Train high-quality custom machine learning models with minimum effort and machine learning expertise.
Service: automl.googleapis.com
The Service name automl.googleapis.com
is needed to create RPC client stubs.
google.cloud.automl.v1.AutoMl
Methods | |
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Creates a dataset. |
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Creates a model. |
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Deletes a dataset and all of its contents. |
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Deletes a model. |
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Deploys a model. |
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Exports dataset's data to the provided output location. |
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Exports a trained, "export-able", model to a user specified Google Cloud Storage location. |
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Gets an annotation spec. |
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Gets a dataset. |
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Gets a model. |
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Gets a model evaluation. |
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Imports data into a dataset. |
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Lists datasets in a project. |
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Lists model evaluations. |
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Lists models. |
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Undeploys a model. |
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Updates a dataset. |
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Updates a model. |
google.cloud.automl.v1.PredictionService
Methods | |
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Perform a batch prediction. |
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Perform an online prediction. |
google.cloud.automl.v1beta1.AutoMl
Methods | |
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|
Creates a dataset. |
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Creates a model. |
|
Deletes a dataset and all of its contents. |
|
Deletes a model. |
|
Deploys a model. |
|
Exports dataset's data to the provided output location. |
|
Exports examples on which the model was evaluated (i.e. |
|
Exports a trained, "export-able", model to a user specified Google Cloud Storage location. |
|
Gets an annotation spec. |
|
Gets a column spec. |
|
Gets a dataset. |
|
Gets a model. |
|
Gets a model evaluation. |
|
Gets a table spec. |
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Imports data into a dataset. |
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Lists column specs in a table spec. |
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Lists datasets in a project. |
|
Lists model evaluations. |
|
Lists models. |
|
Lists table specs in a dataset. |
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Undeploys a model. |
|
Updates a column spec. |
|
Updates a dataset. |
|
Updates a table spec. |
google.cloud.automl.v1beta1.PredictionService
Methods | |
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Perform a batch prediction. |
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Perform an online prediction. |
google.cloud.automl.v1beta1.StreamingPredictionService
Methods |
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google.cloud.automl.v1p1beta.AutoMl
Methods | |
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|
Creates a dataset. |
|
Creates a model. |
|
Deletes a dataset and all of its contents. |
|
Deletes a model. |
|
Deploys a model. |
|
Exports dataset's data to the provided output location. |
|
Exports examples on which the model was evaluated (i.e. |
|
Exports a trained, "export-able", model to a user specified Google Cloud Storage location. |
|
Gets an annotation spec. |
|
Gets a column spec. |
|
Gets a dataset. |
|
Gets a model. |
|
Gets a model evaluation. |
|
Gets a table spec. |
|
Imports data into a dataset. |
|
Lists column specs in a table spec. |
|
Lists datasets in a project. |
|
Lists model evaluations. |
|
Lists models. |
|
Lists table specs in a dataset. |
|
Undeploys a model. |
|
Updates a column spec. |
|
Updates a dataset. |
|
Updates a model. |
|
Updates a table spec. |
google.cloud.automl.v1p1beta.PredictionService
Methods | |
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Perform a batch prediction. |
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Perform an online prediction. |
google.cloud.location.Locations
Methods | |
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Gets information about a location. |
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Lists information about the supported locations for this service. |
google.iam.v1.IAMPolicy
Methods | |
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Gets the access control policy for a resource. |
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Sets the access control policy on the specified resource. |
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Returns permissions that a caller has on the specified resource. |
google.longrunning.Operations
Methods | |
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Starts asynchronous cancellation on a long-running operation. |
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Deletes a long-running operation. |
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Gets the latest state of a long-running operation. |
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Lists operations that match the specified filter in the request. |
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Waits for the specified long-running operation until it is done or reaches at most a specified timeout, returning the latest state. |