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
etag
is 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.
Constructor Details
#initialize(**args) ⇒ GoogleCloudMlV1Job
Returns a new instance of GoogleCloudMlV1Job.
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# File 'generated/google/apis/ml_v1/classes.rb', line 1419 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 1348 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 1353 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 1358 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 1370 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 1375 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 1383 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 1388 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 1393 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 1398 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 1403 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 1412 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 1417 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 1424 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 |