Class GoogleCloudAiplatformV1TrainingPipeline
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.
Implements
Inherited Members
Namespace: Google.Apis.Aiplatform.v1.Data
Assembly: Google.Apis.Aiplatform.v1.dll
Syntax
public class GoogleCloudAiplatformV1TrainingPipeline : 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[Obsolete("This property is obsolete and may behave unexpectedly; please use CreateTimeDateTimeOffset instead.")]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 GoogleCloudAiplatformV1EncryptionSpec EncryptionSpec { get; set; }
Property Value
Type | Description |
---|---|
GoogleCloudAiplatformV1EncryptionSpec |
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[Obsolete("This property is obsolete and may behave unexpectedly; please use EndTimeDateTimeOffset instead.")]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 GoogleCloudAiplatformV1InputDataConfig InputDataConfig { get; set; }
Property Value
Type | Description |
---|---|
GoogleCloudAiplatformV1InputDataConfig |
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 GoogleCloudAiplatformV1Model ModelToUpload { get; set; }
Property Value
Type | Description |
---|---|
GoogleCloudAiplatformV1Model |
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 |