Package cloud.google.com/go/automl/apiv1beta1

Package automl is an auto-generated package for the Cloud AutoML API.

Train high-quality custom machine learning models with minimum effort and machine learning expertise.

 NOTE: This package is in beta. It is not stable, and may be subject to changes.

Use of Context

The ctx passed to NewClient is used for authentication requests and for creating the underlying connection, but is not used for subsequent calls. Individual methods on the client use the ctx given to them.

To close the open connection, use the Close() method.

For information about setting deadlines, reusing contexts, and more please visit https://pkg.go.dev/cloud.google.com/go .

Functions

func DefaultAuthScopes

 func DefaultAuthScopes() [] string

DefaultAuthScopes reports the default set of authentication scopes to use with this package.

BatchPredictOperation

 type BatchPredictOperation struct {
	// contains filtered or unexported fields
}

BatchPredictOperation manages a long-running operation from BatchPredict.

func (*BatchPredictOperation) Done

 func (op * BatchPredictOperation 
) Done() bool

Done reports whether the long-running operation has completed.

func (*BatchPredictOperation) Metadata

 func (op * BatchPredictOperation 
) Metadata() (* automlpb 
. OperationMetadata 
, error 
)

Metadata returns metadata associated with the long-running operation. Metadata itself does not contact the server, but Poll does. To get the latest metadata, call this method after a successful call to Poll. If the metadata is not available, the returned metadata and error are both nil.

func (*BatchPredictOperation) Name

 func (op * BatchPredictOperation 
) Name() string

Name returns the name of the long-running operation. The name is assigned by the server and is unique within the service from which the operation is created.

func (*BatchPredictOperation) Poll

 func (op * BatchPredictOperation 
) Poll(ctx context 
. Context 
, opts ... gax 
. CallOption 
) (* automlpb 
. BatchPredictResult 
, error 
)

Poll fetches the latest state of the long-running operation.

Poll also fetches the latest metadata, which can be retrieved by Metadata.

If Poll fails, the error is returned and op is unmodified. If Poll succeeds and the operation has completed with failure, the error is returned and op.Done will return true. If Poll succeeds and the operation has completed successfully, op.Done will return true, and the response of the operation is returned. If Poll succeeds and the operation has not completed, the returned response and error are both nil.

func (*BatchPredictOperation) Wait

 func (op * BatchPredictOperation 
) Wait(ctx context 
. Context 
, opts ... gax 
. CallOption 
) (* automlpb 
. BatchPredictResult 
, error 
)

Wait blocks until the long-running operation is completed, returning the response and any errors encountered.

See documentation of Poll for error-handling information.

CallOptions

 type CallOptions struct {
	CreateDataset           [] gax 
. CallOption 
GetDataset              [] gax 
. CallOption 
ListDatasets            [] gax 
. CallOption 
UpdateDataset           [] gax 
. CallOption 
DeleteDataset           [] gax 
. CallOption 
ImportData              [] gax 
. CallOption 
ExportData              [] gax 
. CallOption 
GetAnnotationSpec       [] gax 
. CallOption 
GetTableSpec            [] gax 
. CallOption 
ListTableSpecs          [] gax 
. CallOption 
UpdateTableSpec         [] gax 
. CallOption 
GetColumnSpec           [] gax 
. CallOption 
ListColumnSpecs         [] gax 
. CallOption 
UpdateColumnSpec        [] gax 
. CallOption 
CreateModel             [] gax 
. CallOption 
GetModel                [] gax 
. CallOption 
ListModels              [] gax 
. CallOption 
DeleteModel             [] gax 
. CallOption 
DeployModel             [] gax 
. CallOption 
UndeployModel           [] gax 
. CallOption 
ExportModel             [] gax 
. CallOption 
ExportEvaluatedExamples [] gax 
. CallOption 
GetModelEvaluation      [] gax 
. CallOption 
ListModelEvaluations    [] gax 
. CallOption 
}

CallOptions contains the retry settings for each method of Client.

Client

 type Client struct {

	// The call options for this service.
	CallOptions * CallOptions 
// LROClient is used internally to handle long-running operations.
	// It is exposed so that its CallOptions can be modified if required.
	// Users should not Close this client.
	LROClient * lroauto 
. OperationsClient 
// contains filtered or unexported fields
}

Client is a client for interacting with Cloud AutoML API. Methods, except Close, may be called concurrently. However, fields must not be modified concurrently with method calls.

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 kebab-case, either of those cases is accepted.

func NewClient

 func NewClient(ctx context 
. Context 
, opts ... option 
. ClientOption 
) (* Client 
, error 
)

NewClient creates a new auto ml client based on gRPC. The returned client must be Closed when it is done being used to clean up its underlying connections.

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 kebab-case, either of those cases is accepted.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	// TODO: Use client.
	_ = c
}

func (*Client) Close

 func (c * Client 
) Close() error

Close closes the connection to the API service. The user should invoke this when the client is no longer required.

func (*Client) Connection

 func (c * Client 
) Connection() * grpc 
. ClientConn

Connection returns a connection to the API service.

Deprecated.

func (*Client) CreateDataset

 func (c * Client 
) CreateDataset(ctx context 
. Context 
, req * automlpb 
. CreateDatasetRequest 
, opts ... gax 
. CallOption 
) (* automlpb 
. Dataset 
, error 
)

CreateDataset creates a dataset.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.CreateDatasetRequest{
		// TODO: Fill request struct fields.
	}
	resp, err := c.CreateDataset(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

func (*Client) CreateModel

 func (c * Client 
) CreateModel(ctx context 
. Context 
, req * automlpb 
. CreateModelRequest 
, opts ... gax 
. CallOption 
) (* CreateModelOperation 
, error 
)

CreateModel 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.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.CreateModelRequest{
		// TODO: Fill request struct fields.
	}
	op, err := c.CreateModel(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}

	resp, err := op.Wait(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

func (*Client) CreateModelOperation

 func (c * Client 
) CreateModelOperation(name string 
) * CreateModelOperation

CreateModelOperation returns a new CreateModelOperation from a given name. The name must be that of a previously created CreateModelOperation, possibly from a different process.

func (*Client) DeleteDataset

 func (c * Client 
) DeleteDataset(ctx context 
. Context 
, req * automlpb 
. DeleteDatasetRequest 
, opts ... gax 
. CallOption 
) (* DeleteDatasetOperation 
, error 
)

DeleteDataset 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.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.DeleteDatasetRequest{
		// TODO: Fill request struct fields.
	}
	op, err := c.DeleteDataset(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}

	err = op.Wait(ctx)
	if err != nil {
		// TODO: Handle error.
	}
}

func (*Client) DeleteDatasetOperation

 func (c * Client 
) DeleteDatasetOperation(name string 
) * DeleteDatasetOperation

DeleteDatasetOperation returns a new DeleteDatasetOperation from a given name. The name must be that of a previously created DeleteDatasetOperation, possibly from a different process.

func (*Client) DeleteModel

 func (c * Client 
) DeleteModel(ctx context 
. Context 
, req * automlpb 
. DeleteModelRequest 
, opts ... gax 
. CallOption 
) (* DeleteModelOperation 
, error 
)

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

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.DeleteModelRequest{
		// TODO: Fill request struct fields.
	}
	op, err := c.DeleteModel(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}

	err = op.Wait(ctx)
	if err != nil {
		// TODO: Handle error.
	}
}

func (*Client) DeleteModelOperation

 func (c * Client 
) DeleteModelOperation(name string 
) * DeleteModelOperation

DeleteModelOperation returns a new DeleteModelOperation from a given name. The name must be that of a previously created DeleteModelOperation, possibly from a different process.

func (*Client) DeployModel

 func (c * Client 
) DeployModel(ctx context 
. Context 
, req * automlpb 
. DeployModelRequest 
, opts ... gax 
. CallOption 
) (* DeployModelOperation 
, error 
)

DeployModel 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) 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.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.DeployModelRequest{
		// TODO: Fill request struct fields.
	}
	op, err := c.DeployModel(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}

	err = op.Wait(ctx)
	if err != nil {
		// TODO: Handle error.
	}
}

func (*Client) DeployModelOperation

 func (c * Client 
) DeployModelOperation(name string 
) * DeployModelOperation

DeployModelOperation returns a new DeployModelOperation from a given name. The name must be that of a previously created DeployModelOperation, possibly from a different process.

func (*Client) ExportData

 func (c * Client 
) ExportData(ctx context 
. Context 
, req * automlpb 
. ExportDataRequest 
, opts ... gax 
. CallOption 
) (* ExportDataOperation 
, error 
)

ExportData exports dataset’s data to the provided output location. Returns an empty response in the response field when it completes.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.ExportDataRequest{
		// TODO: Fill request struct fields.
	}
	op, err := c.ExportData(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}

	err = op.Wait(ctx)
	if err != nil {
		// TODO: Handle error.
	}
}

func (*Client) ExportDataOperation

 func (c * Client 
) ExportDataOperation(name string 
) * ExportDataOperation

ExportDataOperation returns a new ExportDataOperation from a given name. The name must be that of a previously created ExportDataOperation, possibly from a different process.

func (*Client) ExportEvaluatedExamples

 func (c * Client 
) ExportEvaluatedExamples(ctx context 
. Context 
, req * automlpb 
. ExportEvaluatedExamplesRequest 
, opts ... gax 
. CallOption 
) (* ExportEvaluatedExamplesOperation 
, error 
)

ExportEvaluatedExamples exports examples on which the model was evaluated (i.e. which were in the TEST set of the dataset the model was created from), together with their ground truth annotations and the annotations created (predicted) by the model. The examples, ground truth and predictions are exported in the state they were at the moment the model was evaluated.

This export is available only for 30 days since the model evaluation is created.

Currently only available for Tables.

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

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.ExportEvaluatedExamplesRequest{
		// TODO: Fill request struct fields.
	}
	op, err := c.ExportEvaluatedExamples(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}

	err = op.Wait(ctx)
	if err != nil {
		// TODO: Handle error.
	}
}

func (*Client) ExportEvaluatedExamplesOperation

 func (c * Client 
) ExportEvaluatedExamplesOperation(name string 
) * ExportEvaluatedExamplesOperation

ExportEvaluatedExamplesOperation returns a new ExportEvaluatedExamplesOperation from a given name. The name must be that of a previously created ExportEvaluatedExamplesOperation, possibly from a different process.

func (*Client) ExportModel

 func (c * Client 
) ExportModel(ctx context 
. Context 
, req * automlpb 
. ExportModelRequest 
, opts ... gax 
. CallOption 
) (* ExportModelOperation 
, error 
)

ExportModel 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.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.ExportModelRequest{
		// TODO: Fill request struct fields.
	}
	op, err := c.ExportModel(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}

	err = op.Wait(ctx)
	if err != nil {
		// TODO: Handle error.
	}
}

func (*Client) ExportModelOperation

 func (c * Client 
) ExportModelOperation(name string 
) * ExportModelOperation

ExportModelOperation returns a new ExportModelOperation from a given name. The name must be that of a previously created ExportModelOperation, possibly from a different process.

func (*Client) GetAnnotationSpec

 func (c * Client 
) GetAnnotationSpec(ctx context 
. Context 
, req * automlpb 
. GetAnnotationSpecRequest 
, opts ... gax 
. CallOption 
) (* automlpb 
. AnnotationSpec 
, error 
)

GetAnnotationSpec gets an annotation spec.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.GetAnnotationSpecRequest{
		// TODO: Fill request struct fields.
	}
	resp, err := c.GetAnnotationSpec(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

func (*Client) GetColumnSpec

 func (c * Client 
) GetColumnSpec(ctx context 
. Context 
, req * automlpb 
. GetColumnSpecRequest 
, opts ... gax 
. CallOption 
) (* automlpb 
. ColumnSpec 
, error 
)

GetColumnSpec gets a column spec.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.GetColumnSpecRequest{
		// TODO: Fill request struct fields.
	}
	resp, err := c.GetColumnSpec(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

func (*Client) GetDataset

 func (c * Client 
) GetDataset(ctx context 
. Context 
, req * automlpb 
. GetDatasetRequest 
, opts ... gax 
. CallOption 
) (* automlpb 
. Dataset 
, error 
)

GetDataset gets a dataset.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.GetDatasetRequest{
		// TODO: Fill request struct fields.
	}
	resp, err := c.GetDataset(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

func (*Client) GetModel

 func (c * Client 
) GetModel(ctx context 
. Context 
, req * automlpb 
. GetModelRequest 
, opts ... gax 
. CallOption 
) (* automlpb 
. Model 
, error 
)

GetModel gets a model.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.GetModelRequest{
		// TODO: Fill request struct fields.
	}
	resp, err := c.GetModel(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

func (*Client) GetModelEvaluation

 func (c * Client 
) GetModelEvaluation(ctx context 
. Context 
, req * automlpb 
. GetModelEvaluationRequest 
, opts ... gax 
. CallOption 
) (* automlpb 
. ModelEvaluation 
, error 
)

GetModelEvaluation gets a model evaluation.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.GetModelEvaluationRequest{
		// TODO: Fill request struct fields.
	}
	resp, err := c.GetModelEvaluation(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

func (*Client) GetTableSpec

 func (c * Client 
) GetTableSpec(ctx context 
. Context 
, req * automlpb 
. GetTableSpecRequest 
, opts ... gax 
. CallOption 
) (* automlpb 
. TableSpec 
, error 
)

GetTableSpec gets a table spec.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.GetTableSpecRequest{
		// TODO: Fill request struct fields.
	}
	resp, err := c.GetTableSpec(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

func (*Client) ImportData

 func (c * Client 
) ImportData(ctx context 
. Context 
, req * automlpb 
. ImportDataRequest 
, opts ... gax 
. CallOption 
) (* ImportDataOperation 
, error 
)

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

For Tables:

A schema_inference_version parameter must be explicitly set. Returns an empty response in the response field when it completes.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.ImportDataRequest{
		// TODO: Fill request struct fields.
	}
	op, err := c.ImportData(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}

	err = op.Wait(ctx)
	if err != nil {
		// TODO: Handle error.
	}
}

func (*Client) ImportDataOperation

 func (c * Client 
) ImportDataOperation(name string 
) * ImportDataOperation

ImportDataOperation returns a new ImportDataOperation from a given name. The name must be that of a previously created ImportDataOperation, possibly from a different process.

func (*Client) ListColumnSpecs

 func (c * Client 
) ListColumnSpecs(ctx context 
. Context 
, req * automlpb 
. ListColumnSpecsRequest 
, opts ... gax 
. CallOption 
) * ColumnSpecIterator

ListColumnSpecs lists column specs in a table spec.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	"google.golang.org/api/iterator"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.ListColumnSpecsRequest{
		// TODO: Fill request struct fields.
	}
	it := c.ListColumnSpecs(ctx, req)
	for {
		resp, err := it.Next()
		if err == iterator.Done {
			break
		}
		if err != nil {
			// TODO: Handle error.
		}
		// TODO: Use resp.
		_ = resp
	}
}

func (*Client) ListDatasets

 func (c * Client 
) ListDatasets(ctx context 
. Context 
, req * automlpb 
. ListDatasetsRequest 
, opts ... gax 
. CallOption 
) * DatasetIterator

ListDatasets lists datasets in a project.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	"google.golang.org/api/iterator"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.ListDatasetsRequest{
		// TODO: Fill request struct fields.
	}
	it := c.ListDatasets(ctx, req)
	for {
		resp, err := it.Next()
		if err == iterator.Done {
			break
		}
		if err != nil {
			// TODO: Handle error.
		}
		// TODO: Use resp.
		_ = resp
	}
}

func (*Client) ListModelEvaluations

 func (c * Client 
) ListModelEvaluations(ctx context 
. Context 
, req * automlpb 
. ListModelEvaluationsRequest 
, opts ... gax 
. CallOption 
) * ModelEvaluationIterator

ListModelEvaluations lists model evaluations.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	"google.golang.org/api/iterator"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.ListModelEvaluationsRequest{
		// TODO: Fill request struct fields.
	}
	it := c.ListModelEvaluations(ctx, req)
	for {
		resp, err := it.Next()
		if err == iterator.Done {
			break
		}
		if err != nil {
			// TODO: Handle error.
		}
		// TODO: Use resp.
		_ = resp
	}
}

func (*Client) ListModels

 func (c * Client 
) ListModels(ctx context 
. Context 
, req * automlpb 
. ListModelsRequest 
, opts ... gax 
. CallOption 
) * ModelIterator

ListModels lists models.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	"google.golang.org/api/iterator"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.ListModelsRequest{
		// TODO: Fill request struct fields.
	}
	it := c.ListModels(ctx, req)
	for {
		resp, err := it.Next()
		if err == iterator.Done {
			break
		}
		if err != nil {
			// TODO: Handle error.
		}
		// TODO: Use resp.
		_ = resp
	}
}

func (*Client) ListTableSpecs

 func (c * Client 
) ListTableSpecs(ctx context 
. Context 
, req * automlpb 
. ListTableSpecsRequest 
, opts ... gax 
. CallOption 
) * TableSpecIterator

ListTableSpecs lists table specs in a dataset.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	"google.golang.org/api/iterator"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.ListTableSpecsRequest{
		// TODO: Fill request struct fields.
	}
	it := c.ListTableSpecs(ctx, req)
	for {
		resp, err := it.Next()
		if err == iterator.Done {
			break
		}
		if err != nil {
			// TODO: Handle error.
		}
		// TODO: Use resp.
		_ = resp
	}
}

func (*Client) UndeployModel

 func (c * Client 
) UndeployModel(ctx context 
. Context 
, req * automlpb 
. UndeployModelRequest 
, opts ... gax 
. CallOption 
) (* UndeployModelOperation 
, error 
)

UndeployModel 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.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.UndeployModelRequest{
		// TODO: Fill request struct fields.
	}
	op, err := c.UndeployModel(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}

	err = op.Wait(ctx)
	if err != nil {
		// TODO: Handle error.
	}
}

func (*Client) UndeployModelOperation

 func (c * Client 
) UndeployModelOperation(name string 
) * UndeployModelOperation

UndeployModelOperation returns a new UndeployModelOperation from a given name. The name must be that of a previously created UndeployModelOperation, possibly from a different process.

func (*Client) UpdateColumnSpec

 func (c * Client 
) UpdateColumnSpec(ctx context 
. Context 
, req * automlpb 
. UpdateColumnSpecRequest 
, opts ... gax 
. CallOption 
) (* automlpb 
. ColumnSpec 
, error 
)

UpdateColumnSpec updates a column spec.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.UpdateColumnSpecRequest{
		// TODO: Fill request struct fields.
	}
	resp, err := c.UpdateColumnSpec(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

func (*Client) UpdateDataset

 func (c * Client 
) UpdateDataset(ctx context 
. Context 
, req * automlpb 
. UpdateDatasetRequest 
, opts ... gax 
. CallOption 
) (* automlpb 
. Dataset 
, error 
)

UpdateDataset updates a dataset.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.UpdateDatasetRequest{
		// TODO: Fill request struct fields.
	}
	resp, err := c.UpdateDataset(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

func (*Client) UpdateTableSpec

 func (c * Client 
) UpdateTableSpec(ctx context 
. Context 
, req * automlpb 
. UpdateTableSpecRequest 
, opts ... gax 
. CallOption 
) (* automlpb 
. TableSpec 
, error 
)

UpdateTableSpec updates a table spec.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.UpdateTableSpecRequest{
		// TODO: Fill request struct fields.
	}
	resp, err := c.UpdateTableSpec(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

ColumnSpecIterator

 type ColumnSpecIterator struct {

	// Response is the raw response for the current page.
	// It must be cast to the RPC response type.
	// Calling Next() or InternalFetch() updates this value.
	Response interface{}

	// InternalFetch is for use by the Google Cloud Libraries only.
	// It is not part of the stable interface of this package.
	//
	// InternalFetch returns results from a single call to the underlying RPC.
	// The number of results is no greater than pageSize.
	// If there are no more results, nextPageToken is empty and err is nil.
	InternalFetch func(pageSize int 
, pageToken string 
) (results []* automlpb 
. ColumnSpec 
, nextPageToken string 
, err error 
)
	// contains filtered or unexported fields
}

ColumnSpecIterator manages a stream of *automlpb.ColumnSpec.

func (*ColumnSpecIterator) Next

 func (it * ColumnSpecIterator 
) Next() (* automlpb 
. ColumnSpec 
, error 
)

Next returns the next result. Its second return value is iterator.Done if there are no more results. Once Next returns Done, all subsequent calls will return Done.

func (*ColumnSpecIterator) PageInfo

 func (it * ColumnSpecIterator 
) PageInfo() * iterator 
. PageInfo

PageInfo supports pagination. See the google.golang.org/api/iterator package for details.

CreateModelOperation

 type CreateModelOperation struct {
	// contains filtered or unexported fields
}

CreateModelOperation manages a long-running operation from CreateModel.

func (*CreateModelOperation) Done

 func (op * CreateModelOperation 
) Done() bool

Done reports whether the long-running operation has completed.

func (*CreateModelOperation) Metadata

 func (op * CreateModelOperation 
) Metadata() (* automlpb 
. OperationMetadata 
, error 
)

func (*CreateModelOperation) Name

 func (op * CreateModelOperation 
) Name() string

Name returns the name of the long-running operation. The name is assigned by the server and is unique within the service from which the operation is created.

func (*CreateModelOperation) Poll

 func (op * CreateModelOperation 
) Poll(ctx context 
. Context 
, opts ... gax 
. CallOption 
) (* automlpb 
. Model 
, error 
)

Poll fetches the latest state of the long-running operation.

Poll also fetches the latest metadata, which can be retrieved by Metadata.

func (*CreateModelOperation) Wait

 func (op * CreateModelOperation 
) Wait(ctx context 
. Context 
, opts ... gax 
. CallOption 
) (* automlpb 
. Model 
, error 
)

Wait blocks until the long-running operation is completed, returning the response and any errors encountered.

See documentation of Poll for error-handling information.

DatasetIterator

 type DatasetIterator struct {

	// Response is the raw response for the current page.
	// It must be cast to the RPC response type.
	// Calling Next() or InternalFetch() updates this value.
	Response interface{}

	// InternalFetch is for use by the Google Cloud Libraries only.
	// It is not part of the stable interface of this package.
	//
	// InternalFetch returns results from a single call to the underlying RPC.
	// The number of results is no greater than pageSize.
	// If there are no more results, nextPageToken is empty and err is nil.
	InternalFetch func(pageSize int 
, pageToken string 
) (results []* automlpb 
. Dataset 
, nextPageToken string 
, err error 
)
	// contains filtered or unexported fields
}

DatasetIterator manages a stream of *automlpb.Dataset.

func (*DatasetIterator) Next

 func (it * DatasetIterator 
) Next() (* automlpb 
. Dataset 
, error 
)

Next returns the next result. Its second return value is iterator.Done if there are no more results. Once Next returns Done, all subsequent calls will return Done.

func (*DatasetIterator) PageInfo

 func (it * DatasetIterator 
) PageInfo() * iterator 
. PageInfo

PageInfo supports pagination. See the google.golang.org/api/iterator package for details.

DeleteDatasetOperation

 type DeleteDatasetOperation struct {
	// contains filtered or unexported fields
}

DeleteDatasetOperation manages a long-running operation from DeleteDataset.

func (*DeleteDatasetOperation) Done

 func (op * DeleteDatasetOperation 
) Done() bool

Done reports whether the long-running operation has completed.

func (*DeleteDatasetOperation) Metadata

 func (op * DeleteDatasetOperation 
) Metadata() (* automlpb 
. OperationMetadata 
, error 
)

func (*DeleteDatasetOperation) Name

 func (op * DeleteDatasetOperation 
) Name() string

Name returns the name of the long-running operation. The name is assigned by the server and is unique within the service from which the operation is created.

func (*DeleteDatasetOperation) Poll

 func (op * DeleteDatasetOperation 
) Poll(ctx context 
. Context 
, opts ... gax 
. CallOption 
) error

Poll fetches the latest state of the long-running operation.

Poll also fetches the latest metadata, which can be retrieved by Metadata.

func (*DeleteDatasetOperation) Wait

 func (op * DeleteDatasetOperation 
) Wait(ctx context 
. Context 
, opts ... gax 
. CallOption 
) error

Wait blocks until the long-running operation is completed, returning the response and any errors encountered.

See documentation of Poll for error-handling information.

DeleteModelOperation

 type DeleteModelOperation struct {
	// contains filtered or unexported fields
}

DeleteModelOperation manages a long-running operation from DeleteModel.

func (*DeleteModelOperation) Done

 func (op * DeleteModelOperation 
) Done() bool

Done reports whether the long-running operation has completed.

func (*DeleteModelOperation) Metadata

 func (op * DeleteModelOperation 
) Metadata() (* automlpb 
. OperationMetadata 
, error 
)

func (*DeleteModelOperation) Name

 func (op * DeleteModelOperation 
) Name() string

Name returns the name of the long-running operation. The name is assigned by the server and is unique within the service from which the operation is created.

func (*DeleteModelOperation) Poll

 func (op * DeleteModelOperation 
) Poll(ctx context 
. Context 
, opts ... gax 
. CallOption 
) error

Poll fetches the latest state of the long-running operation.

Poll also fetches the latest metadata, which can be retrieved by Metadata.

func (*DeleteModelOperation) Wait

 func (op * DeleteModelOperation 
) Wait(ctx context 
. Context 
, opts ... gax 
. CallOption 
) error

Wait blocks until the long-running operation is completed, returning the response and any errors encountered.

See documentation of Poll for error-handling information.

DeployModelOperation

 type DeployModelOperation struct {
	// contains filtered or unexported fields
}

DeployModelOperation manages a long-running operation from DeployModel.

func (*DeployModelOperation) Done

 func (op * DeployModelOperation 
) Done() bool

Done reports whether the long-running operation has completed.

func (*DeployModelOperation) Metadata

 func (op * DeployModelOperation 
) Metadata() (* automlpb 
. OperationMetadata 
, error 
)

func (*DeployModelOperation) Name

 func (op * DeployModelOperation 
) Name() string

Name returns the name of the long-running operation. The name is assigned by the server and is unique within the service from which the operation is created.

func (*DeployModelOperation) Poll

 func (op * DeployModelOperation 
) Poll(ctx context 
. Context 
, opts ... gax 
. CallOption 
) error

Poll fetches the latest state of the long-running operation.

Poll also fetches the latest metadata, which can be retrieved by Metadata.

func (*DeployModelOperation) Wait

 func (op * DeployModelOperation 
) Wait(ctx context 
. Context 
, opts ... gax 
. CallOption 
) error

Wait blocks until the long-running operation is completed, returning the response and any errors encountered.

See documentation of Poll for error-handling information.

ExportDataOperation

 type ExportDataOperation struct {
	// contains filtered or unexported fields
}

ExportDataOperation manages a long-running operation from ExportData.

func (*ExportDataOperation) Done

 func (op * ExportDataOperation 
) Done() bool

Done reports whether the long-running operation has completed.

func (*ExportDataOperation) Metadata

 func (op * ExportDataOperation 
) Metadata() (* automlpb 
. OperationMetadata 
, error 
)

func (*ExportDataOperation) Name

 func (op * ExportDataOperation 
) Name() string

Name returns the name of the long-running operation. The name is assigned by the server and is unique within the service from which the operation is created.

func (*ExportDataOperation) Poll

 func (op * ExportDataOperation 
) Poll(ctx context 
. Context 
, opts ... gax 
. CallOption 
) error

Poll fetches the latest state of the long-running operation.

Poll also fetches the latest metadata, which can be retrieved by Metadata.

func (*ExportDataOperation) Wait

 func (op * ExportDataOperation 
) Wait(ctx context 
. Context 
, opts ... gax 
. CallOption 
) error

Wait blocks until the long-running operation is completed, returning the response and any errors encountered.

See documentation of Poll for error-handling information.

ExportEvaluatedExamplesOperation

 type ExportEvaluatedExamplesOperation struct {
	// contains filtered or unexported fields
}

ExportEvaluatedExamplesOperation manages a long-running operation from ExportEvaluatedExamples.

func (*ExportEvaluatedExamplesOperation) Done

 func (op * ExportEvaluatedExamplesOperation 
) Done() bool

Done reports whether the long-running operation has completed.

func (*ExportEvaluatedExamplesOperation) Metadata

 func (op * ExportEvaluatedExamplesOperation 
) Metadata() (* automlpb 
. OperationMetadata 
, error 
)

func (*ExportEvaluatedExamplesOperation) Name

 func (op * ExportEvaluatedExamplesOperation 
) Name() string

Name returns the name of the long-running operation. The name is assigned by the server and is unique within the service from which the operation is created.

func (*ExportEvaluatedExamplesOperation) Poll

 func (op * ExportEvaluatedExamplesOperation 
) Poll(ctx context 
. Context 
, opts ... gax 
. CallOption 
) error

Poll fetches the latest state of the long-running operation.

Poll also fetches the latest metadata, which can be retrieved by Metadata.

func (*ExportEvaluatedExamplesOperation) Wait

 func (op * ExportEvaluatedExamplesOperation 
) Wait(ctx context 
. Context 
, opts ... gax 
. CallOption 
) error

Wait blocks until the long-running operation is completed, returning the response and any errors encountered.

See documentation of Poll for error-handling information.

ExportModelOperation

 type ExportModelOperation struct {
	// contains filtered or unexported fields
}

ExportModelOperation manages a long-running operation from ExportModel.

func (*ExportModelOperation) Done

 func (op * ExportModelOperation 
) Done() bool

Done reports whether the long-running operation has completed.

func (*ExportModelOperation) Metadata

 func (op * ExportModelOperation 
) Metadata() (* automlpb 
. OperationMetadata 
, error 
)

func (*ExportModelOperation) Name

 func (op * ExportModelOperation 
) Name() string

Name returns the name of the long-running operation. The name is assigned by the server and is unique within the service from which the operation is created.

func (*ExportModelOperation) Poll

 func (op * ExportModelOperation 
) Poll(ctx context 
. Context 
, opts ... gax 
. CallOption 
) error

Poll fetches the latest state of the long-running operation.

Poll also fetches the latest metadata, which can be retrieved by Metadata.

func (*ExportModelOperation) Wait

 func (op * ExportModelOperation 
) Wait(ctx context 
. Context 
, opts ... gax 
. CallOption 
) error

Wait blocks until the long-running operation is completed, returning the response and any errors encountered.

See documentation of Poll for error-handling information.

ImportDataOperation

 type ImportDataOperation struct {
	// contains filtered or unexported fields
}

ImportDataOperation manages a long-running operation from ImportData.

func (*ImportDataOperation) Done

 func (op * ImportDataOperation 
) Done() bool

Done reports whether the long-running operation has completed.

func (*ImportDataOperation) Metadata

 func (op * ImportDataOperation 
) Metadata() (* automlpb 
. OperationMetadata 
, error 
)

func (*ImportDataOperation) Name

 func (op * ImportDataOperation 
) Name() string

Name returns the name of the long-running operation. The name is assigned by the server and is unique within the service from which the operation is created.

func (*ImportDataOperation) Poll

 func (op * ImportDataOperation 
) Poll(ctx context 
. Context 
, opts ... gax 
. CallOption 
) error

Poll fetches the latest state of the long-running operation.

Poll also fetches the latest metadata, which can be retrieved by Metadata.

func (*ImportDataOperation) Wait

 func (op * ImportDataOperation 
) Wait(ctx context 
. Context 
, opts ... gax 
. CallOption 
) error

Wait blocks until the long-running operation is completed, returning the response and any errors encountered.

See documentation of Poll for error-handling information.

ModelEvaluationIterator

 type ModelEvaluationIterator struct {

	// Response is the raw response for the current page.
	// It must be cast to the RPC response type.
	// Calling Next() or InternalFetch() updates this value.
	Response interface{}

	// InternalFetch is for use by the Google Cloud Libraries only.
	// It is not part of the stable interface of this package.
	//
	// InternalFetch returns results from a single call to the underlying RPC.
	// The number of results is no greater than pageSize.
	// If there are no more results, nextPageToken is empty and err is nil.
	InternalFetch func(pageSize int 
, pageToken string 
) (results []* automlpb 
. ModelEvaluation 
, nextPageToken string 
, err error 
)
	// contains filtered or unexported fields
}

ModelEvaluationIterator manages a stream of *automlpb.ModelEvaluation.

func (*ModelEvaluationIterator) Next

 func (it * ModelEvaluationIterator 
) Next() (* automlpb 
. ModelEvaluation 
, error 
)

Next returns the next result. Its second return value is iterator.Done if there are no more results. Once Next returns Done, all subsequent calls will return Done.

func (*ModelEvaluationIterator) PageInfo

 func (it * ModelEvaluationIterator 
) PageInfo() * iterator 
. PageInfo

PageInfo supports pagination. See the google.golang.org/api/iterator package for details.

ModelIterator

 type ModelIterator struct {

	// Response is the raw response for the current page.
	// It must be cast to the RPC response type.
	// Calling Next() or InternalFetch() updates this value.
	Response interface{}

	// InternalFetch is for use by the Google Cloud Libraries only.
	// It is not part of the stable interface of this package.
	//
	// InternalFetch returns results from a single call to the underlying RPC.
	// The number of results is no greater than pageSize.
	// If there are no more results, nextPageToken is empty and err is nil.
	InternalFetch func(pageSize int 
, pageToken string 
) (results []* automlpb 
. Model 
, nextPageToken string 
, err error 
)
	// contains filtered or unexported fields
}

ModelIterator manages a stream of *automlpb.Model.

func (*ModelIterator) Next

 func (it * ModelIterator 
) Next() (* automlpb 
. Model 
, error 
)

Next returns the next result. Its second return value is iterator.Done if there are no more results. Once Next returns Done, all subsequent calls will return Done.

func (*ModelIterator) PageInfo

 func (it * ModelIterator 
) PageInfo() * iterator 
. PageInfo

PageInfo supports pagination. See the google.golang.org/api/iterator package for details.

PredictionCallOptions

 type PredictionCallOptions struct {
	Predict      [] gax 
. CallOption 
BatchPredict [] gax 
. CallOption 
}

PredictionCallOptions contains the retry settings for each method of PredictionClient.

PredictionClient

 type PredictionClient struct {

	// The call options for this service.
	CallOptions * PredictionCallOptions 
// LROClient is used internally to handle long-running operations.
	// It is exposed so that its CallOptions can be modified if required.
	// Users should not Close this client.
	LROClient * lroauto 
. OperationsClient 
// contains filtered or unexported fields
}

PredictionClient is a client for interacting with Cloud AutoML API. Methods, except Close, may be called concurrently. However, fields must not be modified concurrently with method calls.

AutoML Prediction API.

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

func NewPredictionClient

 func NewPredictionClient(ctx context 
. Context 
, opts ... option 
. ClientOption 
) (* PredictionClient 
, error 
)

NewPredictionClient creates a new prediction service client based on gRPC. The returned client must be Closed when it is done being used to clean up its underlying connections.

AutoML Prediction API.

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

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewPredictionClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	// TODO: Use client.
	_ = c
}

func (*PredictionClient) BatchPredict

 func (c * PredictionClient 
) BatchPredict(ctx context 
. Context 
, req * automlpb 
. BatchPredictRequest 
, opts ... gax 
. CallOption 
) (* BatchPredictOperation 
, error 
)

BatchPredict perform a batch prediction. Unlike the online Predict, batch prediction result won’t be immediately available in the response. Instead, a long running operation object is returned. User can poll the operation result via GetOperation method. Once the operation is done, BatchPredictResult is returned in the response field. Available for following ML problems:

Image Classification

Image Object Detection

Video Classification

Video Object Tracking * Text Extraction

Tables

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewPredictionClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.BatchPredictRequest{
		// TODO: Fill request struct fields.
	}
	op, err := c.BatchPredict(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}

	resp, err := op.Wait(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

func (*PredictionClient) BatchPredictOperation

 func (c * PredictionClient 
) BatchPredictOperation(name string 
) * BatchPredictOperation

BatchPredictOperation returns a new BatchPredictOperation from a given name. The name must be that of a previously created BatchPredictOperation, possibly from a different process.

func (*PredictionClient) Close

 func (c * PredictionClient 
) Close() error

Close closes the connection to the API service. The user should invoke this when the client is no longer required.

func (*PredictionClient) Connection

 func (c * PredictionClient 
) Connection() * grpc 
. ClientConn

Connection returns a connection to the API service.

Deprecated.

func (*PredictionClient) Predict

 func (c * PredictionClient 
) Predict(ctx context 
. Context 
, req * automlpb 
. PredictRequest 
, opts ... gax 
. CallOption 
) (* automlpb 
. PredictResponse 
, error 
)

Predict perform an online prediction. The prediction result will be directly returned in the response. Available for following ML problems, and their expected request payloads:

Image Classification - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

Image Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

Text Classification - TextSnippet, content up to 60,000 characters, UTF-8 encoded.

Text Extraction - TextSnippet, content up to 30,000 characters, UTF-8 NFC encoded.

Translation - TextSnippet, content up to 25,000 characters, UTF-8 encoded.

Tables - Row, with column values matching the columns of the model, up to 5MB. Not available for FORECASTING

prediction_type.

Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded.

Example

 package main

import (
	automl "cloud.google.com/go/automl/apiv1beta1"
	"context"
	automlpb "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
)

func main() {
	ctx := context.Background()
	c, err := automl.NewPredictionClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &automlpb.PredictRequest{
		// TODO: Fill request struct fields.
	}
	resp, err := c.Predict(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

TableSpecIterator

 type TableSpecIterator struct {

	// Response is the raw response for the current page.
	// It must be cast to the RPC response type.
	// Calling Next() or InternalFetch() updates this value.
	Response interface{}

	// InternalFetch is for use by the Google Cloud Libraries only.
	// It is not part of the stable interface of this package.
	//
	// InternalFetch returns results from a single call to the underlying RPC.
	// The number of results is no greater than pageSize.
	// If there are no more results, nextPageToken is empty and err is nil.
	InternalFetch func(pageSize int 
, pageToken string 
) (results []* automlpb 
. TableSpec 
, nextPageToken string 
, err error 
)
	// contains filtered or unexported fields
}

TableSpecIterator manages a stream of *automlpb.TableSpec.

func (*TableSpecIterator) Next

 func (it * TableSpecIterator 
) Next() (* automlpb 
. TableSpec 
, error 
)

Next returns the next result. Its second return value is iterator.Done if there are no more results. Once Next returns Done, all subsequent calls will return Done.

func (*TableSpecIterator) PageInfo

 func (it * TableSpecIterator 
) PageInfo() * iterator 
. PageInfo

PageInfo supports pagination. See the google.golang.org/api/iterator package for details.

UndeployModelOperation

 type UndeployModelOperation struct {
	// contains filtered or unexported fields
}

UndeployModelOperation manages a long-running operation from UndeployModel.

func (*UndeployModelOperation) Done

 func (op * UndeployModelOperation 
) Done() bool

Done reports whether the long-running operation has completed.

func (*UndeployModelOperation) Metadata

 func (op * UndeployModelOperation 
) Metadata() (* automlpb 
. OperationMetadata 
, error 
)

func (*UndeployModelOperation) Name

 func (op * UndeployModelOperation 
) Name() string

Name returns the name of the long-running operation. The name is assigned by the server and is unique within the service from which the operation is created.

func (*UndeployModelOperation) Poll

 func (op * UndeployModelOperation 
) Poll(ctx context 
. Context 
, opts ... gax 
. CallOption 
) error

Poll fetches the latest state of the long-running operation.

Poll also fetches the latest metadata, which can be retrieved by Metadata.

func (*UndeployModelOperation) Wait

 func (op * UndeployModelOperation 
) Wait(ctx context 
. Context 
, opts ... gax 
. CallOption 
) error

Wait blocks until the long-running operation is completed, returning the response and any errors encountered.

See documentation of Poll for error-handling information.

Package cloud.google.com/go/automl/apiv1beta1 Stay organized with collections Save and categorize content based on your preferences.

Use of Context

Functions

func DefaultAuthScopes

BatchPredictOperation

func (*BatchPredictOperation) Done

func (*BatchPredictOperation) Metadata

func (*BatchPredictOperation) Name

func (*BatchPredictOperation) Poll

func (*BatchPredictOperation) Wait

CallOptions

Client

func NewClient

Example

func (*Client) Close

func (*Client) Connection

func (*Client) CreateDataset

Example

func (*Client) CreateModel

Example

func (*Client) CreateModelOperation

func (*Client) DeleteDataset

Example

func (*Client) DeleteDatasetOperation

func (*Client) DeleteModel

Example

func (*Client) DeleteModelOperation

func (*Client) DeployModel

Example

func (*Client) DeployModelOperation

func (*Client) ExportData

Example

func (*Client) ExportDataOperation

func (*Client) ExportEvaluatedExamples

Example

func (*Client) ExportEvaluatedExamplesOperation

func (*Client) ExportModel

Example

func (*Client) ExportModelOperation

func (*Client) GetAnnotationSpec

Example

func (*Client) GetColumnSpec

Example

func (*Client) GetDataset

Example

func (*Client) GetModel

Example

func (*Client) GetModelEvaluation

Example

func (*Client) GetTableSpec

Example

func (*Client) ImportData

Example

func (*Client) ImportDataOperation

func (*Client) ListColumnSpecs

Example

func (*Client) ListDatasets

Example

func (*Client) ListModelEvaluations

Example

func (*Client) ListModels

Example

func (*Client) ListTableSpecs

Example

func (*Client) UndeployModel

Example

func (*Client) UndeployModelOperation

func (*Client) UpdateColumnSpec

Example

func (*Client) UpdateDataset

Example

func (*Client) UpdateTableSpec

Example

ColumnSpecIterator

func (*ColumnSpecIterator) Next

func (*ColumnSpecIterator) PageInfo

CreateModelOperation

func (*CreateModelOperation) Done

func (*CreateModelOperation) Metadata

func (*CreateModelOperation) Name

Package cloud.google.com/go/automl/apiv1beta1