Class PredictionServiceClient

PredictionService client wrapper, for convenient use.

Inheritance

System.Object

PredictionServiceClient

PredictionServiceClientImpl

Inherited Members

System.Object.ToString()

System.Object.GetHashCode()

System.Object.GetType()

System.Object.MemberwiseClone()

Namespace: Google.Cloud.AutoML.V1

Assembly: Google.Cloud.AutoML.V1.dll

Syntax

public abstract class PredictionServiceClient

Remarks

AutoML Prediction API.

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

Properties

BatchPredictOperationsClient

The long-running operations client for BatchPredict.

Declaration

public virtual OperationsClient BatchPredictOperationsClient { get; }

Property Value

Type	Description
OperationsClient

DefaultEndpoint

The default endpoint for the PredictionService service, which is a host of "automl.googleapis.com" and a port of 443.

Declaration

public static string DefaultEndpoint { get; }

Property Value

Type	Description
System.String

DefaultScopes

The default PredictionService scopes.

Declaration

public static IReadOnlyList<string> DefaultScopes { get; }

Property Value

Type	Description
System.Collections.Generic.IReadOnlyList<System.String>

Remarks

The default PredictionService scopes are:

https://www.googleapis.com/auth/cloud-platform

GrpcClient

The underlying gRPC PredictionService client

Declaration

public virtual PredictionService.PredictionServiceClient GrpcClient { get; }

Property Value

Type	Description
PredictionService.PredictionServiceClient

Methods

BatchPredict(BatchPredictRequest, CallSettings)

Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1.PredictionService.Predict], batch prediction result won't be immediately available in the response. Instead, a long running operation object is returned. User can poll the operation result via [GetOperation][google.longrunning.Operations.GetOperation] method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1.BatchPredictResult] is returned in the [response][google.longrunning.Operation.response] field. Available for following ML scenarios:

AutoML Vision Classification
AutoML Vision Object Detection
AutoML Video Intelligence Classification
AutoML Video Intelligence Object Tracking * AutoML Natural Language Classification
AutoML Natural Language Entity Extraction
AutoML Natural Language Sentiment Analysis
AutoML Tables

Declaration

public virtual Operation<BatchPredictResult, OperationMetadata> BatchPredict(BatchPredictRequest request, CallSettings callSettings = null)

Parameters

Type	Name	Description
BatchPredictRequest	request	The request object containing all of the parameters for the API call.
CallSettings	callSettings	If not null, applies overrides to this RPC call.

Returns

Type	Description
Operation<BatchPredictResult, OperationMetadata>	The RPC response.

Sample code

// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
BatchPredictRequest request = new BatchPredictRequest
{
    ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
    InputConfig = new BatchPredictInputConfig(),
    OutputConfig = new BatchPredictOutputConfig(),
    Params = { { "", "" }, },
};
// Make the request
Operation<BatchPredictResult, OperationMetadata> response = predictionServiceClient.BatchPredict(request);

// Poll until the returned long-running operation is complete
Operation<BatchPredictResult, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
BatchPredictResult result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<BatchPredictResult, OperationMetadata> retrievedResponse = predictionServiceClient.PollOnceBatchPredict(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    BatchPredictResult retrievedResult = retrievedResponse.Result;
}

BatchPredict(ModelName, BatchPredictInputConfig, BatchPredictOutputConfig, IDictionary<String, String>, CallSettings)

AutoML Vision Classification
AutoML Vision Object Detection
AutoML Video Intelligence Classification
AutoML Video Intelligence Object Tracking * AutoML Natural Language Classification
AutoML Natural Language Entity Extraction
AutoML Natural Language Sentiment Analysis
AutoML Tables

Declaration

public virtual Operation<BatchPredictResult, OperationMetadata> BatchPredict(ModelName name, BatchPredictInputConfig inputConfig, BatchPredictOutputConfig outputConfig, IDictionary<string, string> params, CallSettings callSettings = null)

Parameters

Type	Name	Description
ModelName	name	Required. Name of the model requested to serve the batch prediction.
BatchPredictInputConfig	inputConfig	Required. The input configuration for batch prediction.
BatchPredictOutputConfig	outputConfig	Required. The Configuration specifying where output predictions should be written.
System.Collections.Generic.IDictionary<System.String, System.String>	params	Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long. AutoML Natural Language Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for a text snippet, it will only produce results that have at least this confidence score. The default is 0.5. AutoML Vision Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5. AutoML Vision Object Detection `score_threshold` : (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` : (int64) The maximum number of bounding boxes returned per image. The default is 100, the number of bounding boxes returned might be limited by the server. AutoML Video Intelligence Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for a video, it will only produce results that have at least this confidence score. The default is 0.5. `segment_classification` : (boolean) Set to true to request segment-level classification. AutoML Video Intelligence returns labels and their confidence scores for the entire segment of the video that user specified in the request configuration. The default is true. `shot_classification` : (boolean) Set to true to request shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. The default is false. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality. `1s_interval_classification` : (boolean) Set to true to request classification for a video at one-second intervals. AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. The default is false. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality. AutoML Video Intelligence Object Tracking `score_threshold` : (float) When Model detects objects on video frames, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` : (int64) The maximum number of bounding boxes returned per image. The default is 100, the number of bounding boxes returned might be limited by the server. `min_bounding_box_size` : (float) Only bounding boxes with shortest edge at least that long as a relative value of video frame size are returned. Value in 0 to 1 range. Default is 0.
CallSettings	callSettings	If not null, applies overrides to this RPC call.

