Class GoogleCloudAiplatformV1beta1TrainingPipeline

The TrainingPipeline orchestrates tasks associated with training a Model. It always executes the training task, and optionally may also export data from Vertex AI's Dataset which becomes the training input, upload the Model to Vertex AI, and evaluate the Model.

Inheritance

object

GoogleCloudAiplatformV1beta1TrainingPipeline

Implements

IDirectResponseSchema

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: Google.Apis.Aiplatform.v1beta1.Data

Assembly: Google.Apis.Aiplatform.v1beta1.dll

Syntax

public class GoogleCloudAiplatformV1beta1TrainingPipeline : IDirectResponseSchema

Properties

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[Obsolete("This property is obsolete and may behave unexpectedly; please use CreateTimeDateTimeOffset instead.")]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. Time when the TrainingPipeline was created.

Declaration

[JsonProperty("createTime")]
public virtual string CreateTimeRaw { get; set; }

Property Value

Type	Description
string

DisplayName

Required. The user-defined name of this TrainingPipeline.

Declaration

[JsonProperty("displayName")]
public virtual string DisplayName { get; set; }

Property Value

Type	Description
string

ETag

The ETag of the item.

Declaration

public virtual string ETag { get; set; }

Property Value

Type	Description
string

EncryptionSpec

Customer-managed encryption key spec for a TrainingPipeline. If set, this TrainingPipeline will be secured by this key. Note: Model trained by this TrainingPipeline is also secured by this key if model_to_upload is not set separately.

Declaration

[JsonProperty("encryptionSpec")]
public virtual GoogleCloudAiplatformV1beta1EncryptionSpec EncryptionSpec { get; set; }

Property Value

Type	Description
GoogleCloudAiplatformV1beta1EncryptionSpec

EndTime

object representation of EndTimeRaw.

Declaration

[JsonIgnore]
[Obsolete("This property is obsolete and may behave unexpectedly; please use EndTimeDateTimeOffset instead.")]
public virtual object EndTime { get; set; }

Property Value

Type	Description
object

EndTimeDateTimeOffset

DateTimeOffset representation of EndTimeRaw.

Declaration

[JsonIgnore]
public virtual DateTimeOffset? EndTimeDateTimeOffset { get; set; }

Property Value

Type	Description
DateTimeOffset?

EndTimeRaw

Output only. Time when the TrainingPipeline entered any of the following states: PIPELINE_STATE_SUCCEEDED, PIPELINE_STATE_FAILED, PIPELINE_STATE_CANCELLED.

Declaration

[JsonProperty("endTime")]
public virtual string EndTimeRaw { get; set; }

Property Value

Type	Description
string

Error

Output only. Only populated when the pipeline's state is PIPELINE_STATE_FAILED or PIPELINE_STATE_CANCELLED.

Declaration

[JsonProperty("error")]
public virtual GoogleRpcStatus Error { get; set; }

Property Value

Type	Description
GoogleRpcStatus

InputDataConfig

Specifies Vertex AI owned input data that may be used for training the Model. The TrainingPipeline's training_task_definition should make clear whether this config is used and if there are any special requirements on how it should be filled. If nothing about this config is mentioned in the training_task_definition, then it should be assumed that the TrainingPipeline does not depend on this configuration.

Declaration

[JsonProperty("inputDataConfig")]
public virtual GoogleCloudAiplatformV1beta1InputDataConfig InputDataConfig { get; set; }

Property Value

Type	Description
GoogleCloudAiplatformV1beta1InputDataConfig

Labels

The labels with user-defined metadata to organize TrainingPipelines. 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>

ModelId

Optional. The ID to use for the uploaded Model, which will become the final component of the model resource name. This value may be up to 63 characters, and valid characters are [a-z0-9_-]. The first character cannot be a number or hyphen.

Declaration

[JsonProperty("modelId")]
public virtual string ModelId { get; set; }

Property Value

Type	Description
string

ModelToUpload

Describes the Model that may be uploaded (via ModelService.UploadModel) by this TrainingPipeline. The TrainingPipeline's training_task_definition should make clear whether this Model description should be populated, and if there are any special requirements regarding how it should be filled. If nothing is mentioned in the training_task_definition, then it should be assumed that this field should not be filled and the training task either uploads the Model without a need of this information, or that training task does not support uploading a Model as part of the pipeline. When the Pipeline's state becomes PIPELINE_STATE_SUCCEEDED and the trained Model had been uploaded into Vertex AI, then the model_to_upload's resource name is populated. The Model is always uploaded into the Project and Location in which this pipeline is.

Declaration

[JsonProperty("modelToUpload")]
public virtual GoogleCloudAiplatformV1beta1Model ModelToUpload { get; set; }

Property Value

Type	Description
GoogleCloudAiplatformV1beta1Model

Name

Output only. Resource name of the TrainingPipeline.

Declaration

[JsonProperty("name")]
public virtual string Name { get; set; }

Property Value

Type	Description
string

ParentModel

Optional. When specify this field, the model_to_upload will not be uploaded as a new model, instead, it will become a new version of this parent_model.

Declaration

[JsonProperty("parentModel")]
public virtual string ParentModel { get; set; }

Property Value

Type	Description
string

StartTime

object representation of StartTimeRaw.

Declaration

[JsonIgnore]
[Obsolete("This property is obsolete and may behave unexpectedly; please use StartTimeDateTimeOffset instead.")]
public virtual object StartTime { get; set; }

Property Value

Type	Description
object

StartTimeDateTimeOffset

DateTimeOffset representation of StartTimeRaw.

Declaration

[JsonIgnore]
public virtual DateTimeOffset? StartTimeDateTimeOffset { get; set; }

Property Value

Type	Description
DateTimeOffset?

StartTimeRaw

Output only. Time when the TrainingPipeline for the first time entered the PIPELINE_STATE_RUNNING state.

Declaration

[JsonProperty("startTime")]
public virtual string StartTimeRaw { get; set; }

Property Value

Type	Description
string

State

Output only. The detailed state of the pipeline.

Declaration

[JsonProperty("state")]
public virtual string State { get; set; }

Property Value

Type	Description
string

TrainingTaskDefinition

Required. A Google Cloud Storage path to the YAML file that defines the training task which is responsible for producing the model artifact, and may also include additional auxiliary work. The definition files that can be used here are found in gs://google-cloud-aiplatform/schema/trainingjob/definition/. 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("trainingTaskDefinition")]
public virtual string TrainingTaskDefinition { get; set; }

Property Value

Type	Description
string

TrainingTaskInputs

Required. The training task's parameter(s), as specified in the training_task_definition's inputs.

Declaration

[JsonProperty("trainingTaskInputs")]
public virtual object TrainingTaskInputs { get; set; }

Property Value

Type	Description
object

TrainingTaskMetadata

Output only. The metadata information as specified in the training_task_definition's metadata. This metadata is an auxiliary runtime and final information about the training task. While the pipeline is running this information is populated only at a best effort basis. Only present if the pipeline's training_task_definition contains metadata object.

Declaration

[JsonProperty("trainingTaskMetadata")]
public virtual object TrainingTaskMetadata { get; set; }

Property Value

Type	Description
object

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. Time when the TrainingPipeline was most recently updated.

Declaration

[JsonProperty("updateTime")]
public virtual string UpdateTimeRaw { get; set; }

Property Value

Type	Description
string

Implements

IDirectResponseSchema