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.
12543 12544 12545 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12543 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
12521 12522 12523 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12521 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
12531 12532 12533 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12531 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
12536 12537 12538 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12536 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
12541 12542 12543 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12541 def stats_anomalies_base_directory @stats_anomalies_base_directory end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
12548 12549 12550 12551 12552 12553 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12548 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 |