Returns

Type	Description
Operation<BatchPredictResult, OperationMetadata>	The RPC response.

Sample code

// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
BatchPredictInputConfig inputConfig = new BatchPredictInputConfig();
BatchPredictOutputConfig outputConfig = new BatchPredictOutputConfig();
IDictionary<string, string> @params = new Dictionary<string, string> { { "", "" }, };
// Make the request
Operation<BatchPredictResult, OperationMetadata> response = predictionServiceClient.BatchPredict(name, inputConfig, outputConfig, @params);

// Poll until the returned long-running operation is complete
Operation<BatchPredictResult, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
BatchPredictResult result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<BatchPredictResult, OperationMetadata> retrievedResponse = predictionServiceClient.PollOnceBatchPredict(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    BatchPredictResult retrievedResult = retrievedResponse.Result;
}

BatchPredict(String, BatchPredictInputConfig, BatchPredictOutputConfig, IDictionary<String, String>, CallSettings)

AutoML Vision Classification
AutoML Vision Object Detection
AutoML Video Intelligence Classification
AutoML Video Intelligence Object Tracking * AutoML Natural Language Classification
AutoML Natural Language Entity Extraction
AutoML Natural Language Sentiment Analysis
AutoML Tables

Declaration

public virtual Operation<BatchPredictResult, OperationMetadata> BatchPredict(string name, BatchPredictInputConfig inputConfig, BatchPredictOutputConfig outputConfig, IDictionary<string, string> params, CallSettings callSettings = null)

Parameters

Type	Name	Description
System.String	name	Required. Name of the model requested to serve the batch prediction.
BatchPredictInputConfig	inputConfig	Required. The input configuration for batch prediction.
BatchPredictOutputConfig	outputConfig	Required. The Configuration specifying where output predictions should be written.
System.Collections.Generic.IDictionary<System.String, System.String>	params	Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long. AutoML Natural Language Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for a text snippet, it will only produce results that have at least this confidence score. The default is 0.5. AutoML Vision Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5. AutoML Vision Object Detection `score_threshold` : (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` : (int64) The maximum number of bounding boxes returned per image. The default is 100, the number of bounding boxes returned might be limited by the server. AutoML Video Intelligence Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for a video, it will only produce results that have at least this confidence score. The default is 0.5. `segment_classification` : (boolean) Set to true to request segment-level classification. AutoML Video Intelligence returns labels and their confidence scores for the entire segment of the video that user specified in the request configuration. The default is true. `shot_classification` : (boolean) Set to true to request shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. The default is false. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality. `1s_interval_classification` : (boolean) Set to true to request classification for a video at one-second intervals. AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. The default is false. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality. AutoML Video Intelligence Object Tracking `score_threshold` : (float) When Model detects objects on video frames, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` : (int64) The maximum number of bounding boxes returned per image. The default is 100, the number of bounding boxes returned might be limited by the server. `min_bounding_box_size` : (float) Only bounding boxes with shortest edge at least that long as a relative value of video frame size are returned. Value in 0 to 1 range. Default is 0.
CallSettings	callSettings	If not null, applies overrides to this RPC call.

Returns

Type	Description
Operation<BatchPredictResult, OperationMetadata>	The RPC response.

Sample code

// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
BatchPredictInputConfig inputConfig = new BatchPredictInputConfig();
BatchPredictOutputConfig outputConfig = new BatchPredictOutputConfig();
IDictionary<string, string> @params = new Dictionary<string, string> { { "", "" }, };
// Make the request
Operation<BatchPredictResult, OperationMetadata> response = predictionServiceClient.BatchPredict(name, inputConfig, outputConfig, @params);

// Poll until the returned long-running operation is complete
Operation<BatchPredictResult, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
BatchPredictResult result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<BatchPredictResult, OperationMetadata> retrievedResponse = predictionServiceClient.PollOnceBatchPredict(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    BatchPredictResult retrievedResult = retrievedResponse.Result;
}

BatchPredictAsync(BatchPredictRequest, CallSettings)

AutoML Vision Classification
AutoML Vision Object Detection
AutoML Video Intelligence Classification
AutoML Video Intelligence Object Tracking * AutoML Natural Language Classification
AutoML Natural Language Entity Extraction
AutoML Natural Language Sentiment Analysis
AutoML Tables

Declaration

public virtual Task<Operation<BatchPredictResult, OperationMetadata>> BatchPredictAsync(BatchPredictRequest request, CallSettings callSettings = null)

Parameters

Type	Name	Description
BatchPredictRequest	request	The request object containing all of the parameters for the API call.
CallSettings	callSettings	If not null, applies overrides to this RPC call.

Returns

Type	Description
System.Threading.Tasks.Task<Operation<BatchPredictResult, OperationMetadata>>	A Task containing the RPC response.

