Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelMonitoringInput
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelMonitoringInput
- 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
Model monitoring data input spec.
Instance Attribute Summary collapse
-
#batch_prediction_output ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelMonitoringInputBatchPredictionOutput
Data from Vertex AI Batch prediction job output.
-
#columnized_dataset ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelMonitoringInputModelMonitoringDataset
Input dataset spec.
-
#time_interval ⇒ Google::Apis::AiplatformV1beta1::GoogleTypeInterval
Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive).
-
#time_offset ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelMonitoringInputTimeOffset
Time offset setting.
-
#vertex_endpoint_logs ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelMonitoringInputVertexEndpointLogs
Data from Vertex AI Endpoint request response logging.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1ModelMonitoringInput
constructor
A new instance of GoogleCloudAiplatformV1beta1ModelMonitoringInput.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1ModelMonitoringInput
Returns a new instance of GoogleCloudAiplatformV1beta1ModelMonitoringInput.
16919 16920 16921 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 16919 def initialize(**args) update!(**args) end |
Instance Attribute Details
#batch_prediction_output ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelMonitoringInputBatchPredictionOutput
Data from Vertex AI Batch prediction job output.
Corresponds to the JSON property batchPredictionOutput
16894 16895 16896 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 16894 def batch_prediction_output @batch_prediction_output end |
#columnized_dataset ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelMonitoringInputModelMonitoringDataset
Input dataset spec.
Corresponds to the JSON property columnizedDataset
16899 16900 16901 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 16899 def columnized_dataset @columnized_dataset end |
#time_interval ⇒ Google::Apis::AiplatformV1beta1::GoogleTypeInterval
Represents a time interval, encoded as a Timestamp start (inclusive) and a
Timestamp end (exclusive). The start must be less than or equal to the end.
When the start equals the end, the interval is empty (matches no time). When
both start and end are unspecified, the interval matches any time.
Corresponds to the JSON property timeInterval
16907 16908 16909 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 16907 def time_interval @time_interval end |
#time_offset ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelMonitoringInputTimeOffset
Time offset setting.
Corresponds to the JSON property timeOffset
16912 16913 16914 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 16912 def time_offset @time_offset end |
#vertex_endpoint_logs ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelMonitoringInputVertexEndpointLogs
Data from Vertex AI Endpoint request response logging.
Corresponds to the JSON property vertexEndpointLogs
16917 16918 16919 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 16917 def vertex_endpoint_logs @vertex_endpoint_logs end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
16924 16925 16926 16927 16928 16929 16930 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 16924 def update!(**args) @batch_prediction_output = args[:batch_prediction_output] if args.key?(:batch_prediction_output) @columnized_dataset = args[:columnized_dataset] if args.key?(:columnized_dataset) @time_interval = args[:time_interval] if args.key?(:time_interval) @time_offset = args[:time_offset] if args.key?(:time_offset) @vertex_endpoint_logs = args[:vertex_endpoint_logs] if args.key?(:vertex_endpoint_logs) end |