google_api_machine_learning v0.8.0 GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1Job View Source

Represents a training or prediction job.

Attributes

  • createTime (DateTime.t): Output only. When the job was created. Defaults to: null.
  • endTime (DateTime.t): Output only. When the job processing was completed. Defaults to: null.
  • errorMessage (String.t): Output only. The details of a failure or a cancellation. Defaults to: null.
  • etag (binary()): `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. Defaults to: null.
  • jobId (String.t): Required. The user-specified id of the job. Defaults to: null.
  • labels (%{optional(String.t) => String.t}): 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 <a href="/ml-engine/docs/tensorflow/resource-labels">using labels</a>. Defaults to: null.
  • predictionInput (GoogleCloudMlV1PredictionInput): Input parameters to create a prediction job. Defaults to: null.
  • predictionOutput (GoogleCloudMlV1PredictionOutput): The current prediction job result. Defaults to: null.
  • startTime (DateTime.t): Output only. When the job processing was started. Defaults to: null.
  • state (String.t): Output only. The detailed state of a job. Defaults to: null.

    • Enum - one of [STATE_UNSPECIFIED, QUEUED, PREPARING, RUNNING, SUCCEEDED, FAILED, CANCELLING, CANCELLED]
  • trainingInput (GoogleCloudMlV1TrainingInput): Input parameters to create a training job. Defaults to: null.
  • trainingOutput (GoogleCloudMlV1TrainingOutput): The current training job result. Defaults to: null.

Link to this section Summary

Functions

Unwrap a decoded JSON object into its complex fields.

Link to this section Types

Link to this type

t() View Source
t() :: %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1Job{
  createTime: DateTime.t(),
  endTime: DateTime.t(),
  errorMessage: any(),
  etag: any(),
  jobId: any(),
  labels: map(),
  predictionInput:
    GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1PredictionInput.t(),
  predictionOutput:
    GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1PredictionOutput.t(),
  startTime: DateTime.t(),
  state: any(),
  trainingInput:
    GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1TrainingInput.t(),
  trainingOutput:
    GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1TrainingOutput.t()
}

Link to this section Functions

Link to this function

decode(value, options) View Source
decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.