Sample code

// Create client
PredictionServiceClient predictionServiceClient = await PredictionServiceClient.CreateAsync();
// Initialize request argument(s)
BatchPredictRequest request = new BatchPredictRequest
{
    ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
    InputConfig = new BatchPredictInputConfig(),
    OutputConfig = new BatchPredictOutputConfig(),
    Params = { { "", "" }, },
};
// Make the request
Operation<BatchPredictResult, OperationMetadata> response = await predictionServiceClient.BatchPredictAsync(request);

// Poll until the returned long-running operation is complete
Operation<BatchPredictResult, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
BatchPredictResult result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<BatchPredictResult, OperationMetadata> retrievedResponse = await predictionServiceClient.PollOnceBatchPredictAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    BatchPredictResult retrievedResult = retrievedResponse.Result;
}

BatchPredictAsync(BatchPredictRequest, CancellationToken)

AutoML Vision Classification
AutoML Vision Object Detection
AutoML Video Intelligence Classification
AutoML Video Intelligence Object Tracking * AutoML Natural Language Classification
AutoML Natural Language Entity Extraction
AutoML Natural Language Sentiment Analysis
AutoML Tables

Declaration

public virtual Task<Operation<BatchPredictResult, OperationMetadata>> BatchPredictAsync(BatchPredictRequest request, CancellationToken cancellationToken)

Parameters

Type	Name	Description
BatchPredictRequest	request	The request object containing all of the parameters for the API call.
System.Threading.CancellationToken	cancellationToken	A System.Threading.CancellationToken to use for this RPC.

Returns

Type	Description
System.Threading.Tasks.Task<Operation<BatchPredictResult, OperationMetadata>>	A Task containing the RPC response.

Sample code

// Create client
PredictionServiceClient predictionServiceClient = await PredictionServiceClient.CreateAsync();
// Initialize request argument(s)
BatchPredictRequest request = new BatchPredictRequest
{
    ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
    InputConfig = new BatchPredictInputConfig(),
    OutputConfig = new BatchPredictOutputConfig(),
    Params = { { "", "" }, },
};
// Make the request
Operation<BatchPredictResult, OperationMetadata> response = await predictionServiceClient.BatchPredictAsync(request);

// Poll until the returned long-running operation is complete
Operation<BatchPredictResult, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
BatchPredictResult result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<BatchPredictResult, OperationMetadata> retrievedResponse = await predictionServiceClient.PollOnceBatchPredictAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    BatchPredictResult retrievedResult = retrievedResponse.Result;
}

BatchPredictAsync(ModelName, BatchPredictInputConfig, BatchPredictOutputConfig, IDictionary<String, String>, CallSettings)

AutoML Vision Classification
AutoML Vision Object Detection
AutoML Video Intelligence Classification
AutoML Video Intelligence Object Tracking * AutoML Natural Language Classification
AutoML Natural Language Entity Extraction
AutoML Natural Language Sentiment Analysis
AutoML Tables

Declaration

public virtual Task<Operation<BatchPredictResult, OperationMetadata>> BatchPredictAsync(ModelName name, BatchPredictInputConfig inputConfig, BatchPredictOutputConfig outputConfig, IDictionary<string, string> params, CallSettings callSettings = null)

Parameters

Type	Name	Description
ModelName	name	Required. Name of the model requested to serve the batch prediction.
BatchPredictInputConfig	inputConfig	Required. The input configuration for batch prediction.
BatchPredictOutputConfig	outputConfig	Required. The Configuration specifying where output predictions should be written.
System.Collections.Generic.IDictionary<System.String, System.String>	params	Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long. AutoML Natural Language Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for a text snippet, it will only produce results that have at least this confidence score. The default is 0.5. AutoML Vision Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5. AutoML Vision Object Detection `score_threshold` : (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` : (int64) The maximum number of bounding boxes returned per image. The default is 100, the number of bounding boxes returned might be limited by the server. AutoML Video Intelligence Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for a video, it will only produce results that have at least this confidence score. The default is 0.5. `segment_classification` : (boolean) Set to true to request segment-level classification. AutoML Video Intelligence returns labels and their confidence scores for the entire segment of the video that user specified in the request configuration. The default is true. `shot_classification` : (boolean) Set to true to request shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. The default is false. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality. `1s_interval_classification` : (boolean) Set to true to request classification for a video at one-second intervals. AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. The default is false. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality. AutoML Video Intelligence Object Tracking `score_threshold` : (float) When Model detects objects on video frames, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` : (int64) The maximum number of bounding boxes returned per image. The default is 100, the number of bounding boxes returned might be limited by the server. `min_bounding_box_size` : (float) Only bounding boxes with shortest edge at least that long as a relative value of video frame size are returned. Value in 0 to 1 range. Default is 0.
CallSettings	callSettings	If not null, applies overrides to this RPC call.

Returns

Type	Description
System.Threading.Tasks.Task<Operation<BatchPredictResult, OperationMetadata>>	A Task containing the RPC response.

Sample code

// Create client
PredictionServiceClient predictionServiceClient = await PredictionServiceClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
BatchPredictInputConfig inputConfig = new BatchPredictInputConfig();
BatchPredictOutputConfig outputConfig = new BatchPredictOutputConfig();
IDictionary<string, string> @params = new Dictionary<string, string> { { "", "" }, };
// Make the request
Operation<BatchPredictResult, OperationMetadata> response = await predictionServiceClient.BatchPredictAsync(name, inputConfig, outputConfig, @params);

// Poll until the returned long-running operation is complete
Operation<BatchPredictResult, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
BatchPredictResult result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<BatchPredictResult, OperationMetadata> retrievedResponse = await predictionServiceClient.PollOnceBatchPredictAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    BatchPredictResult retrievedResult = retrievedResponse.Result;
}

BatchPredictAsync(ModelName, BatchPredictInputConfig, BatchPredictOutputConfig, IDictionary<String, String>, CancellationToken)

AutoML Vision Classification
AutoML Vision Object Detection
AutoML Video Intelligence Classification
AutoML Video Intelligence Object Tracking * AutoML Natural Language Classification
AutoML Natural Language Entity Extraction
AutoML Natural Language Sentiment Analysis
AutoML Tables

Declaration

public virtual Task<Operation<BatchPredictResult, OperationMetadata>> BatchPredictAsync(ModelName name, BatchPredictInputConfig inputConfig, BatchPredictOutputConfig outputConfig, IDictionary<string, string> params, CancellationToken cancellationToken)

Parameters

Type	Name	Description
ModelName	name	Required. Name of the model requested to serve the batch prediction.
BatchPredictInputConfig	inputConfig	Required. The input configuration for batch prediction.
BatchPredictOutputConfig	outputConfig	Required. The Configuration specifying where output predictions should be written.
System.Collections.Generic.IDictionary<System.String, System.String>	params	Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long. AutoML Natural Language Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for a text snippet, it will only produce results that have at least this confidence score. The default is 0.5. AutoML Vision Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5. AutoML Vision Object Detection `score_threshold` : (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` : (int64) The maximum number of bounding boxes returned per image. The default is 100, the number of bounding boxes returned might be limited by the server. AutoML Video Intelligence Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for a video, it will only produce results that have at least this confidence score. The default is 0.5. `segment_classification` : (boolean) Set to true to request segment-level classification. AutoML Video Intelligence returns labels and their confidence scores for the entire segment of the video that user specified in the request configuration. The default is true. `shot_classification` : (boolean) Set to true to request shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. The default is false. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality. `1s_interval_classification` : (boolean) Set to true to request classification for a video at one-second intervals. AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. The default is false. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality. AutoML Video Intelligence Object Tracking `score_threshold` : (float) When Model detects objects on video frames, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` : (int64) The maximum number of bounding boxes returned per image. The default is 100, the number of bounding boxes returned might be limited by the server. `min_bounding_box_size` : (float) Only bounding boxes with shortest edge at least that long as a relative value of video frame size are returned. Value in 0 to 1 range. Default is 0.
System.Threading.CancellationToken	cancellationToken	A System.Threading.CancellationToken to use for this RPC.

Returns

Type	Description
System.Threading.Tasks.Task<Operation<BatchPredictResult, OperationMetadata>>	A Task containing the RPC response.

Sample code

// Create client
PredictionServiceClient predictionServiceClient = await PredictionServiceClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
BatchPredictInputConfig inputConfig = new BatchPredictInputConfig();
BatchPredictOutputConfig outputConfig = new BatchPredictOutputConfig();
IDictionary<string, string> @params = new Dictionary<string, string> { { "", "" }, };
// Make the request
Operation<BatchPredictResult, OperationMetadata> response = await predictionServiceClient.BatchPredictAsync(name, inputConfig, outputConfig, @params);

// Poll until the returned long-running operation is complete
Operation<BatchPredictResult, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
BatchPredictResult result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<BatchPredictResult, OperationMetadata> retrievedResponse = await predictionServiceClient.PollOnceBatchPredictAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    BatchPredictResult retrievedResult = retrievedResponse.Result;
}

BatchPredictAsync(String, BatchPredictInputConfig, BatchPredictOutputConfig, IDictionary<String, String>, CallSettings)

AutoML Vision Classification
AutoML Vision Object Detection
AutoML Video Intelligence Classification
AutoML Video Intelligence Object Tracking * AutoML Natural Language Classification
AutoML Natural Language Entity Extraction
AutoML Natural Language Sentiment Analysis
AutoML Tables

Declaration

public virtual Task<Operation<BatchPredictResult, OperationMetadata>> BatchPredictAsync(string name, BatchPredictInputConfig inputConfig, BatchPredictOutputConfig outputConfig, IDictionary<string, string> params, CallSettings callSettings = null)

Parameters

Type	Name	Description
System.String	name	Required. Name of the model requested to serve the batch prediction.
BatchPredictInputConfig	inputConfig	Required. The input configuration for batch prediction.
BatchPredictOutputConfig	outputConfig	Required. The Configuration specifying where output predictions should be written.
System.Collections.Generic.IDictionary<System.String, System.String>	params	Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long. AutoML Natural Language Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for a text snippet, it will only produce results that have at least this confidence score. The default is 0.5. AutoML Vision Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5. AutoML Vision Object Detection `score_threshold` : (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` : (int64) The maximum number of bounding boxes returned per image. The default is 100, the number of bounding boxes returned might be limited by the server. AutoML Video Intelligence Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for a video, it will only produce results that have at least this confidence score. The default is 0.5. `segment_classification` : (boolean) Set to true to request segment-level classification. AutoML Video Intelligence returns labels and their confidence scores for the entire segment of the video that user specified in the request configuration. The default is true. `shot_classification` : (boolean) Set to true to request shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. The default is false. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality. `1s_interval_classification` : (boolean) Set to true to request classification for a video at one-second intervals. AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. The default is false. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality. AutoML Video Intelligence Object Tracking `score_threshold` : (float) When Model detects objects on video frames, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` : (int64) The maximum number of bounding boxes returned per image. The default is 100, the number of bounding boxes returned might be limited by the server. `min_bounding_box_size` : (float) Only bounding boxes with shortest edge at least that long as a relative value of video frame size are returned. Value in 0 to 1 range. Default is 0.
CallSettings	callSettings	If not null, applies overrides to this RPC call.

Returns

Type	Description
System.Threading.Tasks.Task<Operation<BatchPredictResult, OperationMetadata>>	A Task containing the RPC response.

Sample code

// Create client
PredictionServiceClient predictionServiceClient = await PredictionServiceClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
BatchPredictInputConfig inputConfig = new BatchPredictInputConfig();
BatchPredictOutputConfig outputConfig = new BatchPredictOutputConfig();
IDictionary<string, string> @params = new Dictionary<string, string> { { "", "" }, };
// Make the request
Operation<BatchPredictResult, OperationMetadata> response = await predictionServiceClient.BatchPredictAsync(name, inputConfig, outputConfig, @params);

// Poll until the returned long-running operation is complete
Operation<BatchPredictResult, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
BatchPredictResult result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<BatchPredictResult, OperationMetadata> retrievedResponse = await predictionServiceClient.PollOnceBatchPredictAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    BatchPredictResult retrievedResult = retrievedResponse.Result;
}

BatchPredictAsync(String, BatchPredictInputConfig, BatchPredictOutputConfig, IDictionary<String, String>, CancellationToken)

AutoML Vision Classification
AutoML Vision Object Detection
AutoML Video Intelligence Classification
AutoML Video Intelligence Object Tracking * AutoML Natural Language Classification
AutoML Natural Language Entity Extraction
AutoML Natural Language Sentiment Analysis
AutoML Tables

Declaration

public virtual Task<Operation<BatchPredictResult, OperationMetadata>> BatchPredictAsync(string name, BatchPredictInputConfig inputConfig, BatchPredictOutputConfig outputConfig, IDictionary<string, string> params, CancellationToken cancellationToken)

Parameters

Type	Name	Description
System.String	name	Required. Name of the model requested to serve the batch prediction.
BatchPredictInputConfig	inputConfig	Required. The input configuration for batch prediction.
BatchPredictOutputConfig	outputConfig	Required. The Configuration specifying where output predictions should be written.
System.Collections.Generic.IDictionary<System.String, System.String>	params	Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long. AutoML Natural Language Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for a text snippet, it will only produce results that have at least this confidence score. The default is 0.5. AutoML Vision Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5. AutoML Vision Object Detection `score_threshold` : (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` : (int64) The maximum number of bounding boxes returned per image. The default is 100, the number of bounding boxes returned might be limited by the server. AutoML Video Intelligence Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for a video, it will only produce results that have at least this confidence score. The default is 0.5. `segment_classification` : (boolean) Set to true to request segment-level classification. AutoML Video Intelligence returns labels and their confidence scores for the entire segment of the video that user specified in the request configuration. The default is true. `shot_classification` : (boolean) Set to true to request shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. The default is false. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality. `1s_interval_classification` : (boolean) Set to true to request classification for a video at one-second intervals. AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. The default is false. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality. AutoML Video Intelligence Object Tracking `score_threshold` : (float) When Model detects objects on video frames, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` : (int64) The maximum number of bounding boxes returned per image. The default is 100, the number of bounding boxes returned might be limited by the server. `min_bounding_box_size` : (float) Only bounding boxes with shortest edge at least that long as a relative value of video frame size are returned. Value in 0 to 1 range. Default is 0.
System.Threading.CancellationToken	cancellationToken	A System.Threading.CancellationToken to use for this RPC.

Returns

Type	Description
System.Threading.Tasks.Task<Operation<BatchPredictResult, OperationMetadata>>	A Task containing the RPC response.

Sample code

// Create client
PredictionServiceClient predictionServiceClient = await PredictionServiceClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
BatchPredictInputConfig inputConfig = new BatchPredictInputConfig();
BatchPredictOutputConfig outputConfig = new BatchPredictOutputConfig();
IDictionary<string, string> @params = new Dictionary<string, string> { { "", "" }, };
// Make the request
Operation<BatchPredictResult, OperationMetadata> response = await predictionServiceClient.BatchPredictAsync(name, inputConfig, outputConfig, @params);

// Poll until the returned long-running operation is complete
Operation<BatchPredictResult, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
BatchPredictResult result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<BatchPredictResult, OperationMetadata> retrievedResponse = await predictionServiceClient.PollOnceBatchPredictAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    BatchPredictResult retrievedResult = retrievedResponse.Result;
}

Create()

Synchronously creates a PredictionServiceClient using the default credentials, endpoint and settings. To specify custom credentials or other settings, use PredictionServiceClientBuilder.

Declaration

public static PredictionServiceClient Create()

Returns

Type	Description
PredictionServiceClient	The created PredictionServiceClient.

CreateAsync(CancellationToken)

Asynchronously creates a PredictionServiceClient using the default credentials, endpoint and settings. To specify custom credentials or other settings, use PredictionServiceClientBuilder.

Declaration

public static Task<PredictionServiceClient> CreateAsync(CancellationToken cancellationToken = default(CancellationToken))

Parameters

Type	Name	Description
System.Threading.CancellationToken	cancellationToken	The System.Threading.CancellationToken to use while creating the client.

Returns

Type	Description
System.Threading.Tasks.Task<PredictionServiceClient>	The task representing the created PredictionServiceClient.

PollOnceBatchPredict(String, CallSettings)

Poll an operation once, using an operationName from a previous invocation of BatchPredict.

Declaration

public virtual Operation<BatchPredictResult, OperationMetadata> PollOnceBatchPredict(string operationName, CallSettings callSettings = null)

Parameters

Type	Name	Description
System.String	operationName	The name of a previously invoked operation. Must not be `null` or empty.
CallSettings	callSettings	If not null, applies overrides to this RPC call.

Returns

Type	Description
Operation<BatchPredictResult, OperationMetadata>	The result of polling the operation.

PollOnceBatchPredictAsync(String, CallSettings)

Asynchronously poll an operation once, using an operationName from a previous invocation of BatchPredict.

Declaration

public virtual Task<Operation<BatchPredictResult, OperationMetadata>> PollOnceBatchPredictAsync(string operationName, CallSettings callSettings = null)

Parameters

Type	Name	Description
System.String	operationName	The name of a previously invoked operation. Must not be `null` or empty.
CallSettings	callSettings	If not null, applies overrides to this RPC call.

Returns

Type	Description
System.Threading.Tasks.Task<Operation<BatchPredictResult, OperationMetadata>>	A task representing the result of polling the operation.

Predict(ModelName, ExamplePayload, IDictionary<String, String>, CallSettings)

Perform an online prediction. The prediction result is directly returned in the response. Available for following ML scenarios, and their expected request payloads:

AutoML Vision Classification

An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Vision Object Detection

An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Natural Language Classification

A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Natural Language Entity Extraction

A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document in .PDF, .TIF or .TIFF format with size upto 20MB.

AutoML Natural Language Sentiment Analysis

A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Translation

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

AutoML Tables

A row with column values matching the columns of the model, up to 5MB. Not available for FORECASTING prediction_type.

Declaration

public virtual PredictResponse Predict(ModelName name, ExamplePayload payload, IDictionary<string, string> params, CallSettings callSettings = null)

Parameters

Type	Name	Description
ModelName	name	Required. Name of the model requested to serve the prediction.
ExamplePayload	payload	Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve.
System.Collections.Generic.IDictionary<System.String, System.String>	params	Additional domain-specific parameters, any string must be up to 25000 characters long. AutoML Vision Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5. AutoML Vision Object Detection `score_threshold` : (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` : (int64) The maximum number of bounding boxes returned. The default is 100. The number of returned bounding boxes might be limited by the server. AutoML Tables `feature_importance` : (boolean) Whether [feature_importance][google.cloud.automl.v1.TablesModelColumnInfo.feature_importance] is populated in the returned list of [TablesAnnotation][google.cloud.automl.v1.TablesAnnotation] objects. The default is false.
CallSettings	callSettings	If not null, applies overrides to this RPC call.

Returns

Type	Description
PredictResponse	The RPC response.

Sample code

// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
ExamplePayload payload = new ExamplePayload();
IDictionary<string, string> @params = new Dictionary<string, string> { { "", "" }, };
// Make the request
PredictResponse response = predictionServiceClient.Predict(name, payload, @params);

Predict(PredictRequest, CallSettings)

Perform an online prediction. The prediction result is directly returned in the response. Available for following ML scenarios, and their expected request payloads:

AutoML Vision Classification

An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Vision Object Detection

An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Natural Language Classification

A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Natural Language Entity Extraction

A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document in .PDF, .TIF or .TIFF format with size upto 20MB.

AutoML Natural Language Sentiment Analysis

A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Translation

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

AutoML Tables

A row with column values matching the columns of the model, up to 5MB. Not available for FORECASTING prediction_type.

Declaration

public virtual PredictResponse Predict(PredictRequest request, CallSettings callSettings = null)

Parameters

Type	Name	Description
PredictRequest	request	The request object containing all of the parameters for the API call.
CallSettings	callSettings	If not null, applies overrides to this RPC call.

Returns

Type	Description
PredictResponse	The RPC response.

Sample code

// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
PredictRequest request = new PredictRequest
{
    ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
    Payload = new ExamplePayload(),
    Params = { { "", "" }, },
};
// Make the request
PredictResponse response = predictionServiceClient.Predict(request);

Predict(String, ExamplePayload, IDictionary<String, String>, CallSettings)

Perform an online prediction. The prediction result is directly returned in the response. Available for following ML scenarios, and their expected request payloads:

AutoML Vision Classification

An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Vision Object Detection

An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Natural Language Classification

A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Natural Language Entity Extraction

A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document in .PDF, .TIF or .TIFF format with size upto 20MB.

AutoML Natural Language Sentiment Analysis

A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Translation

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

AutoML Tables

A row with column values matching the columns of the model, up to 5MB. Not available for FORECASTING prediction_type.

Declaration

public virtual PredictResponse Predict(string name, ExamplePayload payload, IDictionary<string, string> params, CallSettings callSettings = null)

Parameters

Type	Name	Description
System.String	name	Required. Name of the model requested to serve the prediction.
ExamplePayload	payload	Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve.
System.Collections.Generic.IDictionary<System.String, System.String>	params	Additional domain-specific parameters, any string must be up to 25000 characters long. AutoML Vision Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5. AutoML Vision Object Detection `score_threshold` : (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` : (int64) The maximum number of bounding boxes returned. The default is 100. The number of returned bounding boxes might be limited by the server. AutoML Tables `feature_importance` : (boolean) Whether [feature_importance][google.cloud.automl.v1.TablesModelColumnInfo.feature_importance] is populated in the returned list of [TablesAnnotation][google.cloud.automl.v1.TablesAnnotation] objects. The default is false.
CallSettings	callSettings	If not null, applies overrides to this RPC call.

Returns

Type	Description
PredictResponse	The RPC response.

Sample code

// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
ExamplePayload payload = new ExamplePayload();
IDictionary<string, string> @params = new Dictionary<string, string> { { "", "" }, };
// Make the request
PredictResponse response = predictionServiceClient.Predict(name, payload, @params);

PredictAsync(ModelName, ExamplePayload, IDictionary<String, String>, CallSettings)

Perform an online prediction. The prediction result is directly returned in the response. Available for following ML scenarios, and their expected request payloads:

AutoML Vision Classification

An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Vision Object Detection

An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Natural Language Classification

A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Natural Language Entity Extraction

A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document in .PDF, .TIF or .TIFF format with size upto 20MB.

AutoML Natural Language Sentiment Analysis

A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Translation

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

AutoML Tables

A row with column values matching the columns of the model, up to 5MB. Not available for FORECASTING prediction_type.

Declaration

public virtual Task<PredictResponse> PredictAsync(ModelName name, ExamplePayload payload, IDictionary<string, string> params, CallSettings callSettings = null)

Parameters

Type	Name	Description
ModelName	name	Required. Name of the model requested to serve the prediction.
ExamplePayload	payload	Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve.
System.Collections.Generic.IDictionary<System.String, System.String>	params	Additional domain-specific parameters, any string must be up to 25000 characters long. AutoML Vision Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5. AutoML Vision Object Detection `score_threshold` : (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` : (int64) The maximum number of bounding boxes returned. The default is 100. The number of returned bounding boxes might be limited by the server. AutoML Tables `feature_importance` : (boolean) Whether [feature_importance][google.cloud.automl.v1.TablesModelColumnInfo.feature_importance] is populated in the returned list of [TablesAnnotation][google.cloud.automl.v1.TablesAnnotation] objects. The default is false.
CallSettings	callSettings	If not null, applies overrides to this RPC call.

Returns

Type	Description
System.Threading.Tasks.Task<PredictResponse>	A Task containing the RPC response.

Sample code

// Create client
PredictionServiceClient predictionServiceClient = await PredictionServiceClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
ExamplePayload payload = new ExamplePayload();
IDictionary<string, string> @params = new Dictionary<string, string> { { "", "" }, };
// Make the request
PredictResponse response = await predictionServiceClient.PredictAsync(name, payload, @params);

PredictAsync(ModelName, ExamplePayload, IDictionary<String, String>, CancellationToken)

Perform an online prediction. The prediction result is directly returned in the response. Available for following ML scenarios, and their expected request payloads:

AutoML Vision Classification

An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Vision Object Detection

An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Natural Language Classification

A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Natural Language Entity Extraction

A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document in .PDF, .TIF or .TIFF format with size upto 20MB.

AutoML Natural Language Sentiment Analysis

A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Translation

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

AutoML Tables

A row with column values matching the columns of the model, up to 5MB. Not available for FORECASTING prediction_type.

Declaration

public virtual Task<PredictResponse> PredictAsync(ModelName name, ExamplePayload payload, IDictionary<string, string> params, CancellationToken cancellationToken)

Parameters

Type	Name	Description
ModelName	name	Required. Name of the model requested to serve the prediction.
ExamplePayload	payload	Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve.
System.Collections.Generic.IDictionary<System.String, System.String>	params	Additional domain-specific parameters, any string must be up to 25000 characters long. AutoML Vision Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5. AutoML Vision Object Detection `score_threshold` : (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` : (int64) The maximum number of bounding boxes returned. The default is 100. The number of returned bounding boxes might be limited by the server. AutoML Tables `feature_importance` : (boolean) Whether [feature_importance][google.cloud.automl.v1.TablesModelColumnInfo.feature_importance] is populated in the returned list of [TablesAnnotation][google.cloud.automl.v1.TablesAnnotation] objects. The default is false.
System.Threading.CancellationToken	cancellationToken	A System.Threading.CancellationToken to use for this RPC.

Returns

Type	Description
System.Threading.Tasks.Task<PredictResponse>	A Task containing the RPC response.

Sample code

// Create client
PredictionServiceClient predictionServiceClient = await PredictionServiceClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
ExamplePayload payload = new ExamplePayload();
IDictionary<string, string> @params = new Dictionary<string, string> { { "", "" }, };
// Make the request
PredictResponse response = await predictionServiceClient.PredictAsync(name, payload, @params);

PredictAsync(PredictRequest, CallSettings)

Perform an online prediction. The prediction result is directly returned in the response. Available for following ML scenarios, and their expected request payloads:

AutoML Vision Classification

An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Vision Object Detection

An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Natural Language Classification

A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Natural Language Entity Extraction

A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document in .PDF, .TIF or .TIFF format with size upto 20MB.

AutoML Natural Language Sentiment Analysis

A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Translation

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

AutoML Tables

A row with column values matching the columns of the model, up to 5MB. Not available for FORECASTING prediction_type.

Declaration

public virtual Task<PredictResponse> PredictAsync(PredictRequest request, CallSettings callSettings = null)

Parameters

Type	Name	Description
PredictRequest	request	The request object containing all of the parameters for the API call.
CallSettings	callSettings	If not null, applies overrides to this RPC call.

Returns

Type	Description
System.Threading.Tasks.Task<PredictResponse>	A Task containing the RPC response.

Sample code

// Create client
PredictionServiceClient predictionServiceClient = await PredictionServiceClient.CreateAsync();
// Initialize request argument(s)
PredictRequest request = new PredictRequest
{
    ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
    Payload = new ExamplePayload(),
    Params = { { "", "" }, },
};
// Make the request
PredictResponse response = await predictionServiceClient.PredictAsync(request);

PredictAsync(PredictRequest, CancellationToken)

Perform an online prediction. The prediction result is directly returned in the response. Available for following ML scenarios, and their expected request payloads:

AutoML Vision Classification

An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Vision Object Detection

An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Natural Language Classification

A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Natural Language Entity Extraction

A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document in .PDF, .TIF or .TIFF format with size upto 20MB.

