Package cloud.google.com/go/aiplatform/apiv1

Package aiplatform is an auto-generated package for the Vertex AI API.

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

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.

AnnotationIterator

type AnnotationIterator 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 []*aiplatformpb.Annotation, nextPageToken string, err error)
	// contains filtered or unexported fields
}

AnnotationIterator manages a stream of *aiplatformpb.Annotation.

func (*AnnotationIterator) Next

func (it *AnnotationIterator) Next() (*aiplatformpb.Annotation, 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 (*AnnotationIterator) PageInfo

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

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

BatchMigrateResourcesOperation

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

BatchMigrateResourcesOperation manages a long-running operation from BatchMigrateResources.

func (*BatchMigrateResourcesOperation) Done

func (op *BatchMigrateResourcesOperation) Done() bool

Done reports whether the long-running operation has completed.

func (*BatchMigrateResourcesOperation) Metadata

func (op *BatchMigrateResourcesOperation) Metadata() (*aiplatformpb.BatchMigrateResourcesOperationMetadata, 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 (*BatchMigrateResourcesOperation) Name

func (op *BatchMigrateResourcesOperation) 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 (*BatchMigrateResourcesOperation) Poll

func (op *BatchMigrateResourcesOperation) Poll(ctx context.Context, opts ...gax.CallOption) (*aiplatformpb.BatchMigrateResourcesResponse, 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 (*BatchMigrateResourcesOperation) Wait

func (op *BatchMigrateResourcesOperation) Wait(ctx context.Context, opts ...gax.CallOption) (*aiplatformpb.BatchMigrateResourcesResponse, 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.

BatchPredictionJobIterator

type BatchPredictionJobIterator 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 []*aiplatformpb.BatchPredictionJob, nextPageToken string, err error)
	// contains filtered or unexported fields
}

BatchPredictionJobIterator manages a stream of *aiplatformpb.BatchPredictionJob.

func (*BatchPredictionJobIterator) Next

func (it *BatchPredictionJobIterator) Next() (*aiplatformpb.BatchPredictionJob, 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 (*BatchPredictionJobIterator) PageInfo

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

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

CreateDatasetOperation

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

CreateDatasetOperation manages a long-running operation from CreateDataset.

func (*CreateDatasetOperation) Done

func (op *CreateDatasetOperation) Done() bool

Done reports whether the long-running operation has completed.

func (*CreateDatasetOperation) Metadata

func (op *CreateDatasetOperation) Metadata() (*aiplatformpb.CreateDatasetOperationMetadata, error)

func (*CreateDatasetOperation) Name

func (op *CreateDatasetOperation) 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 (*CreateDatasetOperation) Poll

func (op *CreateDatasetOperation) Poll(ctx context.Context, opts ...gax.CallOption) (*aiplatformpb.Dataset, error)

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

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

func (*CreateDatasetOperation) Wait

func (op *CreateDatasetOperation) Wait(ctx context.Context, opts ...gax.CallOption) (*aiplatformpb.Dataset, 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.

CreateEndpointOperation

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

CreateEndpointOperation manages a long-running operation from CreateEndpoint.

func (*CreateEndpointOperation) Done

func (op *CreateEndpointOperation) Done() bool

Done reports whether the long-running operation has completed.

func (*CreateEndpointOperation) Metadata

func (op *CreateEndpointOperation) Metadata() (*aiplatformpb.CreateEndpointOperationMetadata, error)

func (*CreateEndpointOperation) Name

func (op *CreateEndpointOperation) 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 (*CreateEndpointOperation) Poll

func (op *CreateEndpointOperation) Poll(ctx context.Context, opts ...gax.CallOption) (*aiplatformpb.Endpoint, error)

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

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

func (*CreateEndpointOperation) Wait

func (op *CreateEndpointOperation) Wait(ctx context.Context, opts ...gax.CallOption) (*aiplatformpb.Endpoint, 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.

CreateSpecialistPoolOperation

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

CreateSpecialistPoolOperation manages a long-running operation from CreateSpecialistPool.

func (*CreateSpecialistPoolOperation) Done

func (op *CreateSpecialistPoolOperation) Done() bool

Done reports whether the long-running operation has completed.

func (*CreateSpecialistPoolOperation) Metadata

func (op *CreateSpecialistPoolOperation) Metadata() (*aiplatformpb.CreateSpecialistPoolOperationMetadata, error)

func (*CreateSpecialistPoolOperation) Name

func (op *CreateSpecialistPoolOperation) 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 (*CreateSpecialistPoolOperation) Poll

func (op *CreateSpecialistPoolOperation) Poll(ctx context.Context, opts ...gax.CallOption) (*aiplatformpb.SpecialistPool, error)

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

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

func (*CreateSpecialistPoolOperation) Wait

func (op *CreateSpecialistPoolOperation) Wait(ctx context.Context, opts ...gax.CallOption) (*aiplatformpb.SpecialistPool, 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.

CustomJobIterator

type CustomJobIterator 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 []*aiplatformpb.CustomJob, nextPageToken string, err error)
	// contains filtered or unexported fields
}

CustomJobIterator manages a stream of *aiplatformpb.CustomJob.

func (*CustomJobIterator) Next

func (it *CustomJobIterator) Next() (*aiplatformpb.CustomJob, 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 (*CustomJobIterator) PageInfo

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

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

DataItemIterator

type DataItemIterator 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 []*aiplatformpb.DataItem, nextPageToken string, err error)
	// contains filtered or unexported fields
}

DataItemIterator manages a stream of *aiplatformpb.DataItem.

func (*DataItemIterator) Next

func (it *DataItemIterator) Next() (*aiplatformpb.DataItem, 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 (*DataItemIterator) PageInfo

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

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

DataLabelingJobIterator

type DataLabelingJobIterator 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 []*aiplatformpb.DataLabelingJob, nextPageToken string, err error)
	// contains filtered or unexported fields
}

DataLabelingJobIterator manages a stream of *aiplatformpb.DataLabelingJob.

func (*DataLabelingJobIterator) Next

func (it *DataLabelingJobIterator) Next() (*aiplatformpb.DataLabelingJob, 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 (*DataLabelingJobIterator) PageInfo

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

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

DatasetCallOptions

type DatasetCallOptions struct {
	CreateDataset     []gax.CallOption
	GetDataset        []gax.CallOption
	UpdateDataset     []gax.CallOption
	ListDatasets      []gax.CallOption
	DeleteDataset     []gax.CallOption
	ImportData        []gax.CallOption
	ExportData        []gax.CallOption
	ListDataItems     []gax.CallOption
	GetAnnotationSpec []gax.CallOption
	ListAnnotations   []gax.CallOption
}

DatasetCallOptions contains the retry settings for each method of DatasetClient.

