Vertex AI API . projects . locations . featureGroups . featureMonitors

Instance Methods

featureMonitorJobs()

Returns the featureMonitorJobs Resource.

close()

Close httplib2 connections.

create(parent, body=None, featureMonitorId=None, x__xgafv=None)

Creates a new FeatureMonitor in a given project, location and FeatureGroup.

delete(name, x__xgafv=None)

Deletes a single FeatureMonitor.

get(name, x__xgafv=None)

Gets details of a single FeatureMonitor.

list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)

Lists FeatureGroups in a given project and location.

list_next()

Retrieves the next page of results.

Method Details

close()
Close httplib2 connections.
create(parent, body=None, featureMonitorId=None, x__xgafv=None)
Creates a new FeatureMonitor in a given project, location and FeatureGroup.

Args:
  parent: string, Required. The resource name of FeatureGroup to create FeatureMonitor. Format: `projects/{project}/locations/{location}/featureGroups/{featuregroup}` (required)
  body: object, The request body.
    The object takes the form of:

{ # Vertex AI Feature Monitor.
  "createTime": "A String", # Output only. Timestamp when this FeatureMonitor was created.
  "description": "A String", # Optional. Description of the FeatureMonitor.
  "etag": "A String", # Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
  "featureSelectionConfig": { # Feature selection configuration for the FeatureMonitor. # Required. Feature selection config for the FeatureMonitor.
    "featureConfigs": [ # Optional. A list of features to be monitored and each feature's drift threshold.
      { # Feature configuration.
        "driftThreshold": 3.14, # Optional. Drift threshold. If calculated difference with baseline data larger than threshold, it will be considered as the feature has drift. If not present, the threshold will be default to 0.3.
        "featureId": "A String", # Required. The ID of the feature resource. Final component of the Feature's resource name.
      },
    ],
  },
  "labels": { # Optional. The labels with user-defined metadata to organize your FeatureMonitor. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one FeatureMonitor(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
    "a_key": "A String",
  },
  "name": "A String", # Identifier. Name of the FeatureMonitor. Format: `projects/{project}/locations/{location}/featureGroups/{featureGroup}/featureMonitors/{featureMonitor}`
  "scheduleConfig": { # Schedule configuration for the FeatureMonitor. # Required. Schedule config for the FeatureMonitor.
    "cron": "A String", # Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *".
  },
  "updateTime": "A String", # Output only. Timestamp when this FeatureMonitor was last updated.
}

  featureMonitorId: string, Required. The ID to use for this FeatureMonitor, which will become the final component of the FeatureGroup's resource name. This value may be up to 60 characters, and valid characters are `[a-z0-9_]`. The first character cannot be a number. The value must be unique within the FeatureGroup.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # This resource represents a long-running operation that is the result of a network API call.
  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
      {
        "a_key": "", # Properties of the object. Contains field @type with type URL.
      },
    ],
    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  },
  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    "a_key": "", # Properties of the object. Contains field @type with type URL.
  },
  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
    "a_key": "", # Properties of the object. Contains field @type with type URL.
  },
}
delete(name, x__xgafv=None)
Deletes a single FeatureMonitor.

Args:
  name: string, Required. The name of the FeatureMonitor to be deleted. Format: `projects/{project}/locations/{location}/featureGroups/{feature_group}/featureMonitors/{feature_monitor}` (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # This resource represents a long-running operation that is the result of a network API call.
  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
      {
        "a_key": "", # Properties of the object. Contains field @type with type URL.
      },
    ],
    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  },
  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    "a_key": "", # Properties of the object. Contains field @type with type URL.
  },
  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
    "a_key": "", # Properties of the object. Contains field @type with type URL.
  },
}
get(name, x__xgafv=None)
Gets details of a single FeatureMonitor.

