Class GoogleCloudAiplatformV1beta1Model

A trained machine learning Model.

Inheritance
object
GoogleCloudAiplatformV1beta1Model
Implements
Inherited Members
Namespace: Google.Apis.Aiplatform.v1beta1.Data
Assembly: Google.Apis.Aiplatform.v1beta1.dll
Syntax
public class GoogleCloudAiplatformV1beta1Model : IDirectResponseSchema

Properties

ArtifactUri

Immutable. The path to the directory containing the Model artifact and any of its supporting files. Not required for AutoML Models.

Declaration
[JsonProperty("artifactUri")]
public virtual string ArtifactUri { get; set; }
Property Value
Type Description
string

BaseModelSource

Optional. User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models.

Declaration
[JsonProperty("baseModelSource")]
public virtual GoogleCloudAiplatformV1beta1ModelBaseModelSource BaseModelSource { get; set; }
Property Value
Type Description
GoogleCloudAiplatformV1beta1ModelBaseModelSource

ContainerSpec

Input only. The specification of the container that is to be used when deploying this Model. The specification is ingested upon ModelService.UploadModel, and all binaries it contains are copied and stored internally by Vertex AI. Not required for AutoML Models.

Declaration
[JsonProperty("containerSpec")]
public virtual GoogleCloudAiplatformV1beta1ModelContainerSpec ContainerSpec { get; set; }
Property Value
Type Description
GoogleCloudAiplatformV1beta1ModelContainerSpec

CreateTime

object representation of CreateTimeRaw.

Declaration
[JsonIgnore]
[Obsolete("This property is obsolete and may behave unexpectedly; please use CreateTimeDateTimeOffset instead.")]
public virtual object CreateTime { get; set; }
Property Value
Type Description
object

CreateTimeDateTimeOffset

DateTimeOffset representation of CreateTimeRaw.

Declaration
[JsonIgnore]
public virtual DateTimeOffset? CreateTimeDateTimeOffset { get; set; }
Property Value
Type Description
DateTimeOffset?

CreateTimeRaw

Output only. Timestamp when this Model was uploaded into Vertex AI.

Declaration
[JsonProperty("createTime")]
public virtual string CreateTimeRaw { get; set; }
Property Value
Type Description
string

DeployedModels

Output only. The pointers to DeployedModels created from this Model. Note that Model could have been deployed to Endpoints in different Locations.

Declaration
[JsonProperty("deployedModels")]
public virtual IList<GoogleCloudAiplatformV1beta1DeployedModelRef> DeployedModels { get; set; }
Property Value
Type Description
IList<GoogleCloudAiplatformV1beta1DeployedModelRef>

Description

The description of the Model.

Declaration
[JsonProperty("description")]
public virtual string Description { get; set; }
Property Value
Type Description
string

DisplayName

Required. The display name of the Model. The name can be up to 128 characters long and can consist of any UTF-8 characters.

Declaration
[JsonProperty("displayName")]
public virtual string DisplayName { get; set; }
Property Value
Type Description
string

ETag

Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

Declaration
[JsonProperty("etag")]
public virtual string ETag { get; set; }
Property Value
Type Description
string

EncryptionSpec

Customer-managed encryption key spec for a Model. If set, this Model and all sub-resources of this Model will be secured by this key.

Declaration
[JsonProperty("encryptionSpec")]
public virtual GoogleCloudAiplatformV1beta1EncryptionSpec EncryptionSpec { get; set; }
Property Value
Type Description
GoogleCloudAiplatformV1beta1EncryptionSpec

ExplanationSpec

The default explanation specification for this Model. The Model can be used for requesting explanation after being deployed if it is populated. The Model can be used for batch explanation if it is populated. All fields of the explanation_spec can be overridden by explanation_spec of DeployModelRequest.deployed_model, or explanation_spec of BatchPredictionJob. If the default explanation specification is not set for this Model, this Model can still be used for requesting explanation by setting explanation_spec of DeployModelRequest.deployed_model and for batch explanation by setting explanation_spec of BatchPredictionJob.

Declaration
[JsonProperty("explanationSpec")]
public virtual GoogleCloudAiplatformV1beta1ExplanationSpec ExplanationSpec { get; set; }
Property Value
Type Description
GoogleCloudAiplatformV1beta1ExplanationSpec

Labels

The labels with user-defined metadata to organize your Models. 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. See https://goo.gl/xmQnxf for more information and examples of labels.

Declaration
[JsonProperty("labels")]
public virtual IDictionary<string, string> Labels { get; set; }
Property Value
Type Description
IDictionary<string, string>

Metadata

Immutable. An additional information about the Model; the schema of the metadata can be found in metadata_schema. Unset if the Model does not have any additional information.

Declaration
[JsonProperty("metadata")]
public virtual object Metadata { get; set; }
Property Value
Type Description
object

MetadataArtifact

Output only. The resource name of the Artifact that was created in MetadataStore when creating the Model. The Artifact resource name pattern is projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}.

Declaration
[JsonProperty("metadataArtifact")]
public virtual string MetadataArtifact { get; set; }
Property Value
Type Description
string

MetadataSchemaUri

Immutable. Points to a YAML file stored on Google Cloud Storage describing additional information about the Model, that is specific to it. Unset if the Model does not have any additional information. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML Models always have this field populated by Vertex AI, if no additional metadata is needed, this field is set to an empty string. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.

Declaration
[JsonProperty("metadataSchemaUri")]
public virtual string MetadataSchemaUri { get; set; }
Property Value
Type Description
string

ModelSourceInfo

Output only. Source of a model. It can either be automl training pipeline, custom training pipeline, BigQuery ML, or saved and tuned from Genie or Model Garden.

Declaration
[JsonProperty("modelSourceInfo")]
public virtual GoogleCloudAiplatformV1beta1ModelSourceInfo ModelSourceInfo { get; set; }
Property Value
Type Description
GoogleCloudAiplatformV1beta1ModelSourceInfo

Name

The resource name of the Model.

Declaration
[JsonProperty("name")]
public virtual string Name { get; set; }
Property Value
Type Description
string

OriginalModelInfo

Output only. If this Model is a copy of another Model, this contains info about the original.

Declaration
[JsonProperty("originalModelInfo")]
public virtual GoogleCloudAiplatformV1beta1ModelOriginalModelInfo OriginalModelInfo { get; set; }
Property Value
Type Description
GoogleCloudAiplatformV1beta1ModelOriginalModelInfo

PredictSchemata

The schemata that describe formats of the Model's predictions and explanations as given and returned via PredictionService.Predict and PredictionService.Explain.

Declaration
[JsonProperty("predictSchemata")]
public virtual GoogleCloudAiplatformV1beta1PredictSchemata PredictSchemata { get; set; }
Property Value
Type Description
GoogleCloudAiplatformV1beta1PredictSchemata

SatisfiesPzi

Output only. Reserved for future use.

Declaration
[JsonProperty("satisfiesPzi")]
public virtual bool? SatisfiesPzi { get; set; }
Property Value
Type Description
bool?

SatisfiesPzs

Output only. Reserved for future use.

Declaration
[JsonProperty("satisfiesPzs")]
public virtual bool? SatisfiesPzs { get; set; }
Property Value
Type Description
bool?

SupportedDeploymentResourcesTypes

Output only. When this Model is deployed, its prediction resources are described by the prediction_resources field of the Endpoint.deployed_models object. Because not all Models support all resource configuration types, the configuration types this Model supports are listed here. If no configuration types are listed, the Model cannot be deployed to an Endpoint and does not support online predictions (PredictionService.Predict or PredictionService.Explain). Such a Model can serve predictions by using a BatchPredictionJob, if it has at least one entry each in supported_input_storage_formats and supported_output_storage_formats.

Declaration
[JsonProperty("supportedDeploymentResourcesTypes")]
public virtual IList<string> SupportedDeploymentResourcesTypes { get; set; }
Property Value
Type Description
IList<string>

SupportedExportFormats

Output only. The formats in which this Model may be exported. If empty, this Model is not available for export.

Declaration
[JsonProperty("supportedExportFormats")]
public virtual IList<GoogleCloudAiplatformV1beta1ModelExportFormat> SupportedExportFormats { get; set; }
Property Value
Type Description
IList<GoogleCloudAiplatformV1beta1ModelExportFormat>

SupportedInputStorageFormats

Output only. The formats this Model supports in BatchPredictionJob.input_config. If PredictSchemata.instance_schema_uri exists, the instances should be given as per that schema. The possible formats are: * jsonl The JSON Lines format, where each instance is a single line. Uses GcsSource. * csv The CSV format, where each instance is a single comma-separated line. The first line in the file is the header, containing comma-separated field names. Uses GcsSource. * tf-record The TFRecord format, where each instance is a single record in tfrecord syntax. Uses GcsSource. * tf-record-gzip Similar to tf-record, but the file is gzipped. Uses GcsSource. * bigquery Each instance is a single row in BigQuery. Uses BigQuerySource. * file-list Each line of the file is the location of an instance to process, uses gcs_source field of the InputConfig object. If this Model doesn't support any of these formats it means it cannot be used with a BatchPredictionJob. However, if it has supported_deployment_resources_types, it could serve online predictions by using PredictionService.Predict or PredictionService.Explain.

Declaration
[JsonProperty("supportedInputStorageFormats")]
public virtual IList<string> SupportedInputStorageFormats { get; set; }
Property Value
Type Description
IList<string>

SupportedOutputStorageFormats

Output only. The formats this Model supports in BatchPredictionJob.output_config. If both PredictSchemata.instance_schema_uri and PredictSchemata.prediction_schema_uri exist, the predictions are returned together with their instances. In other words, the prediction has the original instance data first, followed by the actual prediction content (as per the schema). The possible formats are: * jsonl The JSON Lines format, where each prediction is a single line. Uses GcsDestination. * csv The CSV format, where each prediction is a single comma-separated line. The first line in the file is the header, containing comma-separated field names. Uses GcsDestination. * bigquery Each prediction is a single row in a BigQuery table, uses BigQueryDestination . If this Model doesn't support any of these formats it means it cannot be used with a BatchPredictionJob. However, if it has supported_deployment_resources_types, it could serve online predictions by using PredictionService.Predict or PredictionService.Explain.

Declaration
[JsonProperty("supportedOutputStorageFormats")]
public virtual IList<string> SupportedOutputStorageFormats { get; set; }
Property Value
Type Description
IList<string>

TrainingPipeline

Output only. The resource name of the TrainingPipeline that uploaded this Model, if any.

Declaration
[JsonProperty("trainingPipeline")]
public virtual string TrainingPipeline { get; set; }
Property Value
Type Description
string

UpdateTime

object representation of UpdateTimeRaw.

Declaration
[JsonIgnore]
[Obsolete("This property is obsolete and may behave unexpectedly; please use UpdateTimeDateTimeOffset instead.")]
public virtual object UpdateTime { get; set; }
Property Value
Type Description
object

UpdateTimeDateTimeOffset

DateTimeOffset representation of UpdateTimeRaw.

Declaration
[JsonIgnore]
public virtual DateTimeOffset? UpdateTimeDateTimeOffset { get; set; }
Property Value
Type Description
DateTimeOffset?

UpdateTimeRaw

Output only. Timestamp when this Model was most recently updated.

Declaration
[JsonProperty("updateTime")]
public virtual string UpdateTimeRaw { get; set; }
Property Value
Type Description
string

VersionAliases

User provided version aliases so that a model version can be referenced via alias (i.e. projects/{project}/locations/{location}/models/{model_id}@{version_alias} instead of auto-generated version id (i.e. projects/{project}/locations/{location}/models/{model_id}@{version_id}). The format is a-z{0,126}[a-z0-9] to distinguish from version_id. A default version alias will be created for the first version of the model, and there must be exactly one default version alias for a model.

Declaration
[JsonProperty("versionAliases")]
public virtual IList<string> VersionAliases { get; set; }
Property Value
Type Description
IList<string>

VersionCreateTime

object representation of VersionCreateTimeRaw.

Declaration
[JsonIgnore]
[Obsolete("This property is obsolete and may behave unexpectedly; please use VersionCreateTimeDateTimeOffset instead.")]
public virtual object VersionCreateTime { get; set; }
Property Value
Type Description
object

VersionCreateTimeDateTimeOffset

DateTimeOffset representation of VersionCreateTimeRaw.

Declaration
[JsonIgnore]
public virtual DateTimeOffset? VersionCreateTimeDateTimeOffset { get; set; }
Property Value
Type Description
DateTimeOffset?

VersionCreateTimeRaw

Output only. Timestamp when this version was created.

Declaration
[JsonProperty("versionCreateTime")]
public virtual string VersionCreateTimeRaw { get; set; }
Property Value
Type Description
string

VersionDescription

The description of this version.

Declaration
[JsonProperty("versionDescription")]
public virtual string VersionDescription { get; set; }
Property Value
Type Description
string

VersionId

Output only. Immutable. The version ID of the model. A new version is committed when a new model version is uploaded or trained under an existing model id. It is an auto-incrementing decimal number in string representation.

Declaration
[JsonProperty("versionId")]
public virtual string VersionId { get; set; }
Property Value
Type Description
string

VersionUpdateTime

object representation of VersionUpdateTimeRaw.

Declaration
[JsonIgnore]
[Obsolete("This property is obsolete and may behave unexpectedly; please use VersionUpdateTimeDateTimeOffset instead.")]
public virtual object VersionUpdateTime { get; set; }
Property Value
Type Description
object

VersionUpdateTimeDateTimeOffset

DateTimeOffset representation of VersionUpdateTimeRaw.

Declaration
[JsonIgnore]
public virtual DateTimeOffset? VersionUpdateTimeDateTimeOffset { get; set; }
Property Value
Type Description
DateTimeOffset?

VersionUpdateTimeRaw

Output only. Timestamp when this version was most recently updated.

Declaration
[JsonProperty("versionUpdateTime")]
public virtual string VersionUpdateTimeRaw { get; set; }
Property Value
Type Description
string

Implements