DatasetClient

type DatasetClient struct {

	// The call options for this service.
	CallOptions *DatasetCallOptions

	// 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
}

DatasetClient is a client for interacting with Vertex AI API. Methods, except Close, may be called concurrently. However, fields must not be modified concurrently with method calls.

func NewDatasetClient

func NewDatasetClient(ctx context.Context, opts ...option.ClientOption) (*DatasetClient, error)

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

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
)

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

	// TODO: Use client.
	_ = c
}

func (*DatasetClient) Close

func (c *DatasetClient) Close() error

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

func (*DatasetClient) Connection

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

Connection returns a connection to the API service.

Deprecated.

func (*DatasetClient) CreateDataset

func (c *DatasetClient) CreateDataset(ctx context.Context, req *aiplatformpb.CreateDatasetRequest, opts ...gax.CallOption) (*CreateDatasetOperation, error)

CreateDataset creates a Dataset.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

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

func (*DatasetClient) CreateDatasetOperation

func (c *DatasetClient) CreateDatasetOperation(name string) *CreateDatasetOperation

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

func (*DatasetClient) DeleteDataset

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

DeleteDataset deletes a Dataset.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

	req := &aiplatformpb.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 (*DatasetClient) DeleteDatasetOperation

func (c *DatasetClient) 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 (*DatasetClient) ExportData

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

ExportData exports data from a Dataset.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

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

func (*DatasetClient) ExportDataOperation

func (c *DatasetClient) 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 (*DatasetClient) GetAnnotationSpec

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

GetAnnotationSpec gets an AnnotationSpec.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*DatasetClient) GetDataset

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

GetDataset gets a Dataset.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*DatasetClient) ImportData

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

ImportData imports data into a Dataset.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

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

func (*DatasetClient) ImportDataOperation

func (c *DatasetClient) 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 (*DatasetClient) ListAnnotations

func (c *DatasetClient) ListAnnotations(ctx context.Context, req *aiplatformpb.ListAnnotationsRequest, opts ...gax.CallOption) *AnnotationIterator

ListAnnotations lists Annotations belongs to a dataitem

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	"google.golang.org/api/iterator"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*DatasetClient) ListDataItems

func (c *DatasetClient) ListDataItems(ctx context.Context, req *aiplatformpb.ListDataItemsRequest, opts ...gax.CallOption) *DataItemIterator

ListDataItems lists DataItems in a Dataset.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	"google.golang.org/api/iterator"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*DatasetClient) ListDatasets

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

ListDatasets lists Datasets in a Location.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	"google.golang.org/api/iterator"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

	req := &aiplatformpb.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 (*DatasetClient) UpdateDataset

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

UpdateDataset updates a Dataset.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

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 []*aiplatformpb.Dataset, nextPageToken string, err error)
	// contains filtered or unexported fields
}

DatasetIterator manages a stream of *aiplatformpb.Dataset.

func (*DatasetIterator) Next

func (it *DatasetIterator) Next() (*aiplatformpb.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.

DeleteBatchPredictionJobOperation

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

DeleteBatchPredictionJobOperation manages a long-running operation from DeleteBatchPredictionJob.

func (*DeleteBatchPredictionJobOperation) Done

func (op *DeleteBatchPredictionJobOperation) Done() bool

Done reports whether the long-running operation has completed.

func (*DeleteBatchPredictionJobOperation) Metadata

func (op *DeleteBatchPredictionJobOperation) Metadata() (*aiplatformpb.DeleteOperationMetadata, error)

func (*DeleteBatchPredictionJobOperation) Name

func (op *DeleteBatchPredictionJobOperation) 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 (*DeleteBatchPredictionJobOperation) Poll

func (op *DeleteBatchPredictionJobOperation) 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 (*DeleteBatchPredictionJobOperation) Wait

func (op *DeleteBatchPredictionJobOperation) 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.

DeleteCustomJobOperation

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

DeleteCustomJobOperation manages a long-running operation from DeleteCustomJob.

func (*DeleteCustomJobOperation) Done

func (op *DeleteCustomJobOperation) Done() bool

Done reports whether the long-running operation has completed.

func (*DeleteCustomJobOperation) Metadata

func (op *DeleteCustomJobOperation) Metadata() (*aiplatformpb.DeleteOperationMetadata, error)

func (*DeleteCustomJobOperation) Name

func (op *DeleteCustomJobOperation) 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 (*DeleteCustomJobOperation) Poll

func (op *DeleteCustomJobOperation) 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 (*DeleteCustomJobOperation) Wait

func (op *DeleteCustomJobOperation) 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.

DeleteDataLabelingJobOperation

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

DeleteDataLabelingJobOperation manages a long-running operation from DeleteDataLabelingJob.

func (*DeleteDataLabelingJobOperation) Done

func (op *DeleteDataLabelingJobOperation) Done() bool

Done reports whether the long-running operation has completed.

func (*DeleteDataLabelingJobOperation) Metadata

func (op *DeleteDataLabelingJobOperation) Metadata() (*aiplatformpb.DeleteOperationMetadata, error)

func (*DeleteDataLabelingJobOperation) Name

func (op *DeleteDataLabelingJobOperation) 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 (*DeleteDataLabelingJobOperation) Poll

func (op *DeleteDataLabelingJobOperation) 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 (*DeleteDataLabelingJobOperation) Wait

func (op *DeleteDataLabelingJobOperation) 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.

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() (*aiplatformpb.DeleteOperationMetadata, 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.

DeleteEndpointOperation

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

DeleteEndpointOperation manages a long-running operation from DeleteEndpoint.

func (*DeleteEndpointOperation) Done

func (op *DeleteEndpointOperation) Done() bool

Done reports whether the long-running operation has completed.

func (*DeleteEndpointOperation) Metadata

func (op *DeleteEndpointOperation) Metadata() (*aiplatformpb.DeleteOperationMetadata, error)

func (*DeleteEndpointOperation) Name

func (op *DeleteEndpointOperation) 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 (*DeleteEndpointOperation) Poll

func (op *DeleteEndpointOperation) 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 (*DeleteEndpointOperation) Wait

func (op *DeleteEndpointOperation) 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.

DeleteHyperparameterTuningJobOperation

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

DeleteHyperparameterTuningJobOperation manages a long-running operation from DeleteHyperparameterTuningJob.

func (*DeleteHyperparameterTuningJobOperation) Done

func (op *DeleteHyperparameterTuningJobOperation) Done() bool

Done reports whether the long-running operation has completed.

func (*DeleteHyperparameterTuningJobOperation) Metadata

func (op *DeleteHyperparameterTuningJobOperation) Metadata() (*aiplatformpb.DeleteOperationMetadata, error)

func (*DeleteHyperparameterTuningJobOperation) Name

func (op *DeleteHyperparameterTuningJobOperation) 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 (*DeleteHyperparameterTuningJobOperation) Poll

func (op *DeleteHyperparameterTuningJobOperation) 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 (*DeleteHyperparameterTuningJobOperation) Wait

func (op *DeleteHyperparameterTuningJobOperation) 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() (*aiplatformpb.DeleteOperationMetadata, 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.

