GoogleCloudAiplatformV1Model class

A trained machine learning Model.

Constructors

GoogleCloudAiplatformV1Model({String? artifactUri, GoogleCloudAiplatformV1ModelBaseModelSource? baseModelSource, GoogleCloudAiplatformV1ModelContainerSpec? containerSpec, String? createTime, GoogleCloudAiplatformV1ModelDataStats? dataStats, List<GoogleCloudAiplatformV1DeployedModelRef>? deployedModels, String? description, String? displayName, GoogleCloudAiplatformV1EncryptionSpec? encryptionSpec, String? etag, GoogleCloudAiplatformV1ExplanationSpec? explanationSpec, Map<String, String>? labels, Object? metadata, String? metadataArtifact, String? metadataSchemaUri, GoogleCloudAiplatformV1ModelSourceInfo? modelSourceInfo, String? name, GoogleCloudAiplatformV1ModelOriginalModelInfo? originalModelInfo, String? pipelineJob, GoogleCloudAiplatformV1PredictSchemata? predictSchemata, List<String>? supportedDeploymentResourcesTypes, List<GoogleCloudAiplatformV1ModelExportFormat>? supportedExportFormats, List<String>? supportedInputStorageFormats, List<String>? supportedOutputStorageFormats, String? trainingPipeline, String? updateTime, List<String>? versionAliases, String? versionCreateTime, String? versionDescription, String? versionId, String? versionUpdateTime})

GoogleCloudAiplatformV1Model.fromJson(Map json_)

Properties

artifactUri ↔ String?

The path to the directory containing the Model artifact and any of its supporting files.

getter/setter pair

baseModelSource ↔ GoogleCloudAiplatformV1ModelBaseModelSource?

User input field to specify the base model source.

getter/setter pair

containerSpec ↔ GoogleCloudAiplatformV1ModelContainerSpec?

Input only.

getter/setter pair

createTime ↔ String?

Timestamp when this Model was uploaded into Vertex AI.

getter/setter pair

dataStats ↔ GoogleCloudAiplatformV1ModelDataStats?

Stats of data used for training or evaluating the Model.

getter/setter pair

deployedModels ↔ List<GoogleCloudAiplatformV1DeployedModelRef>?

The pointers to DeployedModels created from this Model.

getter/setter pair

description ↔ String?

The description of the Model.

getter/setter pair

displayName ↔ String?

The display name of the Model.

getter/setter pair

encryptionSpec ↔ GoogleCloudAiplatformV1EncryptionSpec?

Customer-managed encryption key spec for a Model.

getter/setter pair

etag ↔ String?

Used to perform consistent read-modify-write updates.

getter/setter pair

explanationSpec ↔ GoogleCloudAiplatformV1ExplanationSpec?

The default explanation specification for this Model.

getter/setter pair

hashCode → int

The hash code for this object.

no setter, inherited

labels ↔ Map<String, String>?

The labels with user-defined metadata to organize your Models.

getter/setter pair

metadata ↔ Object?

An additional information about the Model; the schema of the metadata can be found in metadata_schema.

getter/setter pair

metadataArtifact ↔ String?

The resource name of the Artifact that was created in MetadataStore when creating the Model.

getter/setter pair

metadataSchemaUri ↔ String?

Points to a YAML file stored on Google Cloud Storage describing additional information about the Model, that is specific to it.

getter/setter pair

modelSourceInfo ↔ GoogleCloudAiplatformV1ModelSourceInfo?

Source of a model.

getter/setter pair

name ↔ String?

The resource name of the Model.

getter/setter pair

originalModelInfo ↔ GoogleCloudAiplatformV1ModelOriginalModelInfo?

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

getter/setter pair

pipelineJob ↔ String?

This field is populated if the model is produced by a pipeline job.

getter/setter pair

predictSchemata ↔ GoogleCloudAiplatformV1PredictSchemata?

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

getter/setter pair

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

supportedDeploymentResourcesTypes ↔ List<String>?

When this Model is deployed, its prediction resources are described by the prediction_resources field of the Endpoint.deployed_models object.

getter/setter pair

supportedExportFormats ↔ List<GoogleCloudAiplatformV1ModelExportFormat>?

The formats in which this Model may be exported.

getter/setter pair

supportedInputStorageFormats ↔ List<String>?

The formats this Model supports in BatchPredictionJob.input_config.

getter/setter pair

supportedOutputStorageFormats ↔ List<String>?

The formats this Model supports in BatchPredictionJob.output_config.

getter/setter pair

trainingPipeline ↔ String?

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

getter/setter pair

updateTime ↔ String?

Timestamp when this Model was most recently updated.

getter/setter pair

versionAliases ↔ List<String>?

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}).

getter/setter pair

versionCreateTime ↔ String?

Timestamp when this version was created.

getter/setter pair

versionDescription ↔ String?

The description of this version.

getter/setter pair

versionId ↔ String?

The version ID of the model.

getter/setter pair

versionUpdateTime ↔ String?

Timestamp when this version was most recently updated.

getter/setter pair

Methods

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

toJson() → Map<String, dynamic>

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited