Class: Google::Apis::MlV1::GoogleCloudMlV1Job
- Inherits:
-
Object
- Object
- Google::Apis::MlV1::GoogleCloudMlV1Job
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- generated/google/apis/ml_v1/classes.rb,
generated/google/apis/ml_v1/representations.rb,
generated/google/apis/ml_v1/representations.rb
Overview
Represents a training or prediction job.
Instance Attribute Summary collapse
-
#create_time ⇒ String
Output only.
-
#end_time ⇒ String
Output only.
-
#error_message ⇒ String
Output only.
-
#etag ⇒ String
etagis used for optimistic concurrency control as a way to help prevent simultaneous updates of a job from overwriting each other. -
#job_id ⇒ String
Required.
-
#labels ⇒ Hash<String,String>
Optional.
-
#prediction_input ⇒ Google::Apis::MlV1::GoogleCloudMlV1PredictionInput
Represents input parameters for a prediction job.
-
#prediction_output ⇒ Google::Apis::MlV1::GoogleCloudMlV1PredictionOutput
Represents results of a prediction job.
-
#start_time ⇒ String
Output only.
-
#state ⇒ String
Output only.
-
#training_input ⇒ Google::Apis::MlV1::GoogleCloudMlV1TrainingInput
Represents input parameters for a training job.
-
#training_output ⇒ Google::Apis::MlV1::GoogleCloudMlV1TrainingOutput
Represents results of a training job.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudMlV1Job
constructor
A new instance of GoogleCloudMlV1Job.
-
#update!(**args) ⇒ Object
Update properties of this object.
Methods included from Core::JsonObjectSupport
Methods included from Core::Hashable
Constructor Details
#initialize(**args) ⇒ GoogleCloudMlV1Job
Returns a new instance of GoogleCloudMlV1Job
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# File 'generated/google/apis/ml_v1/classes.rb', line 393 def initialize(**args) update!(**args) end |
Instance Attribute Details
#create_time ⇒ String
Output only. When the job was created.
Corresponds to the JSON property createTime
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# File 'generated/google/apis/ml_v1/classes.rb', line 320 def create_time @create_time end |
#end_time ⇒ String
Output only. When the job processing was completed.
Corresponds to the JSON property endTime
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# File 'generated/google/apis/ml_v1/classes.rb', line 325 def end_time @end_time end |
#error_message ⇒ String
Output only. The details of a failure or a cancellation.
Corresponds to the JSON property errorMessage
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# File 'generated/google/apis/ml_v1/classes.rb', line 330 def @error_message end |
#etag ⇒ String
etag is used for optimistic concurrency control as a way to help
prevent simultaneous updates of a job from overwriting each other.
It is strongly suggested that systems make use of the etag in the
read-modify-write cycle to perform job updates in order to avoid race
conditions: An etag is returned in the response to GetJob, and
systems are expected to put that etag in the request to UpdateJob to
ensure that their change will be applied to the same version of the job.
Corresponds to the JSON property etag
NOTE: Values are automatically base64 encoded/decoded in the client library.
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# File 'generated/google/apis/ml_v1/classes.rb', line 342 def etag @etag end |
#job_id ⇒ String
Required. The user-specified id of the job.
Corresponds to the JSON property jobId
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# File 'generated/google/apis/ml_v1/classes.rb', line 347 def job_id @job_id end |
#labels ⇒ Hash<String,String>
Optional. One or more labels that you can add, to organize your jobs.
Each label is a key-value pair, where both the key and the value are
arbitrary strings that you supply.
For more information, see the documentation on
using labels.
Corresponds to the JSON property labels
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# File 'generated/google/apis/ml_v1/classes.rb', line 356 def labels @labels end |
#prediction_input ⇒ Google::Apis::MlV1::GoogleCloudMlV1PredictionInput
Represents input parameters for a prediction job.
Corresponds to the JSON property predictionInput
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# File 'generated/google/apis/ml_v1/classes.rb', line 361 def prediction_input @prediction_input end |
#prediction_output ⇒ Google::Apis::MlV1::GoogleCloudMlV1PredictionOutput
Represents results of a prediction job.
Corresponds to the JSON property predictionOutput
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# File 'generated/google/apis/ml_v1/classes.rb', line 366 def prediction_output @prediction_output end |
#start_time ⇒ String
Output only. When the job processing was started.
Corresponds to the JSON property startTime
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# File 'generated/google/apis/ml_v1/classes.rb', line 371 def start_time @start_time end |
#state ⇒ String
Output only. The detailed state of a job.
Corresponds to the JSON property state
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# File 'generated/google/apis/ml_v1/classes.rb', line 376 def state @state end |
#training_input ⇒ Google::Apis::MlV1::GoogleCloudMlV1TrainingInput
Represents input parameters for a training job. When using the
gcloud command to submit your training job, you can specify
the input parameters as command-line arguments and/or in a YAML configuration
file referenced from the --config command-line argument. For
details, see the guide to
submitting a training job.
Corresponds to the JSON property trainingInput
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# File 'generated/google/apis/ml_v1/classes.rb', line 386 def training_input @training_input end |
#training_output ⇒ Google::Apis::MlV1::GoogleCloudMlV1TrainingOutput
Represents results of a training job. Output only.
Corresponds to the JSON property trainingOutput
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# File 'generated/google/apis/ml_v1/classes.rb', line 391 def training_output @training_output end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
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# File 'generated/google/apis/ml_v1/classes.rb', line 398 def update!(**args) @create_time = args[:create_time] if args.key?(:create_time) @end_time = args[:end_time] if args.key?(:end_time) @error_message = args[:error_message] if args.key?(:error_message) @etag = args[:etag] if args.key?(:etag) @job_id = args[:job_id] if args.key?(:job_id) @labels = args[:labels] if args.key?(:labels) @prediction_input = args[:prediction_input] if args.key?(:prediction_input) @prediction_output = args[:prediction_output] if args.key?(:prediction_output) @start_time = args[:start_time] if args.key?(:start_time) @state = args[:state] if args.key?(:state) @training_input = args[:training_input] if args.key?(:training_input) @training_output = args[:training_output] if args.key?(:training_output) end |