DeletePipelineJobOperation

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

DeletePipelineJobOperation manages a long-running operation from DeletePipelineJob.

func (*DeletePipelineJobOperation) Done

func (op *DeletePipelineJobOperation) Done() bool

Done reports whether the long-running operation has completed.

func (*DeletePipelineJobOperation) Metadata

func (op *DeletePipelineJobOperation) Metadata() (*aiplatformpb.DeleteOperationMetadata, error)

func (*DeletePipelineJobOperation) Name

func (op *DeletePipelineJobOperation) 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 (*DeletePipelineJobOperation) Poll

func (op *DeletePipelineJobOperation) 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 (*DeletePipelineJobOperation) Wait

func (op *DeletePipelineJobOperation) 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.

DeleteSpecialistPoolOperation

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

DeleteSpecialistPoolOperation manages a long-running operation from DeleteSpecialistPool.

func (*DeleteSpecialistPoolOperation) Done

func (op *DeleteSpecialistPoolOperation) Done() bool

Done reports whether the long-running operation has completed.

func (*DeleteSpecialistPoolOperation) Metadata

func (op *DeleteSpecialistPoolOperation) Metadata() (*aiplatformpb.DeleteOperationMetadata, error)

func (*DeleteSpecialistPoolOperation) Name

func (op *DeleteSpecialistPoolOperation) 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 (*DeleteSpecialistPoolOperation) Poll

func (op *DeleteSpecialistPoolOperation) 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 (*DeleteSpecialistPoolOperation) Wait

func (op *DeleteSpecialistPoolOperation) 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.

DeleteTrainingPipelineOperation

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

DeleteTrainingPipelineOperation manages a long-running operation from DeleteTrainingPipeline.

func (*DeleteTrainingPipelineOperation) Done

func (op *DeleteTrainingPipelineOperation) Done() bool

Done reports whether the long-running operation has completed.

func (*DeleteTrainingPipelineOperation) Metadata

func (op *DeleteTrainingPipelineOperation) Metadata() (*aiplatformpb.DeleteOperationMetadata, error)

func (*DeleteTrainingPipelineOperation) Name

func (op *DeleteTrainingPipelineOperation) 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 (*DeleteTrainingPipelineOperation) Poll

func (op *DeleteTrainingPipelineOperation) 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 (*DeleteTrainingPipelineOperation) Wait

func (op *DeleteTrainingPipelineOperation) 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() (*aiplatformpb.DeployModelOperationMetadata, 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) (*aiplatformpb.DeployModelResponse, 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) (*aiplatformpb.DeployModelResponse, 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.

EndpointCallOptions

type EndpointCallOptions struct {
	CreateEndpoint []gax.CallOption
	GetEndpoint    []gax.CallOption
	ListEndpoints  []gax.CallOption
	UpdateEndpoint []gax.CallOption
	DeleteEndpoint []gax.CallOption
	DeployModel    []gax.CallOption
	UndeployModel  []gax.CallOption
}

EndpointCallOptions contains the retry settings for each method of EndpointClient.

EndpointClient

type EndpointClient struct {

	// The call options for this service.
	CallOptions *EndpointCallOptions

	// 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
}

EndpointClient is a client for interacting with Vertex AI API. Methods, except Close, may be called concurrently. However, fields must not be modified concurrently with method calls.

func NewEndpointClient

func NewEndpointClient(ctx context.Context, opts ...option.ClientOption) (*EndpointClient, error)

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

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
)

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

	// TODO: Use client.
	_ = c
}

func (*EndpointClient) Close

func (c *EndpointClient) Close() error

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

func (*EndpointClient) Connection

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

Connection returns a connection to the API service.

Deprecated.

func (*EndpointClient) CreateEndpoint

func (c *EndpointClient) CreateEndpoint(ctx context.Context, req *aiplatformpb.CreateEndpointRequest, opts ...gax.CallOption) (*CreateEndpointOperation, error)

CreateEndpoint creates an Endpoint.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

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

func (*EndpointClient) CreateEndpointOperation

func (c *EndpointClient) CreateEndpointOperation(name string) *CreateEndpointOperation

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

func (*EndpointClient) DeleteEndpoint

func (c *EndpointClient) DeleteEndpoint(ctx context.Context, req *aiplatformpb.DeleteEndpointRequest, opts ...gax.CallOption) (*DeleteEndpointOperation, error)

DeleteEndpoint deletes an Endpoint.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

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

func (*EndpointClient) DeleteEndpointOperation

func (c *EndpointClient) DeleteEndpointOperation(name string) *DeleteEndpointOperation

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

func (*EndpointClient) DeployModel

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

DeployModel deploys a Model into this Endpoint, creating a DeployedModel within it.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

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

func (*EndpointClient) DeployModelOperation

func (c *EndpointClient) 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 (*EndpointClient) GetEndpoint

func (c *EndpointClient) GetEndpoint(ctx context.Context, req *aiplatformpb.GetEndpointRequest, opts ...gax.CallOption) (*aiplatformpb.Endpoint, error)

GetEndpoint gets an Endpoint.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*EndpointClient) ListEndpoints

func (c *EndpointClient) ListEndpoints(ctx context.Context, req *aiplatformpb.ListEndpointsRequest, opts ...gax.CallOption) *EndpointIterator

ListEndpoints lists Endpoints in a Location.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	"google.golang.org/api/iterator"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*EndpointClient) UndeployModel

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

UndeployModel undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources it’s using.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

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

func (*EndpointClient) UndeployModelOperation

func (c *EndpointClient) 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 (*EndpointClient) UpdateEndpoint

func (c *EndpointClient) UpdateEndpoint(ctx context.Context, req *aiplatformpb.UpdateEndpointRequest, opts ...gax.CallOption) (*aiplatformpb.Endpoint, error)

UpdateEndpoint updates an Endpoint.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

EndpointIterator

type EndpointIterator 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 []*aiplatformpb.Endpoint, nextPageToken string, err error)
	// contains filtered or unexported fields
}

EndpointIterator manages a stream of *aiplatformpb.Endpoint.

func (*EndpointIterator) Next

func (it *EndpointIterator) Next() (*aiplatformpb.Endpoint, 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 (*EndpointIterator) PageInfo

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

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

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() (*aiplatformpb.ExportDataOperationMetadata, 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) (*aiplatformpb.ExportDataResponse, 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) (*aiplatformpb.ExportDataResponse, 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() (*aiplatformpb.ExportModelOperationMetadata, 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) (*aiplatformpb.ExportModelResponse, 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) (*aiplatformpb.ExportModelResponse, 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.

HyperparameterTuningJobIterator

type HyperparameterTuningJobIterator 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 []*aiplatformpb.HyperparameterTuningJob, nextPageToken string, err error)
	// contains filtered or unexported fields
}

HyperparameterTuningJobIterator manages a stream of *aiplatformpb.HyperparameterTuningJob.

func (*HyperparameterTuningJobIterator) Next

func (it *HyperparameterTuningJobIterator) Next() (*aiplatformpb.HyperparameterTuningJob, 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 (*HyperparameterTuningJobIterator) PageInfo

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

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

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() (*aiplatformpb.ImportDataOperationMetadata, 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) (*aiplatformpb.ImportDataResponse, 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) (*aiplatformpb.ImportDataResponse, 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.

JobCallOptions

type JobCallOptions struct {
	CreateCustomJob               []gax.CallOption
	GetCustomJob                  []gax.CallOption
	ListCustomJobs                []gax.CallOption
	DeleteCustomJob               []gax.CallOption
	CancelCustomJob               []gax.CallOption
	CreateDataLabelingJob         []gax.CallOption
	GetDataLabelingJob            []gax.CallOption
	ListDataLabelingJobs          []gax.CallOption
	DeleteDataLabelingJob         []gax.CallOption
	CancelDataLabelingJob         []gax.CallOption
	CreateHyperparameterTuningJob []gax.CallOption
	GetHyperparameterTuningJob    []gax.CallOption
	ListHyperparameterTuningJobs  []gax.CallOption
	DeleteHyperparameterTuningJob []gax.CallOption
	CancelHyperparameterTuningJob []gax.CallOption
	CreateBatchPredictionJob      []gax.CallOption
	GetBatchPredictionJob         []gax.CallOption
	ListBatchPredictionJobs       []gax.CallOption
	DeleteBatchPredictionJob      []gax.CallOption
	CancelBatchPredictionJob      []gax.CallOption
}

JobCallOptions contains the retry settings for each method of JobClient.

JobClient

type JobClient struct {

	// The call options for this service.
	CallOptions *JobCallOptions

	// 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
}

JobClient is a client for interacting with Vertex AI API. Methods, except Close, may be called concurrently. However, fields must not be modified concurrently with method calls.

A service for creating and managing Vertex AI’s jobs.

func NewJobClient

func NewJobClient(ctx context.Context, opts ...option.ClientOption) (*JobClient, error)

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

A service for creating and managing Vertex AI’s jobs.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
)

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

	// TODO: Use client.
	_ = c
}

func (*JobClient) CancelBatchPredictionJob

func (c *JobClient) CancelBatchPredictionJob(ctx context.Context, req *aiplatformpb.CancelBatchPredictionJobRequest, opts ...gax.CallOption) error

CancelBatchPredictionJob cancels a BatchPredictionJob.

Starts asynchronous cancellation on the BatchPredictionJob. The server makes the best effort to cancel the job, but success is not guaranteed. Clients can use JobService.GetBatchPredictionJob or other methods to check whether the cancellation succeeded or whether the job completed despite cancellation. On a successful cancellation, the BatchPredictionJob is not deleted;instead its BatchPredictionJob.state is set to CANCELLED. Any files already outputted by the job are not deleted.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

	req := &aiplatformpb.CancelBatchPredictionJobRequest{
		// TODO: Fill request struct fields.
	}
	err = c.CancelBatchPredictionJob(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
}

func (*JobClient) CancelCustomJob

func (c *JobClient) CancelCustomJob(ctx context.Context, req *aiplatformpb.CancelCustomJobRequest, opts ...gax.CallOption) error

CancelCustomJob cancels a CustomJob. Starts asynchronous cancellation on the CustomJob. The server makes a best effort to cancel the job, but success is not guaranteed. Clients can use JobService.GetCustomJob or other methods to check whether the cancellation succeeded or whether the job completed despite cancellation. On successful cancellation, the CustomJob is not deleted; instead it becomes a job with a CustomJob.error value with a google.rpc.Status.code of 1, corresponding to Code.CANCELLED, and CustomJob.state is set to CANCELLED.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

	req := &aiplatformpb.CancelCustomJobRequest{
		// TODO: Fill request struct fields.
	}
	err = c.CancelCustomJob(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
}

func (*JobClient) CancelDataLabelingJob

func (c *JobClient) CancelDataLabelingJob(ctx context.Context, req *aiplatformpb.CancelDataLabelingJobRequest, opts ...gax.CallOption) error

CancelDataLabelingJob cancels a DataLabelingJob. Success of cancellation is not guaranteed.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

	req := &aiplatformpb.CancelDataLabelingJobRequest{
		// TODO: Fill request struct fields.
	}
	err = c.CancelDataLabelingJob(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
}

func (*JobClient) CancelHyperparameterTuningJob

func (c *JobClient) CancelHyperparameterTuningJob(ctx context.Context, req *aiplatformpb.CancelHyperparameterTuningJobRequest, opts ...gax.CallOption) error

CancelHyperparameterTuningJob cancels a HyperparameterTuningJob. Starts asynchronous cancellation on the HyperparameterTuningJob. The server makes a best effort to cancel the job, but success is not guaranteed. Clients can use JobService.GetHyperparameterTuningJob or other methods to check whether the cancellation succeeded or whether the job completed despite cancellation. On successful cancellation, the HyperparameterTuningJob is not deleted; instead it becomes a job with a HyperparameterTuningJob.error value with a google.rpc.Status.code of 1, corresponding to Code.CANCELLED, and HyperparameterTuningJob.state is set to CANCELLED.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

	req := &aiplatformpb.CancelHyperparameterTuningJobRequest{
		// TODO: Fill request struct fields.
	}
	err = c.CancelHyperparameterTuningJob(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
}

func (*JobClient) Close

func (c *JobClient) Close() error

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

func (*JobClient) Connection

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

Connection returns a connection to the API service.

Deprecated.

func (*JobClient) CreateBatchPredictionJob

func (c *JobClient) CreateBatchPredictionJob(ctx context.Context, req *aiplatformpb.CreateBatchPredictionJobRequest, opts ...gax.CallOption) (*aiplatformpb.BatchPredictionJob, error)

CreateBatchPredictionJob creates a BatchPredictionJob. A BatchPredictionJob once created will right away be attempted to start.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*JobClient) CreateCustomJob

func (c *JobClient) CreateCustomJob(ctx context.Context, req *aiplatformpb.CreateCustomJobRequest, opts ...gax.CallOption) (*aiplatformpb.CustomJob, error)

CreateCustomJob creates a CustomJob. A created CustomJob right away will be attempted to be run.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*JobClient) CreateDataLabelingJob

func (c *JobClient) CreateDataLabelingJob(ctx context.Context, req *aiplatformpb.CreateDataLabelingJobRequest, opts ...gax.CallOption) (*aiplatformpb.DataLabelingJob, error)

CreateDataLabelingJob creates a DataLabelingJob.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*JobClient) CreateHyperparameterTuningJob

func (c *JobClient) CreateHyperparameterTuningJob(ctx context.Context, req *aiplatformpb.CreateHyperparameterTuningJobRequest, opts ...gax.CallOption) (*aiplatformpb.HyperparameterTuningJob, error)

