public sealed class Dataset : IMessage<Dataset>, IEquatable<Dataset>, IDeepCloneable<Dataset>, IBufferMessage, IMessage
A workspace for solving a single, particular machine learning (ML) problem. A workspace contains examples that may be annotated.
Implements
IMessage<Dataset>, IEquatable<Dataset>, IDeepCloneable<Dataset>, IBufferMessage, IMessageNamespace
Google.Cloud.AutoML.V1Assembly
Google.Cloud.AutoML.V1.dll
Constructors
Dataset()
public Dataset()
Dataset(Dataset)
public Dataset(Dataset other)
Name | Description |
other | Dataset |
Properties
CreateTime
public Timestamp CreateTime { get; set; }
Output only. Timestamp when this dataset was created.
Type | Description |
Timestamp |
DatasetMetadataCase
public Dataset.DatasetMetadataOneofCase DatasetMetadataCase { get; }
Type | Description |
Dataset.DatasetMetadataOneofCase |
DatasetName
public DatasetName DatasetName { get; set; }
DatasetName-typed view over the Name resource name property.
Type | Description |
DatasetName |
Description
public string Description { get; set; }
User-provided description of the dataset. The description can be up to 25000 characters long.
Type | Description |
String |
DisplayName
public string DisplayName { get; set; }
Required. The name of the dataset to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9.
Type | Description |
String |
Etag
public string Etag { get; set; }
Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
Type | Description |
String |
ExampleCount
public int ExampleCount { get; set; }
Output only. The number of examples in the dataset.
Type | Description |
Int32 |
ImageClassificationDatasetMetadata
public ImageClassificationDatasetMetadata ImageClassificationDatasetMetadata { get; set; }
Metadata for a dataset used for image classification.
Type | Description |
ImageClassificationDatasetMetadata |
ImageObjectDetectionDatasetMetadata
public ImageObjectDetectionDatasetMetadata ImageObjectDetectionDatasetMetadata { get; set; }
Metadata for a dataset used for image object detection.
Type | Description |
ImageObjectDetectionDatasetMetadata |
Labels
public MapField<string, string> Labels { get; }
Optional. The labels with user-defined metadata to organize your dataset.
Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.
See https://goo.gl/xmQnxf for more information on and examples of labels.
Type | Description |
MapField<String, String> |
Name
public string Name { get; set; }
Output only. The resource name of the dataset.
Form: projects/{project_id}/locations/{location_id}/datasets/{dataset_id}
Type | Description |
String |
TextClassificationDatasetMetadata
public TextClassificationDatasetMetadata TextClassificationDatasetMetadata { get; set; }
Metadata for a dataset used for text classification.
Type | Description |
TextClassificationDatasetMetadata |
TextExtractionDatasetMetadata
public TextExtractionDatasetMetadata TextExtractionDatasetMetadata { get; set; }
Metadata for a dataset used for text extraction.
Type | Description |
TextExtractionDatasetMetadata |
TextSentimentDatasetMetadata
public TextSentimentDatasetMetadata TextSentimentDatasetMetadata { get; set; }
Metadata for a dataset used for text sentiment.
Type | Description |
TextSentimentDatasetMetadata |
TranslationDatasetMetadata
public TranslationDatasetMetadata TranslationDatasetMetadata { get; set; }
Metadata for a dataset used for translation.
Type | Description |
TranslationDatasetMetadata |