Cloud AutoML V1 API - Class Google::Cloud::AutoML::V1::AutoML::Client (v0.4.8)

Reference documentation and code samples for the Cloud AutoML V1 API class Google::Cloud::AutoML::V1::AutoML::Client.

Client for the AutoMl service.

AutoML Server API.

The resource names are assigned by the server. The server never reuses names that it has created after the resources with those names are deleted.

An ID of a resource is the last element of the item's resource name. For projects/{project_id}/locations/{location_id}/datasets/{dataset_id}, then the id for the item is {dataset_id}.

Currently the only supported location_id is "us-central1".

On any input that is documented to expect a string parameter in snake_case or dash-case, either of those cases is accepted.

Inherits

  • Object

Includes

Methods

.configure

def self.configure() { |config| ... } -> Client::Configuration

Configure the AutoMl Client class.

See Configuration for a description of the configuration fields.

Yields
  • (config) — Configure the Client client.
Yield Parameter
Returns
Example 
# Modify the configuration for all AutoMl clients
::Google::Cloud::AutoML::V1::AutoML::Client.configure do |config|
  config.timeout = 10.0
end

#configure

def configure() { |config| ... } -> Client::Configuration

Configure the AutoMl Client instance.

The configuration is set to the derived mode, meaning that values can be changed, but structural changes (adding new fields, etc.) are not allowed. Structural changes should be made on Client.configure.

See Configuration for a description of the configuration fields.

Yields
  • (config) — Configure the Client client.
Yield Parameter
Returns

#create_dataset

def create_dataset(request, options = nil) -> ::Gapic::Operation
def create_dataset(parent: nil, dataset: nil) -> ::Gapic::Operation

Creates a dataset.

Overloads 
def create_dataset(request, options = nil) -> ::Gapic::Operation
Pass arguments to create_dataset via a request object, either of type CreateDatasetRequest or an equivalent Hash.
Parameters
  • request (::Google::Cloud::AutoML::V1::CreateDatasetRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
  • options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. 
def create_dataset(parent: nil, dataset: nil) -> ::Gapic::Operation
Pass arguments to create_dataset via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).
Parameters
  • parent (::String) — Required. The resource name of the project to create the dataset for.
  • dataset (::Google::Cloud::AutoML::V1::Dataset, ::Hash) — Required. The dataset to create.
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)
Returns
  • (::Gapic::Operation)
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::CreateDatasetRequest.new

# Call the create_dataset method.
result = client.create_dataset request

# The returned object is of type Gapic::Operation. You can use this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
end

#create_model

def create_model(request, options = nil) -> ::Gapic::Operation
def create_model(parent: nil, model: nil) -> ::Gapic::Operation

Creates a model. Returns a Model in the response field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.

Overloads 
def create_model(request, options = nil) -> ::Gapic::Operation
Pass arguments to create_model via a request object, either of type CreateModelRequest or an equivalent Hash.
Parameters
  • request (::Google::Cloud::AutoML::V1::CreateModelRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
  • options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. 
def create_model(parent: nil, model: nil) -> ::Gapic::Operation
Pass arguments to create_model via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).
Parameters
  • parent (::String) — Required. Resource name of the parent project where the model is being created.
  • model (::Google::Cloud::AutoML::V1::Model, ::Hash) — Required. The model to create.
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)
Returns
  • (::Gapic::Operation)
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::CreateModelRequest.new

# Call the create_model method.
result = client.create_model request

# The returned object is of type Gapic::Operation. You can use this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
end

#delete_dataset

def delete_dataset(request, options = nil) -> ::Gapic::Operation
def delete_dataset(name: nil) -> ::Gapic::Operation

Deletes a dataset and all of its contents. Returns empty response in the response field when it completes, and delete_details in the metadata field.

Overloads 
def delete_dataset(request, options = nil) -> ::Gapic::Operation
Pass arguments to delete_dataset via a request object, either of type DeleteDatasetRequest or an equivalent Hash.
Parameters
  • request (::Google::Cloud::AutoML::V1::DeleteDatasetRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
  • options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. 
def delete_dataset(name: nil) -> ::Gapic::Operation
Pass arguments to delete_dataset via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).
Parameter
  • name (::String) — Required. The resource name of the dataset to delete.
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)
Returns
  • (::Gapic::Operation)
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::DeleteDatasetRequest.new

# Call the delete_dataset method.
result = client.delete_dataset request

# The returned object is of type Gapic::Operation. You can use this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
end

#delete_model

def delete_model(request, options = nil) -> ::Gapic::Operation
def delete_model(name: nil) -> ::Gapic::Operation

Deletes a model. Returns google.protobuf.Empty in the response field when it completes, and delete_details in the metadata field.

Overloads 
def delete_model(request, options = nil) -> ::Gapic::Operation
Pass arguments to delete_model via a request object, either of type DeleteModelRequest or an equivalent Hash.
Parameters
  • request (::Google::Cloud::AutoML::V1::DeleteModelRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
  • options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. 
def delete_model(name: nil) -> ::Gapic::Operation
Pass arguments to delete_model via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).
Parameter
  • name (::String) — Required. Resource name of the model being deleted.
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)
Returns
  • (::Gapic::Operation)
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::DeleteModelRequest.new

# Call the delete_model method.
result = client.delete_model request

# The returned object is of type Gapic::Operation. You can use this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
end

#deploy_model

def deploy_model(request, options = nil) -> ::Gapic::Operation
def deploy_model(image_object_detection_model_deployment_metadata: nil, image_classification_model_deployment_metadata: nil, name: nil) -> ::Gapic::Operation

Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing [node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.

Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.

Returns an empty response in the response field when it completes.

Overloads 
def deploy_model(request, options = nil) -> ::Gapic::Operation
Pass arguments to deploy_model via a request object, either of type DeployModelRequest or an equivalent Hash.
Parameters
  • request (::Google::Cloud::AutoML::V1::DeployModelRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
  • options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. 
def deploy_model(image_object_detection_model_deployment_metadata: nil, image_classification_model_deployment_metadata: nil, name: nil) -> ::Gapic::Operation
Pass arguments to deploy_model via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).
Parameters
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)
Returns
  • (::Gapic::Operation)
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::DeployModelRequest.new

# Call the deploy_model method.
result = client.deploy_model request

# The returned object is of type Gapic::Operation. You can use this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
end

#export_data

def export_data(request, options = nil) -> ::Gapic::Operation
def export_data(name: nil, output_config: nil) -> ::Gapic::Operation

Exports dataset's data to the provided output location. Returns an empty response in the response field when it completes.

Overloads 
def export_data(request, options = nil) -> ::Gapic::Operation
Pass arguments to export_data via a request object, either of type ExportDataRequest or an equivalent Hash.
Parameters
  • request (::Google::Cloud::AutoML::V1::ExportDataRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
  • options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. 
def export_data(name: nil, output_config: nil) -> ::Gapic::Operation
Pass arguments to export_data via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).
Parameters
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)
Returns
  • (::Gapic::Operation)
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::ExportDataRequest.new

# Call the export_data method.
result = client.export_data request

# The returned object is of type Gapic::Operation. You can use this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
end

#export_model

def export_model(request, options = nil) -> ::Gapic::Operation
def export_model(name: nil, output_config: nil) -> ::Gapic::Operation

Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in ModelExportOutputConfig.

Returns an empty response in the response field when it completes.

Overloads 
def export_model(request, options = nil) -> ::Gapic::Operation
Pass arguments to export_model via a request object, either of type ExportModelRequest or an equivalent Hash.
Parameters
  • request (::Google::Cloud::AutoML::V1::ExportModelRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
  • options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. 
def export_model(name: nil, output_config: nil) -> ::Gapic::Operation
Pass arguments to export_model via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).
Parameters
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)
Returns
  • (::Gapic::Operation)
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::ExportModelRequest.new

# Call the export_model method.
result = client.export_model request

# The returned object is of type Gapic::Operation. You can use this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
end

#get_annotation_spec

def get_annotation_spec(request, options = nil) -> ::Google::Cloud::AutoML::V1::AnnotationSpec
def get_annotation_spec(name: nil) -> ::Google::Cloud::AutoML::V1::AnnotationSpec

Gets an annotation spec.

Overloads 
def get_annotation_spec(request, options = nil) -> ::Google::Cloud::AutoML::V1::AnnotationSpec
Pass arguments to get_annotation_spec via a request object, either of type GetAnnotationSpecRequest or an equivalent Hash.
Parameters
  • request (::Google::Cloud::AutoML::V1::GetAnnotationSpecRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
  • options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. 
def get_annotation_spec(name: nil) -> ::Google::Cloud::AutoML::V1::AnnotationSpec
Pass arguments to get_annotation_spec via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).
Parameter
  • name (::String) — Required. The resource name of the annotation spec to retrieve.
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
Returns
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::GetAnnotationSpecRequest.new

# Call the get_annotation_spec method.
result = client.get_annotation_spec request

# The returned object is of type Google::Cloud::AutoML::V1::AnnotationSpec.
p result

#get_dataset

def get_dataset(request, options = nil) -> ::Google::Cloud::AutoML::V1::Dataset
def get_dataset(name: nil) -> ::Google::Cloud::AutoML::V1::Dataset

Gets a dataset.

Overloads 
def get_dataset(request, options = nil) -> ::Google::Cloud::AutoML::V1::Dataset
Pass arguments to get_dataset via a request object, either of type GetDatasetRequest or an equivalent Hash.
Parameters
  • request (::Google::Cloud::AutoML::V1::GetDatasetRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
  • options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. 
def get_dataset(name: nil) -> ::Google::Cloud::AutoML::V1::Dataset
Pass arguments to get_dataset via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).
Parameter
  • name (::String) — Required. The resource name of the dataset to retrieve.
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
Returns
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::GetDatasetRequest.new

# Call the get_dataset method.
result = client.get_dataset request

# The returned object is of type Google::Cloud::AutoML::V1::Dataset.
p result

#get_model

def get_model(request, options = nil) -> ::Google::Cloud::AutoML::V1::Model
def get_model(name: nil) -> ::Google::Cloud::AutoML::V1::Model

Gets a model.

Overloads 
def get_model(request, options = nil) -> ::Google::Cloud::AutoML::V1::Model
Pass arguments to get_model via a request object, either of type GetModelRequest or an equivalent Hash.
Parameters
  • request (::Google::Cloud::AutoML::V1::GetModelRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
  • options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. 
def get_model(name: nil) -> ::Google::Cloud::AutoML::V1::Model
Pass arguments to get_model via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).
Parameter
  • name (::String) — Required. Resource name of the model.
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
Returns
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::GetModelRequest.new

# Call the get_model method.
result = client.get_model request

# The returned object is of type Google::Cloud::AutoML::V1::Model.
p result

#get_model_evaluation

def get_model_evaluation(request, options = nil) -> ::Google::Cloud::AutoML::V1::ModelEvaluation
def get_model_evaluation(name: nil) -> ::Google::Cloud::AutoML::V1::ModelEvaluation

Gets a model evaluation.

Overloads 
def get_model_evaluation(request, options = nil) -> ::Google::Cloud::AutoML::V1::ModelEvaluation
Pass arguments to get_model_evaluation via a request object, either of type GetModelEvaluationRequest or an equivalent Hash.
Parameters
  • request (::Google::Cloud::AutoML::V1::GetModelEvaluationRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
  • options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. 
def get_model_evaluation(name: nil) -> ::Google::Cloud::AutoML::V1::ModelEvaluation
Pass arguments to get_model_evaluation via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).
Parameter
  • name (::String) — Required. Resource name for the model evaluation.
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
Returns
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::GetModelEvaluationRequest.new

# Call the get_model_evaluation method.
result = client.get_model_evaluation request

# The returned object is of type Google::Cloud::AutoML::V1::ModelEvaluation.
p result

#import_data

def import_data(request, options = nil) -> ::Gapic::Operation
def import_data(name: nil, input_config: nil) -> ::Gapic::Operation

Imports data into a dataset. For Tables this method can only be called on an empty Dataset.

For Tables:

Overloads 
def import_data(request, options = nil) -> ::Gapic::Operation
Pass arguments to import_data via a request object, either of type ImportDataRequest or an equivalent Hash.
Parameters
  • request (::Google::Cloud::AutoML::V1::ImportDataRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
  • options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. 
def import_data(name: nil, input_config: nil) -> ::Gapic::Operation
Pass arguments to import_data via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).
Parameters
  • name (::String) — Required. Dataset name. Dataset must already exist. All imported annotations and examples will be added.
  • input_config (::Google::Cloud::AutoML::V1::InputConfig, ::Hash) — Required. The desired input location and its domain specific semantics, if any.
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)
Returns
  • (::Gapic::Operation)
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::ImportDataRequest.new

# Call the import_data method.
result = client.import_data request

# The returned object is of type Gapic::Operation. You can use this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
end

#initialize

def initialize() { |config| ... } -> Client

Create a new AutoMl client object.

Yields
  • (config) — Configure the AutoMl client.
Yield Parameter
Returns
  • (Client) — a new instance of Client
Example 
# Create a client using the default configuration
client = ::Google::Cloud::AutoML::V1::AutoML::Client.new

# Create a client using a custom configuration
client = ::Google::Cloud::AutoML::V1::AutoML::Client.new do |config|
  config.timeout = 10.0
end

#list_datasets

def list_datasets(request, options = nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AutoML::V1::Dataset>
def list_datasets(parent: nil, filter: nil, page_size: nil, page_token: nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AutoML::V1::Dataset>

Lists datasets in a project.

Overloads 
def list_datasets(request, options = nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AutoML::V1::Dataset>
Pass arguments to list_datasets via a request object, either of type ListDatasetsRequest or an equivalent Hash.
Parameters
  • request (::Google::Cloud::AutoML::V1::ListDatasetsRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
  • options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. 
def list_datasets(parent: nil, filter: nil, page_size: nil, page_token: nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AutoML::V1::Dataset>
Pass arguments to list_datasets via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).
Parameters
  • parent (::String) — Required. The resource name of the project from which to list datasets.
  • filter (::String) —

    An expression for filtering the results of the request.

    • dataset_metadata - for existence of the case (e.g. image_classification_dataset_metadata:*). Some examples of using the filter are:

    • translation_dataset_metadata:* --> The dataset has translation_dataset_metadata.

  • page_size (::Integer) — Requested page size. Server may return fewer results than requested. If unspecified, server will pick a default size.
  • page_token (::String) — A token identifying a page of results for the server to return Typically obtained via ListDatasetsResponse.next_page_token of the previous AutoMl.ListDatasets call.
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
Returns
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::ListDatasetsRequest.new

# Call the list_datasets method.
result = client.list_datasets request

# The returned object is of type Gapic::PagedEnumerable. You can
# iterate over all elements by calling #each, and the enumerable
# will lazily make API calls to fetch subsequent pages. Other
# methods are also available for managing paging directly.
result.each do |response|
  # Each element is of type ::Google::Cloud::AutoML::V1::Dataset.
  p response
end

#list_model_evaluations

def list_model_evaluations(request, options = nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AutoML::V1::ModelEvaluation>
def list_model_evaluations(parent: nil, filter: nil, page_size: nil, page_token: nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AutoML::V1::ModelEvaluation>

Lists model evaluations.

Overloads 
def list_model_evaluations(request, options = nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AutoML::V1::ModelEvaluation>
Pass arguments to list_model_evaluations via a request object, either of type ListModelEvaluationsRequest or an equivalent Hash.
Parameters
  • request (::Google::Cloud::AutoML::V1::ListModelEvaluationsRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
  • options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. 
def list_model_evaluations(parent: nil, filter: nil, page_size: nil, page_token: nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AutoML::V1::ModelEvaluation>
Pass arguments to list_model_evaluations via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).
Parameters
  • parent (::String) — Required. Resource name of the model to list the model evaluations for. If modelId is set as "-", this will list model evaluations from across all models of the parent location.
  • filter (::String) —

    Required. An expression for filtering the results of the request.

    • annotation_spec_id - for =, != or existence. See example below for the last.

    Some examples of using the filter are:

    • annotation_spec_id!=4 --> The model evaluation was done for annotation spec with ID different than 4.
    • NOT annotation_spec_id:* --> The model evaluation was done for aggregate of all annotation specs.
  • page_size (::Integer) — Requested page size.
  • page_token (::String) — A token identifying a page of results for the server to return. Typically obtained via ListModelEvaluationsResponse.next_page_token of the previous AutoMl.ListModelEvaluations call.
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
Returns
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::ListModelEvaluationsRequest.new

# Call the list_model_evaluations method.
result = client.list_model_evaluations request

# The returned object is of type Gapic::PagedEnumerable. You can
# iterate over all elements by calling #each, and the enumerable
# will lazily make API calls to fetch subsequent pages. Other
# methods are also available for managing paging directly.
result.each do |response|
  # Each element is of type ::Google::Cloud::AutoML::V1::ModelEvaluation.
  p response
end

#list_models

def list_models(request, options = nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AutoML::V1::Model>
def list_models(parent: nil, filter: nil, page_size: nil, page_token: nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AutoML::V1::Model>

Lists models.