CreateHyperparameterTuningJob creates a HyperparameterTuningJob

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*JobClient) DeleteBatchPredictionJob

func (c *JobClient) DeleteBatchPredictionJob(ctx context.Context, req *aiplatformpb.DeleteBatchPredictionJobRequest, opts ...gax.CallOption) (*DeleteBatchPredictionJobOperation, error)

DeleteBatchPredictionJob deletes a BatchPredictionJob. Can only be called on jobs that already finished.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

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

func (*JobClient) DeleteBatchPredictionJobOperation

func (c *JobClient) DeleteBatchPredictionJobOperation(name string) *DeleteBatchPredictionJobOperation

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

func (*JobClient) DeleteCustomJob

func (c *JobClient) DeleteCustomJob(ctx context.Context, req *aiplatformpb.DeleteCustomJobRequest, opts ...gax.CallOption) (*DeleteCustomJobOperation, error)

DeleteCustomJob deletes a CustomJob.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

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

func (*JobClient) DeleteCustomJobOperation

func (c *JobClient) DeleteCustomJobOperation(name string) *DeleteCustomJobOperation

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

func (*JobClient) DeleteDataLabelingJob

func (c *JobClient) DeleteDataLabelingJob(ctx context.Context, req *aiplatformpb.DeleteDataLabelingJobRequest, opts ...gax.CallOption) (*DeleteDataLabelingJobOperation, error)

DeleteDataLabelingJob deletes a DataLabelingJob.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

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

func (*JobClient) DeleteDataLabelingJobOperation

func (c *JobClient) DeleteDataLabelingJobOperation(name string) *DeleteDataLabelingJobOperation

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

func (*JobClient) DeleteHyperparameterTuningJob

func (c *JobClient) DeleteHyperparameterTuningJob(ctx context.Context, req *aiplatformpb.DeleteHyperparameterTuningJobRequest, opts ...gax.CallOption) (*DeleteHyperparameterTuningJobOperation, error)

DeleteHyperparameterTuningJob deletes a HyperparameterTuningJob.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

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

func (*JobClient) DeleteHyperparameterTuningJobOperation

func (c *JobClient) DeleteHyperparameterTuningJobOperation(name string) *DeleteHyperparameterTuningJobOperation

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

func (*JobClient) GetBatchPredictionJob

func (c *JobClient) GetBatchPredictionJob(ctx context.Context, req *aiplatformpb.GetBatchPredictionJobRequest, opts ...gax.CallOption) (*aiplatformpb.BatchPredictionJob, error)

GetBatchPredictionJob gets a BatchPredictionJob

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*JobClient) GetCustomJob

func (c *JobClient) GetCustomJob(ctx context.Context, req *aiplatformpb.GetCustomJobRequest, opts ...gax.CallOption) (*aiplatformpb.CustomJob, error)

GetCustomJob gets a CustomJob.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*JobClient) GetDataLabelingJob

func (c *JobClient) GetDataLabelingJob(ctx context.Context, req *aiplatformpb.GetDataLabelingJobRequest, opts ...gax.CallOption) (*aiplatformpb.DataLabelingJob, error)

GetDataLabelingJob gets a DataLabelingJob.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*JobClient) GetHyperparameterTuningJob

func (c *JobClient) GetHyperparameterTuningJob(ctx context.Context, req *aiplatformpb.GetHyperparameterTuningJobRequest, opts ...gax.CallOption) (*aiplatformpb.HyperparameterTuningJob, error)

GetHyperparameterTuningJob gets a HyperparameterTuningJob

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*JobClient) ListBatchPredictionJobs

func (c *JobClient) ListBatchPredictionJobs(ctx context.Context, req *aiplatformpb.ListBatchPredictionJobsRequest, opts ...gax.CallOption) *BatchPredictionJobIterator

ListBatchPredictionJobs lists BatchPredictionJobs in a Location.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	"google.golang.org/api/iterator"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*JobClient) ListCustomJobs

func (c *JobClient) ListCustomJobs(ctx context.Context, req *aiplatformpb.ListCustomJobsRequest, opts ...gax.CallOption) *CustomJobIterator

ListCustomJobs lists CustomJobs in a Location.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	"google.golang.org/api/iterator"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*JobClient) ListDataLabelingJobs

func (c *JobClient) ListDataLabelingJobs(ctx context.Context, req *aiplatformpb.ListDataLabelingJobsRequest, opts ...gax.CallOption) *DataLabelingJobIterator

ListDataLabelingJobs lists DataLabelingJobs in a Location.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	"google.golang.org/api/iterator"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*JobClient) ListHyperparameterTuningJobs

func (c *JobClient) ListHyperparameterTuningJobs(ctx context.Context, req *aiplatformpb.ListHyperparameterTuningJobsRequest, opts ...gax.CallOption) *HyperparameterTuningJobIterator

ListHyperparameterTuningJobs lists HyperparameterTuningJobs in a Location.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	"google.golang.org/api/iterator"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

MigratableResourceIterator

type MigratableResourceIterator 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 []*aiplatformpb.MigratableResource, nextPageToken string, err error)
	// contains filtered or unexported fields
}

MigratableResourceIterator manages a stream of *aiplatformpb.MigratableResource.

func (*MigratableResourceIterator) Next

func (it *MigratableResourceIterator) Next() (*aiplatformpb.MigratableResource, 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 (*MigratableResourceIterator) PageInfo

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

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

MigrationCallOptions

type MigrationCallOptions struct {
	SearchMigratableResources []gax.CallOption
	BatchMigrateResources     []gax.CallOption
}

MigrationCallOptions contains the retry settings for each method of MigrationClient.

MigrationClient

type MigrationClient struct {

	// The call options for this service.
	CallOptions *MigrationCallOptions

	// 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
}

MigrationClient is a client for interacting with Vertex AI API. Methods, except Close, may be called concurrently. However, fields must not be modified concurrently with method calls.

A service that migrates resources from automl.googleapis.com (at http://automl.googleapis.com), datalabeling.googleapis.com (at http://datalabeling.googleapis.com) and ml.googleapis.com (at http://ml.googleapis.com) to Vertex AI.

func NewMigrationClient

func NewMigrationClient(ctx context.Context, opts ...option.ClientOption) (*MigrationClient, error)

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

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
)

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

	// TODO: Use client.
	_ = c
}

func (*MigrationClient) BatchMigrateResources

func (c *MigrationClient) BatchMigrateResources(ctx context.Context, req *aiplatformpb.BatchMigrateResourcesRequest, opts ...gax.CallOption) (*BatchMigrateResourcesOperation, error)

BatchMigrateResources batch migrates resources from ml.googleapis.com (at http://ml.googleapis.com), automl.googleapis.com (at http://automl.googleapis.com), and datalabeling.googleapis.com (at http://datalabeling.googleapis.com) to Vertex AI.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

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

func (*MigrationClient) BatchMigrateResourcesOperation

func (c *MigrationClient) BatchMigrateResourcesOperation(name string) *BatchMigrateResourcesOperation

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

func (*MigrationClient) Close

func (c *MigrationClient) Close() error

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

func (*MigrationClient) Connection

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

Connection returns a connection to the API service.

Deprecated.

func (*MigrationClient) SearchMigratableResources

func (c *MigrationClient) SearchMigratableResources(ctx context.Context, req *aiplatformpb.SearchMigratableResourcesRequest, opts ...gax.CallOption) *MigratableResourceIterator

SearchMigratableResources searches all of the resources in automl.googleapis.com (at http://automl.googleapis.com), datalabeling.googleapis.com (at http://datalabeling.googleapis.com) and ml.googleapis.com (at http://ml.googleapis.com) that can be migrated to Vertex AI’s given location.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	"google.golang.org/api/iterator"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

ModelCallOptions

type ModelCallOptions struct {
	UploadModel               []gax.CallOption
	GetModel                  []gax.CallOption
	ListModels                []gax.CallOption
	UpdateModel               []gax.CallOption
	DeleteModel               []gax.CallOption
	ExportModel               []gax.CallOption
	GetModelEvaluation        []gax.CallOption
	ListModelEvaluations      []gax.CallOption
	GetModelEvaluationSlice   []gax.CallOption
	ListModelEvaluationSlices []gax.CallOption
}

ModelCallOptions contains the retry settings for each method of ModelClient.

ModelClient

type ModelClient struct {

	// The call options for this service.
	CallOptions *ModelCallOptions

	// 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
}

ModelClient is a client for interacting with Vertex AI API. Methods, except Close, may be called concurrently. However, fields must not be modified concurrently with method calls.

A service for managing Vertex AI’s machine learning Models.

func NewModelClient

func NewModelClient(ctx context.Context, opts ...option.ClientOption) (*ModelClient, error)

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

A service for managing Vertex AI’s machine learning Models.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
)

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

	// TODO: Use client.
	_ = c
}

func (*ModelClient) Close

func (c *ModelClient) Close() error

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

func (*ModelClient) Connection

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

Connection returns a connection to the API service.

Deprecated.

func (*ModelClient) DeleteModel

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

DeleteModel deletes a Model. Note: Model can only be deleted if there are no DeployedModels created from it.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

	req := &aiplatformpb.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 (*ModelClient) DeleteModelOperation

func (c *ModelClient) 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 (*ModelClient) ExportModel

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

ExportModel exports a trained, exportable, Model to a location specified by the user. A Model is considered to be exportable if it has at least one [supported export format][google.cloud.aiplatform.v1.Model.supported_export_formats].

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

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

func (*ModelClient) ExportModelOperation

func (c *ModelClient) 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 (*ModelClient) GetModel

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

GetModel gets a Model.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*ModelClient) GetModelEvaluation

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

GetModelEvaluation gets a ModelEvaluation.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*ModelClient) GetModelEvaluationSlice

func (c *ModelClient) GetModelEvaluationSlice(ctx context.Context, req *aiplatformpb.GetModelEvaluationSliceRequest, opts ...gax.CallOption) (*aiplatformpb.ModelEvaluationSlice, error)

GetModelEvaluationSlice gets a ModelEvaluationSlice.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*ModelClient) ListModelEvaluationSlices

func (c *ModelClient) ListModelEvaluationSlices(ctx context.Context, req *aiplatformpb.ListModelEvaluationSlicesRequest, opts ...gax.CallOption) *ModelEvaluationSliceIterator

ListModelEvaluationSlices lists ModelEvaluationSlices in a ModelEvaluation.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	"google.golang.org/api/iterator"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*ModelClient) ListModelEvaluations

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

ListModelEvaluations lists ModelEvaluations in a Model.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	"google.golang.org/api/iterator"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

	req := &aiplatformpb.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 (*ModelClient) ListModels

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

ListModels lists Models in a Location.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	"google.golang.org/api/iterator"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

	req := &aiplatformpb.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 (*ModelClient) UpdateModel

func (c *ModelClient) UpdateModel(ctx context.Context, req *aiplatformpb.UpdateModelRequest, opts ...gax.CallOption) (*aiplatformpb.Model, error)

UpdateModel updates a Model.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*ModelClient) UploadModel

func (c *ModelClient) UploadModel(ctx context.Context, req *aiplatformpb.UploadModelRequest, opts ...gax.CallOption) (*UploadModelOperation, error)

UploadModel uploads a Model artifact into Vertex AI.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

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

func (*ModelClient) UploadModelOperation

func (c *ModelClient) UploadModelOperation(name string) *UploadModelOperation

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

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 []*aiplatformpb.ModelEvaluation, nextPageToken string, err error)
	// contains filtered or unexported fields
}

ModelEvaluationIterator manages a stream of *aiplatformpb.ModelEvaluation.

func (*ModelEvaluationIterator) Next

func (it *ModelEvaluationIterator) Next() (*aiplatformpb.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.

ModelEvaluationSliceIterator

type ModelEvaluationSliceIterator 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 []*aiplatformpb.ModelEvaluationSlice, nextPageToken string, err error)
	// contains filtered or unexported fields
}

ModelEvaluationSliceIterator manages a stream of *aiplatformpb.ModelEvaluationSlice.

func (*ModelEvaluationSliceIterator) Next

func (it *ModelEvaluationSliceIterator) Next() (*aiplatformpb.ModelEvaluationSlice, 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 (*ModelEvaluationSliceIterator) PageInfo

func (it *ModelEvaluationSliceIterator) 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 []*aiplatformpb.Model, nextPageToken string, err error)
	// contains filtered or unexported fields
}

ModelIterator manages a stream of *aiplatformpb.Model.

func (*ModelIterator) Next

func (it *ModelIterator) Next() (*aiplatformpb.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.

PipelineCallOptions

type PipelineCallOptions struct {
	CreateTrainingPipeline []gax.CallOption
	GetTrainingPipeline    []gax.CallOption
	ListTrainingPipelines  []gax.CallOption
	DeleteTrainingPipeline []gax.CallOption
	CancelTrainingPipeline []gax.CallOption
	CreatePipelineJob      []gax.CallOption
	GetPipelineJob         []gax.CallOption
	ListPipelineJobs       []gax.CallOption
	DeletePipelineJob      []gax.CallOption
	CancelPipelineJob      []gax.CallOption
}

PipelineCallOptions contains the retry settings for each method of PipelineClient.

PipelineClient

type PipelineClient struct {

	// The call options for this service.
	CallOptions *PipelineCallOptions

	// 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
}

PipelineClient is a client for interacting with Vertex AI API. Methods, except Close, may be called concurrently. However, fields must not be modified concurrently with method calls.

A service for creating and managing Vertex AI’s pipelines. This includes both TrainingPipeline resources (used for AutoML and custom training) and PipelineJob resources (used for Vertex Pipelines).

func NewPipelineClient

func NewPipelineClient(ctx context.Context, opts ...option.ClientOption) (*PipelineClient, error)

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

A service for creating and managing Vertex AI’s pipelines. This includes both TrainingPipeline resources (used for AutoML and custom training) and PipelineJob resources (used for Vertex Pipelines).

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
)

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

	// TODO: Use client.
	_ = c
}

func (*PipelineClient) CancelPipelineJob

func (c *PipelineClient) CancelPipelineJob(ctx context.Context, req *aiplatformpb.CancelPipelineJobRequest, opts ...gax.CallOption) error

CancelPipelineJob cancels a PipelineJob. Starts asynchronous cancellation on the PipelineJob. The server makes a best effort to cancel the pipeline, but success is not guaranteed. Clients can use PipelineService.GetPipelineJob or other methods to check whether the cancellation succeeded or whether the pipeline completed despite cancellation. On successful cancellation, the PipelineJob is not deleted; instead it becomes a pipeline with a PipelineJob.error value with a google.rpc.Status.code of 1, corresponding to Code.CANCELLED, and PipelineJob.state is set to CANCELLED.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

	req := &aiplatformpb.CancelPipelineJobRequest{
		// TODO: Fill request struct fields.
	}
	err = c.CancelPipelineJob(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
}

func (*PipelineClient) CancelTrainingPipeline

func (c *PipelineClient) CancelTrainingPipeline(ctx context.Context, req *aiplatformpb.CancelTrainingPipelineRequest, opts ...gax.CallOption) error

CancelTrainingPipeline cancels a TrainingPipeline. Starts asynchronous cancellation on the TrainingPipeline. The server makes a best effort to cancel the pipeline, but success is not guaranteed. Clients can use PipelineService.GetTrainingPipeline or other methods to check whether the cancellation succeeded or whether the pipeline completed despite cancellation. On successful cancellation, the TrainingPipeline is not deleted; instead it becomes a pipeline with a TrainingPipeline.error value with a google.rpc.Status.code of 1, corresponding to Code.CANCELLED, and TrainingPipeline.state is set to CANCELLED.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

	req := &aiplatformpb.CancelTrainingPipelineRequest{
		// TODO: Fill request struct fields.
	}
	err = c.CancelTrainingPipeline(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
}

func (*PipelineClient) Close

func (c *PipelineClient) Close() error

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

func (*PipelineClient) Connection

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

Connection returns a connection to the API service.

Deprecated.

func (*PipelineClient) CreatePipelineJob

func (c *PipelineClient) CreatePipelineJob(ctx context.Context, req *aiplatformpb.CreatePipelineJobRequest, opts ...gax.CallOption) (*aiplatformpb.PipelineJob, error)

CreatePipelineJob creates a PipelineJob. A PipelineJob will run immediately when created.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*PipelineClient) CreateTrainingPipeline

func (c *PipelineClient) CreateTrainingPipeline(ctx context.Context, req *aiplatformpb.CreateTrainingPipelineRequest, opts ...gax.CallOption) (*aiplatformpb.TrainingPipeline, error)

CreateTrainingPipeline creates a TrainingPipeline. A created TrainingPipeline right away will be attempted to be run.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*PipelineClient) DeletePipelineJob

func (c *PipelineClient) DeletePipelineJob(ctx context.Context, req *aiplatformpb.DeletePipelineJobRequest, opts ...gax.CallOption) (*DeletePipelineJobOperation, error)

DeletePipelineJob deletes a PipelineJob.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

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

func (*PipelineClient) DeletePipelineJobOperation

func (c *PipelineClient) DeletePipelineJobOperation(name string) *DeletePipelineJobOperation

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

func (*PipelineClient) DeleteTrainingPipeline

func (c *PipelineClient) DeleteTrainingPipeline(ctx context.Context, req *aiplatformpb.DeleteTrainingPipelineRequest, opts ...gax.CallOption) (*DeleteTrainingPipelineOperation, error)

DeleteTrainingPipeline deletes a TrainingPipeline.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

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

func (*PipelineClient) DeleteTrainingPipelineOperation

func (c *PipelineClient) DeleteTrainingPipelineOperation(name string) *DeleteTrainingPipelineOperation

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

func (*PipelineClient) GetPipelineJob

func (c *PipelineClient) GetPipelineJob(ctx context.Context, req *aiplatformpb.GetPipelineJobRequest, opts ...gax.CallOption) (*aiplatformpb.PipelineJob, error)

GetPipelineJob gets a PipelineJob.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*PipelineClient) GetTrainingPipeline

func (c *PipelineClient) GetTrainingPipeline(ctx context.Context, req *aiplatformpb.GetTrainingPipelineRequest, opts ...gax.CallOption) (*aiplatformpb.TrainingPipeline, error)

GetTrainingPipeline gets a TrainingPipeline.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*PipelineClient) ListPipelineJobs

func (c *PipelineClient) ListPipelineJobs(ctx context.Context, req *aiplatformpb.ListPipelineJobsRequest, opts ...gax.CallOption) *PipelineJobIterator

ListPipelineJobs lists PipelineJobs in a Location.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	"google.golang.org/api/iterator"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*PipelineClient) ListTrainingPipelines

func (c *PipelineClient) ListTrainingPipelines(ctx context.Context, req *aiplatformpb.ListTrainingPipelinesRequest, opts ...gax.CallOption) *TrainingPipelineIterator

ListTrainingPipelines lists TrainingPipelines in a Location.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	"google.golang.org/api/iterator"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

PipelineJobIterator

type PipelineJobIterator 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 []*aiplatformpb.PipelineJob, nextPageToken string, err error)
	// contains filtered or unexported fields
}

PipelineJobIterator manages a stream of *aiplatformpb.PipelineJob.

func (*PipelineJobIterator) Next

func (it *PipelineJobIterator) Next() (*aiplatformpb.PipelineJob, 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 (*PipelineJobIterator) PageInfo

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

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

PredictionCallOptions

type PredictionCallOptions struct {
	Predict []gax.CallOption
}

PredictionCallOptions contains the retry settings for each method of PredictionClient.

PredictionClient

type PredictionClient struct {

	// The call options for this service.
	CallOptions *PredictionCallOptions
	// contains filtered or unexported fields
}

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

A service for online predictions and explanations.

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.

A service for online predictions and explanations.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
)

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

	// TODO: Use client.
	_ = c
}

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 *aiplatformpb.PredictRequest, opts ...gax.CallOption) (*aiplatformpb.PredictResponse, error)

Predict perform an online prediction.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

SpecialistPoolCallOptions

type SpecialistPoolCallOptions struct {
	CreateSpecialistPool []gax.CallOption
	GetSpecialistPool    []gax.CallOption
	ListSpecialistPools  []gax.CallOption
	DeleteSpecialistPool []gax.CallOption
	UpdateSpecialistPool []gax.CallOption
}

SpecialistPoolCallOptions contains the retry settings for each method of SpecialistPoolClient.

