GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingDataset class

Training Dataset information.

Constructors

GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingDataset({Input<GoogleCloudAiplatformV1BigQuerySource>? bigquerySource, Input<String>? dataFormat, Input<String>? dataset, Input<GoogleCloudAiplatformV1GcsSource>? gcsSource, Input<GoogleCloudAiplatformV1SamplingStrategy>? loggingSamplingStrategy, Input<String>? targetField})

Creates a new GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingDataset. bigquerySource The BigQuery table of the unmanaged Dataset used to train this Model. dataFormat 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. dataset The resource name of the Dataset used to train this Model. gcsSource The Google Cloud Storage uri of the unmanaged Dataset used to train this Model. loggingSamplingStrategy Strategy to sample data from Training Dataset. If not set, we process the whole dataset. targetField The target field name the model is to predict. This field will be excluded when doing Predict and (or) Explain for the training data.

const

GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingDataset.fromMap(Map<String, dynamic> map)

factory

Properties

bigquerySource → Input<GoogleCloudAiplatformV1BigQuerySource>?

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

final

dataFormat → Input<String>?

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.

final

dataset → Input<String>?

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

final

gcsSource → Input<GoogleCloudAiplatformV1GcsSource>?

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

final

hashCode → int

The hash code for this object.

no setter, inherited

loggingSamplingStrategy → Input<GoogleCloudAiplatformV1SamplingStrategy>?

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

final

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

targetField → Input<String>?

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

final

Methods

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

toMap() → Map<String, dynamic>

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited