Class: Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::TrainingDataset
- Inherits:
-
Object
- Object
- Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::TrainingDataset
- Extended by:
- Protobuf::MessageExts::ClassMethods
- Includes:
- Protobuf::MessageExts
- Defined in:
- proto_docs/google/cloud/aiplatform/v1/model_monitoring.rb
Overview
Training Dataset information.
Instance Attribute Summary collapse
-
#bigquery_source ⇒ ::Google::Cloud::AIPlatform::V1::BigQuerySource
The BigQuery table of the unmanaged Dataset used to train this Model.
-
#data_format ⇒ ::String
Data format of the dataset, only applicable if the input is from Google Cloud Storage.
-
#dataset ⇒ ::String
The resource name of the Dataset used to train this Model.
-
#gcs_source ⇒ ::Google::Cloud::AIPlatform::V1::GcsSource
The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
-
#logging_sampling_strategy ⇒ ::Google::Cloud::AIPlatform::V1::SamplingStrategy
Strategy to sample data from Training Dataset.
-
#target_field ⇒ ::String
The target field name the model is to predict.
Instance Attribute Details
#bigquery_source ⇒ ::Google::Cloud::AIPlatform::V1::BigQuerySource
Returns The BigQuery table of the unmanaged Dataset used to train this Model.
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# File 'proto_docs/google/cloud/aiplatform/v1/model_monitoring.rb', line 77 class TrainingDataset include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |
#data_format ⇒ ::String
Returns Data format of the dataset, only applicable if the input is from Google Cloud Storage. The possible formats are:
"tf-record" The source file is a TFRecord file.
"csv" The source file is a CSV file. "jsonl" The source file is a JSONL file.
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# File 'proto_docs/google/cloud/aiplatform/v1/model_monitoring.rb', line 77 class TrainingDataset include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |
#dataset ⇒ ::String
Returns The resource name of the Dataset used to train this Model.
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# File 'proto_docs/google/cloud/aiplatform/v1/model_monitoring.rb', line 77 class TrainingDataset include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |
#gcs_source ⇒ ::Google::Cloud::AIPlatform::V1::GcsSource
Returns The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
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# File 'proto_docs/google/cloud/aiplatform/v1/model_monitoring.rb', line 77 class TrainingDataset include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |
#logging_sampling_strategy ⇒ ::Google::Cloud::AIPlatform::V1::SamplingStrategy
Returns Strategy to sample data from Training Dataset. If not set, we process the whole dataset.
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# File 'proto_docs/google/cloud/aiplatform/v1/model_monitoring.rb', line 77 class TrainingDataset include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |
#target_field ⇒ ::String
Returns The target field name the model is to predict. This field will be excluded when doing Predict and (or) Explain for the training data.
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# File 'proto_docs/google/cloud/aiplatform/v1/model_monitoring.rb', line 77 class TrainingDataset include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |