for the trial.
"state": "A String", # Output only. The detailed state of the trial.
"trialId": "A String", # The trial id for these results.
- "webAccessUris": { # The web URIs for the training job. Currently for debug terminal access to the job. Only set for in-progress hyperparameter tuning trials with web access enabled.
+ "webAccessUris": { # URIs for accessing [interactive shells](https://cloud.google.com/ai-platform/training/docs/monitor-debug-interactive-shell) (one URI for each training node). Only available if this trial is part of a hyperparameter tuning job and the job's training_input.enable_web_access is `true`. The keys are names of each node in the training job; for example, `master-replica-0` for the master node, `worker-replica-0` for the first worker, and `ps-replica-0` for the first parameter server. The values are the URIs for each node's interactive shell.
"a_key": "A String",
},
},
],
- "webAccessUris": { # Output only. The web URIs for the training job. Currently for debug terminal access to the job.
+ "webAccessUris": { # Output only. URIs for accessing [interactive shells](https://cloud.google.com/ai-platform/training/docs/monitor-debug-interactive-shell) (one URI for each training node). Only available if training_input.enable_web_access is `true`. The keys are names of each node in the training job; for example, `master-replica-0` for the master node, `worker-replica-0` for the first worker, and `ps-replica-0` for the first parameter server. The values are the URIs for each node's interactive shell.
"a_key": "A String",
},
},