google_api_machine_learning v0.1.0 GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1Model View Source
Represents a machine learning solution. A model can have multiple versions, each of which is a deployed, trained model ready to receive prediction requests. The model itself is just a container.
Attributes
- defaultVersion (GoogleCloudMlV1Version): Output only. The default version of the model. This version will be used to handle prediction requests that do not specify a version. You can change the default version by calling projects.methods.versions.setDefault. Defaults to:
null
. - description (String.t): Optional. The description specified for the model when it was created. Defaults to:
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. - name (String.t): Required. The name specified for the model when it was created. The model name must be unique within the project it is created in. Defaults to:
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. - onlinePredictionLogging (boolean()): Optional. If true, enables StackDriver Logging for online prediction. Default is false. Defaults to:
null
. - regions ([String.t]): Optional. The list of regions where the model is going to be deployed. Currently only one region per model is supported. Defaults to 'us-central1' if nothing is set. See the <a href="/ml-engine/docs/tensorflow/regions">available regions</a> for ML Engine services. Note: No matter where a model is deployed, it can always be accessed by users from anywhere, both for online and batch prediction. The region for a batch prediction job is set by the region field when submitting the batch prediction job and does not take its value from this field. 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.GoogleCloudMlV1Model{ defaultVersion: GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1Version.t(), description: any(), name: any(), onlinePredictionLogging: any(), regions: [any()] }
Link to this section Functions
Unwrap a decoded JSON object into its complex fields.