Vertex AI v1 API - Class ModelMonitoringObjectiveConfig.Types.TrainingDataset (3.72.0) 

public sealed class ModelMonitoringObjectiveConfig.Types.TrainingDataset : IMessage<ModelMonitoringObjectiveConfig.Types.TrainingDataset>, IEquatable<ModelMonitoringObjectiveConfig.Types.TrainingDataset>, IDeepCloneable<ModelMonitoringObjectiveConfig.Types.TrainingDataset>, IBufferMessage, IMessage

Reference documentation and code samples for the Vertex AI v1 API class ModelMonitoringObjectiveConfig.Types.TrainingDataset.

Training Dataset information.

Inheritance

object > ModelMonitoringObjectiveConfig.Types.TrainingDataset

Namespace

Google.Cloud.AIPlatform.V1

Assembly

Google.Cloud.AIPlatform.V1.dll

Constructors

TrainingDataset()

public TrainingDataset()

TrainingDataset(TrainingDataset)

public TrainingDataset(ModelMonitoringObjectiveConfig.Types.TrainingDataset other)
Parameter
Name Description
other ModelMonitoringObjectiveConfigTypesTrainingDataset

Properties

BigquerySource

public BigQuerySource BigquerySource { get; set; }

The BigQuery table of the unmanaged Dataset used to train this Model.

Property Value
Type Description
BigQuerySource

DataFormat

public string DataFormat { get; set; }

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.

Property Value
Type Description
string

DataSourceCase

public ModelMonitoringObjectiveConfig.Types.TrainingDataset.DataSourceOneofCase DataSourceCase { get; }
Property Value
Type Description
ModelMonitoringObjectiveConfigTypesTrainingDatasetDataSourceOneofCase

Dataset

public string Dataset { get; set; }

The resource name of the Dataset used to train this Model.

Property Value
Type Description
string

DatasetAsDatasetName

public DatasetName DatasetAsDatasetName { get; set; }

DatasetName-typed view over the Dataset resource name property.

Property Value
Type Description
DatasetName

GcsSource

public GcsSource GcsSource { get; set; }

The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.

Property Value
Type Description
GcsSource

HasDataset

public bool HasDataset { get; }

Gets whether the "dataset" field is set

Property Value
Type Description
bool

LoggingSamplingStrategy

public SamplingStrategy LoggingSamplingStrategy { get; set; }

Strategy to sample data from Training Dataset. If not set, we process the whole dataset.

Property Value
Type Description
SamplingStrategy

TargetField

public string TargetField { get; set; }

The target field name the model is to predict. This field will be excluded when doing Predict and (or) Explain for the training data.

Property Value
Type Description
string