Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelMonitoringConfig
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelMonitoringConfig
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb
Overview
The model monitoring configuration used for Batch Prediction Job.
Instance Attribute Summary collapse
-
#alert_config ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelMonitoringAlertConfig
Model monitoring alert config.
-
#analysis_instance_schema_uri ⇒ String
YAML schema file uri in Cloud Storage describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze.
-
#objective_configs ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveConfig>
Model monitoring objective config.
-
#stats_anomalies_base_directory ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GcsDestination
The Google Cloud Storage location where the output is to be written to.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1ModelMonitoringConfig
constructor
A new instance of GoogleCloudAiplatformV1beta1ModelMonitoringConfig.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1ModelMonitoringConfig
Returns a new instance of GoogleCloudAiplatformV1beta1ModelMonitoringConfig.
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12501 def initialize(**args) update!(**args) end |
Instance Attribute Details
#alert_config ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelMonitoringAlertConfig
Model monitoring alert config.
Corresponds to the JSON property alertConfig
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12479 def alert_config @alert_config end |
#analysis_instance_schema_uri ⇒ String
YAML schema file uri in Cloud Storage describing the format of a single
instance that you want Tensorflow Data Validation (TFDV) to analyze. If there
are any data type differences between predict instance and TFDV instance, this
field can be used to override the schema. For models trained with Vertex AI,
this field must be set as all the fields in predict instance formatted as
string.
Corresponds to the JSON property analysisInstanceSchemaUri
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12489 def analysis_instance_schema_uri @analysis_instance_schema_uri end |
#objective_configs ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveConfig>
Model monitoring objective config.
Corresponds to the JSON property objectiveConfigs
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12494 def objective_configs @objective_configs end |
#stats_anomalies_base_directory ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GcsDestination
The Google Cloud Storage location where the output is to be written to.
Corresponds to the JSON property statsAnomaliesBaseDirectory
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12499 def stats_anomalies_base_directory @stats_anomalies_base_directory end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12506 def update!(**args) @alert_config = args[:alert_config] if args.key?(:alert_config) @analysis_instance_schema_uri = args[:analysis_instance_schema_uri] if args.key?(:analysis_instance_schema_uri) @objective_configs = args[:objective_configs] if args.key?(:objective_configs) @stats_anomalies_base_directory = args[:stats_anomalies_base_directory] if args.key?(:stats_anomalies_base_directory) end |