SpecialistPoolClient

type SpecialistPoolClient struct {

	// The call options for this service.
	CallOptions *SpecialistPoolCallOptions

	// 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
}

SpecialistPoolClient is a client for interacting with Vertex AI API. Methods, except Close, may be called concurrently. However, fields must not be modified concurrently with method calls.

A service for creating and managing Customer SpecialistPools. When customers start Data Labeling jobs, they can reuse/create Specialist Pools to bring their own Specialists to label the data. Customers can add/remove Managers for the Specialist Pool on Cloud console, then Managers will get email notifications to manage Specialists and tasks on CrowdCompute console.

func NewSpecialistPoolClient

func NewSpecialistPoolClient(ctx context.Context, opts ...option.ClientOption) (*SpecialistPoolClient, error)

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

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
)

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

	// TODO: Use client.
	_ = c
}

func (*SpecialistPoolClient) Close

func (c *SpecialistPoolClient) Close() error

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

func (*SpecialistPoolClient) Connection

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

Connection returns a connection to the API service.

Deprecated.

func (*SpecialistPoolClient) CreateSpecialistPool

func (c *SpecialistPoolClient) CreateSpecialistPool(ctx context.Context, req *aiplatformpb.CreateSpecialistPoolRequest, opts ...gax.CallOption) (*CreateSpecialistPoolOperation, error)

CreateSpecialistPool creates a SpecialistPool.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

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

func (*SpecialistPoolClient) CreateSpecialistPoolOperation

func (c *SpecialistPoolClient) CreateSpecialistPoolOperation(name string) *CreateSpecialistPoolOperation

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

func (*SpecialistPoolClient) DeleteSpecialistPool

func (c *SpecialistPoolClient) DeleteSpecialistPool(ctx context.Context, req *aiplatformpb.DeleteSpecialistPoolRequest, opts ...gax.CallOption) (*DeleteSpecialistPoolOperation, error)

DeleteSpecialistPool deletes a SpecialistPool as well as all Specialists in the pool.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

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

func (*SpecialistPoolClient) DeleteSpecialistPoolOperation

func (c *SpecialistPoolClient) DeleteSpecialistPoolOperation(name string) *DeleteSpecialistPoolOperation

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

func (*SpecialistPoolClient) GetSpecialistPool

func (c *SpecialistPoolClient) GetSpecialistPool(ctx context.Context, req *aiplatformpb.GetSpecialistPoolRequest, opts ...gax.CallOption) (*aiplatformpb.SpecialistPool, error)

GetSpecialistPool gets a SpecialistPool.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*SpecialistPoolClient) ListSpecialistPools

func (c *SpecialistPoolClient) ListSpecialistPools(ctx context.Context, req *aiplatformpb.ListSpecialistPoolsRequest, opts ...gax.CallOption) *SpecialistPoolIterator

ListSpecialistPools lists SpecialistPools in a Location.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	"google.golang.org/api/iterator"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

func (*SpecialistPoolClient) UpdateSpecialistPool

func (c *SpecialistPoolClient) UpdateSpecialistPool(ctx context.Context, req *aiplatformpb.UpdateSpecialistPoolRequest, opts ...gax.CallOption) (*UpdateSpecialistPoolOperation, error)

UpdateSpecialistPool updates a SpecialistPool.

Example

package main

import (
	aiplatform "cloud.google.com/go/aiplatform/apiv1"
	"context"
	aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
)

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

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

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

func (*SpecialistPoolClient) UpdateSpecialistPoolOperation

func (c *SpecialistPoolClient) UpdateSpecialistPoolOperation(name string) *UpdateSpecialistPoolOperation

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

SpecialistPoolIterator

type SpecialistPoolIterator 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 []*aiplatformpb.SpecialistPool, nextPageToken string, err error)
	// contains filtered or unexported fields
}

SpecialistPoolIterator manages a stream of *aiplatformpb.SpecialistPool.

func (*SpecialistPoolIterator) Next

func (it *SpecialistPoolIterator) Next() (*aiplatformpb.SpecialistPool, 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 (*SpecialistPoolIterator) PageInfo

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

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

TrainingPipelineIterator

type TrainingPipelineIterator 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 []*aiplatformpb.TrainingPipeline, nextPageToken string, err error)
	// contains filtered or unexported fields
}

TrainingPipelineIterator manages a stream of *aiplatformpb.TrainingPipeline.

func (*TrainingPipelineIterator) Next

func (it *TrainingPipelineIterator) Next() (*aiplatformpb.TrainingPipeline, 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 (*TrainingPipelineIterator) PageInfo

func (it *TrainingPipelineIterator) 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() (*aiplatformpb.UndeployModelOperationMetadata, 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) (*aiplatformpb.UndeployModelResponse, 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) (*aiplatformpb.UndeployModelResponse, 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.

UpdateSpecialistPoolOperation

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

UpdateSpecialistPoolOperation manages a long-running operation from UpdateSpecialistPool.

func (*UpdateSpecialistPoolOperation) Done

func (op *UpdateSpecialistPoolOperation) Done() bool

Done reports whether the long-running operation has completed.

func (*UpdateSpecialistPoolOperation) Metadata

func (op *UpdateSpecialistPoolOperation) Metadata() (*aiplatformpb.UpdateSpecialistPoolOperationMetadata, error)

func (*UpdateSpecialistPoolOperation) Name

func (op *UpdateSpecialistPoolOperation) 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 (*UpdateSpecialistPoolOperation) Poll

func (op *UpdateSpecialistPoolOperation) Poll(ctx context.Context, opts ...gax.CallOption) (*aiplatformpb.SpecialistPool, error)

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

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

func (*UpdateSpecialistPoolOperation) Wait

func (op *UpdateSpecialistPoolOperation) Wait(ctx context.Context, opts ...gax.CallOption) (*aiplatformpb.SpecialistPool, 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.

UploadModelOperation

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

UploadModelOperation manages a long-running operation from UploadModel.

func (*UploadModelOperation) Done

func (op *UploadModelOperation) Done() bool

Done reports whether the long-running operation has completed.

func (*UploadModelOperation) Metadata

func (op *UploadModelOperation) Metadata() (*aiplatformpb.UploadModelOperationMetadata, error)

func (*UploadModelOperation) Name

func (op *UploadModelOperation) 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 (*UploadModelOperation) Poll

func (op *UploadModelOperation) Poll(ctx context.Context, opts ...gax.CallOption) (*aiplatformpb.UploadModelResponse, error)

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

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

func (*UploadModelOperation) Wait

func (op *UploadModelOperation) Wait(ctx context.Context, opts ...gax.CallOption) (*aiplatformpb.UploadModelResponse, 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.