AutoML Natural Language Sentiment Analysis

A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Translation

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

AutoML Tables

A row with column values matching the columns of the model, up to 5MB. Not available for FORECASTING prediction_type.

Declaration

public virtual Task<PredictResponse> PredictAsync(PredictRequest request, CancellationToken cancellationToken)

Parameters

Type	Name	Description
PredictRequest	request	The request object containing all of the parameters for the API call.
System.Threading.CancellationToken	cancellationToken	A System.Threading.CancellationToken to use for this RPC.

Returns

Type	Description
System.Threading.Tasks.Task<PredictResponse>	A Task containing the RPC response.

Sample code

// Create client
PredictionServiceClient predictionServiceClient = await PredictionServiceClient.CreateAsync();
// Initialize request argument(s)
PredictRequest request = new PredictRequest
{
    ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
    Payload = new ExamplePayload(),
    Params = { { "", "" }, },
};
// Make the request
PredictResponse response = await predictionServiceClient.PredictAsync(request);

PredictAsync(String, ExamplePayload, IDictionary<String, String>, CallSettings)

Perform an online prediction. The prediction result is directly returned in the response. Available for following ML scenarios, and their expected request payloads:

AutoML Vision Classification

An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Vision Object Detection

An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Natural Language Classification

A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Natural Language Entity Extraction

A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document in .PDF, .TIF or .TIFF format with size upto 20MB.

AutoML Natural Language Sentiment Analysis

A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Translation

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

AutoML Tables

A row with column values matching the columns of the model, up to 5MB. Not available for FORECASTING prediction_type.

Declaration

public virtual Task<PredictResponse> PredictAsync(string name, ExamplePayload payload, IDictionary<string, string> params, CallSettings callSettings = null)

Parameters

Type	Name	Description
System.String	name	Required. Name of the model requested to serve the prediction.
ExamplePayload	payload	Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve.
System.Collections.Generic.IDictionary<System.String, System.String>	params	Additional domain-specific parameters, any string must be up to 25000 characters long. AutoML Vision Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5. AutoML Vision Object Detection `score_threshold` : (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` : (int64) The maximum number of bounding boxes returned. The default is 100. The number of returned bounding boxes might be limited by the server. AutoML Tables `feature_importance` : (boolean) Whether [feature_importance][google.cloud.automl.v1.TablesModelColumnInfo.feature_importance] is populated in the returned list of [TablesAnnotation][google.cloud.automl.v1.TablesAnnotation] objects. The default is false.
CallSettings	callSettings	If not null, applies overrides to this RPC call.

Returns

Type	Description
System.Threading.Tasks.Task<PredictResponse>	A Task containing the RPC response.

Sample code

// Create client
PredictionServiceClient predictionServiceClient = await PredictionServiceClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
ExamplePayload payload = new ExamplePayload();
IDictionary<string, string> @params = new Dictionary<string, string> { { "", "" }, };
// Make the request
PredictResponse response = await predictionServiceClient.PredictAsync(name, payload, @params);

PredictAsync(String, ExamplePayload, IDictionary<String, String>, CancellationToken)

Perform an online prediction. The prediction result is directly returned in the response. Available for following ML scenarios, and their expected request payloads:

AutoML Vision Classification

An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Vision Object Detection

An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Natural Language Classification

A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Natural Language Entity Extraction

A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document in .PDF, .TIF or .TIFF format with size upto 20MB.

AutoML Natural Language Sentiment Analysis

A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Translation

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

AutoML Tables

A row with column values matching the columns of the model, up to 5MB. Not available for FORECASTING prediction_type.

Declaration

public virtual Task<PredictResponse> PredictAsync(string name, ExamplePayload payload, IDictionary<string, string> params, CancellationToken cancellationToken)

Parameters

Type	Name	Description
System.String	name	Required. Name of the model requested to serve the prediction.
ExamplePayload	payload	Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve.
System.Collections.Generic.IDictionary<System.String, System.String>	params	Additional domain-specific parameters, any string must be up to 25000 characters long. AutoML Vision Classification `score_threshold` : (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5. AutoML Vision Object Detection `score_threshold` : (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. `max_bounding_box_count` : (int64) The maximum number of bounding boxes returned. The default is 100. The number of returned bounding boxes might be limited by the server. AutoML Tables `feature_importance` : (boolean) Whether [feature_importance][google.cloud.automl.v1.TablesModelColumnInfo.feature_importance] is populated in the returned list of [TablesAnnotation][google.cloud.automl.v1.TablesAnnotation] objects. The default is false.
System.Threading.CancellationToken	cancellationToken	A System.Threading.CancellationToken to use for this RPC.

Returns

Type	Description
System.Threading.Tasks.Task<PredictResponse>	A Task containing the RPC response.

Sample code

// Create client
PredictionServiceClient predictionServiceClient = await PredictionServiceClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
ExamplePayload payload = new ExamplePayload();
IDictionary<string, string> @params = new Dictionary<string, string> { { "", "" }, };
// Make the request
PredictResponse response = await predictionServiceClient.PredictAsync(name, payload, @params);

ShutdownDefaultChannelsAsync()

Shuts down any channels automatically created by Create() and CreateAsync(CancellationToken). Channels which weren't automatically created are not affected.

Declaration

public static Task ShutdownDefaultChannelsAsync()

Returns

Type	Description
System.Threading.Tasks.Task	A task representing the asynchronous shutdown operation.

Remarks

After calling this method, further calls to Create() and CreateAsync(CancellationToken) will create new channels, which could in turn be shut down by another call to this method.