Overloads 
def list_models(request, options = nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AutoML::V1::Model>
Pass arguments to list_models via a request object, either of type ListModelsRequest or an equivalent Hash.
Parameters
  • request (::Google::Cloud::AutoML::V1::ListModelsRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
  • options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. 
def list_models(parent: nil, filter: nil, page_size: nil, page_token: nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AutoML::V1::Model>
Pass arguments to list_models via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).
Parameters
  • parent (::String) — Required. Resource name of the project, from which to list the models.
  • filter (::String) —

    An expression for filtering the results of the request.

    • model_metadata - for existence of the case (e.g. video_classification_model_metadata:*).

    • dataset_id - for = or !=. Some examples of using the filter are:

    • image_classification_model_metadata:* --> The model has image_classification_model_metadata.

    • dataset_id=5 --> The model was created from a dataset with ID 5.

  • page_size (::Integer) — Requested page size.
  • page_token (::String) — A token identifying a page of results for the server to return Typically obtained via ListModelsResponse.next_page_token of the previous AutoMl.ListModels call.
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
Returns
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::ListModelsRequest.new

# Call the list_models method.
result = client.list_models request

# The returned object is of type Gapic::PagedEnumerable. You can
# iterate over all elements by calling #each, and the enumerable
# will lazily make API calls to fetch subsequent pages. Other
# methods are also available for managing paging directly.
result.each do |response|
  # Each element is of type ::Google::Cloud::AutoML::V1::Model.
  p response
end

#operations_client

def operations_client() -> ::Google::Cloud::AutoML::V1::AutoML::Operations

Get the associated client for long-running operations.

Returns

#undeploy_model

def undeploy_model(request, options = nil) -> ::Gapic::Operation
def undeploy_model(name: nil) -> ::Gapic::Operation

Undeploys a model. If the model is not deployed this method has no effect.

Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.

Returns an empty response in the response field when it completes.

Overloads 
def undeploy_model(request, options = nil) -> ::Gapic::Operation
Pass arguments to undeploy_model via a request object, either of type UndeployModelRequest or an equivalent Hash.
Parameters
  • request (::Google::Cloud::AutoML::V1::UndeployModelRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
  • options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. 
def undeploy_model(name: nil) -> ::Gapic::Operation
Pass arguments to undeploy_model via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).
Parameter
  • name (::String) — Required. Resource name of the model to undeploy.
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)
Returns
  • (::Gapic::Operation)
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::UndeployModelRequest.new

# Call the undeploy_model method.
result = client.undeploy_model request

# The returned object is of type Gapic::Operation. You can use this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
end

#update_dataset

def update_dataset(request, options = nil) -> ::Google::Cloud::AutoML::V1::Dataset
def update_dataset(dataset: nil, update_mask: nil) -> ::Google::Cloud::AutoML::V1::Dataset

Updates a dataset.

Overloads 
def update_dataset(request, options = nil) -> ::Google::Cloud::AutoML::V1::Dataset
Pass arguments to update_dataset via a request object, either of type UpdateDatasetRequest or an equivalent Hash.
Parameters
  • request (::Google::Cloud::AutoML::V1::UpdateDatasetRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
  • options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. 
def update_dataset(dataset: nil, update_mask: nil) -> ::Google::Cloud::AutoML::V1::Dataset
Pass arguments to update_dataset via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).
Parameters
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
Returns
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::UpdateDatasetRequest.new

# Call the update_dataset method.
result = client.update_dataset request

# The returned object is of type Google::Cloud::AutoML::V1::Dataset.
p result

#update_model

def update_model(request, options = nil) -> ::Google::Cloud::AutoML::V1::Model
def update_model(model: nil, update_mask: nil) -> ::Google::Cloud::AutoML::V1::Model

Updates a model.

Overloads 
def update_model(request, options = nil) -> ::Google::Cloud::AutoML::V1::Model
Pass arguments to update_model via a request object, either of type UpdateModelRequest or an equivalent Hash.
Parameters
  • request (::Google::Cloud::AutoML::V1::UpdateModelRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
  • options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. 
def update_model(model: nil, update_mask: nil) -> ::Google::Cloud::AutoML::V1::Model
Pass arguments to update_model via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).
Parameters
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
Returns
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::UpdateModelRequest.new

# Call the update_model method.
result = client.update_model request

# The returned object is of type Google::Cloud::AutoML::V1::Model.
p result