Args:
  name: string, Required. The name of the FeatureMonitor resource. (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Vertex AI Feature Monitor.
  "createTime": "A String", # Output only. Timestamp when this FeatureMonitor was created.
  "description": "A String", # Optional. Description of the FeatureMonitor.
  "etag": "A String", # Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
  "featureSelectionConfig": { # Feature selection configuration for the FeatureMonitor. # Required. Feature selection config for the FeatureMonitor.
    "featureConfigs": [ # Optional. A list of features to be monitored and each feature's drift threshold.
      { # Feature configuration.
        "driftThreshold": 3.14, # Optional. Drift threshold. If calculated difference with baseline data larger than threshold, it will be considered as the feature has drift. If not present, the threshold will be default to 0.3.
        "featureId": "A String", # Required. The ID of the feature resource. Final component of the Feature's resource name.
      },
    ],
  },
  "labels": { # Optional. The labels with user-defined metadata to organize your FeatureMonitor. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one FeatureMonitor(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
    "a_key": "A String",
  },
  "name": "A String", # Identifier. Name of the FeatureMonitor. Format: `projects/{project}/locations/{location}/featureGroups/{featureGroup}/featureMonitors/{featureMonitor}`
  "scheduleConfig": { # Schedule configuration for the FeatureMonitor. # Required. Schedule config for the FeatureMonitor.
    "cron": "A String", # Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *".
  },
  "updateTime": "A String", # Output only. Timestamp when this FeatureMonitor was last updated.
}
list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)
Lists FeatureGroups in a given project and location.

Args:
  parent: string, Required. The resource name of the FeatureGroup to list FeatureMonitors. Format: `projects/{project}/locations/{location}/featureGroups/{featureGroup}` (required)
  filter: string, Optional. Lists the FeatureMonitors that match the filter expression. The following fields are supported: * `create_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons. Values must be in RFC 3339 format. * `update_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons. Values must be in RFC 3339 format. * `labels`: Supports key-value equality and key presence. Examples: * `create_time > "2020-01-01" OR update_time > "2020-01-01"` FeatureMonitors created or updated after 2020-01-01. * `labels.env = "prod"` FeatureGroups with label "env" set to "prod".
  orderBy: string, Optional. A comma-separated list of fields to order by, sorted in ascending order. Use "desc" after a field name for descending. Supported Fields: * `create_time` * `update_time`
  pageSize: integer, Optional. The maximum number of FeatureGroups to return. The service may return fewer than this value. If unspecified, at most 100 FeatureMonitors will be returned. The maximum value is 100; any value greater than 100 will be coerced to 100.
  pageToken: string, Optional. A page token, received from a previous FeatureRegistryService.ListFeatureMonitors call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to FeatureRegistryService.ListFeatureMonitors must match the call that provided the page token.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Response message for FeatureRegistryService.ListFeatureMonitors.
  "featureMonitors": [ # The FeatureMonitors matching the request.
    { # Vertex AI Feature Monitor.
      "createTime": "A String", # Output only. Timestamp when this FeatureMonitor was created.
      "description": "A String", # Optional. Description of the FeatureMonitor.
      "etag": "A String", # Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
      "featureSelectionConfig": { # Feature selection configuration for the FeatureMonitor. # Required. Feature selection config for the FeatureMonitor.
        "featureConfigs": [ # Optional. A list of features to be monitored and each feature's drift threshold.
          { # Feature configuration.
            "driftThreshold": 3.14, # Optional. Drift threshold. If calculated difference with baseline data larger than threshold, it will be considered as the feature has drift. If not present, the threshold will be default to 0.3.
            "featureId": "A String", # Required. The ID of the feature resource. Final component of the Feature's resource name.
          },
        ],
      },
      "labels": { # Optional. The labels with user-defined metadata to organize your FeatureMonitor. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one FeatureMonitor(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
        "a_key": "A String",
      },
      "name": "A String", # Identifier. Name of the FeatureMonitor. Format: `projects/{project}/locations/{location}/featureGroups/{featureGroup}/featureMonitors/{featureMonitor}`
      "scheduleConfig": { # Schedule configuration for the FeatureMonitor. # Required. Schedule config for the FeatureMonitor.
        "cron": "A String", # Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *".
      },
      "updateTime": "A String", # Output only. Timestamp when this FeatureMonitor was last updated.
    },
  ],
  "nextPageToken": "A String", # A token, which can be sent as ListFeatureMonitorsRequest.page_token to retrieve the next page. If this field is omitted, there are no subsequent pages.
}
list_next()
Retrieves the next page of results.

        Args:
          previous_request: The request for the previous page. (required)
          previous_response: The response from the request for the previous page. (required)

        Returns:
          A request object that you can call 'execute()' on to request the next
          page. Returns None if there are no more items in the collection.