Google AutoML v1 API - Class PredictionService.PredictionServiceBase (3.3.0)

[BindServiceMethod(typeof(PredictionService), "BindService")]
public abstract class PredictionService.PredictionServiceBase

Reference documentation and code samples for the Google AutoML v1 API class PredictionService.PredictionServiceBase.

Base class for server-side implementations of PredictionService

Inheritance

object > PredictionService.PredictionServiceBase

Inherited Members

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ToString()

Namespace

Google.Cloud.AutoML.V1

Assembly

Google.Cloud.AutoML.V1.dll

Methods

BatchPredict(BatchPredictRequest, ServerCallContext)

public virtual Task<Operation> BatchPredict(BatchPredictRequest request, ServerCallContext context)

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

Parameters
Name	Description
`request`	`BatchPredictRequest` The request received from the client.
`context`	`ServerCallContext` The context of the server-side call handler being invoked.

Returns
Type	Description
`TaskOperation`	The response to send back to the client (wrapped by a task).

Predict(PredictRequest, ServerCallContext)

public virtual Task<PredictResponse> Predict(PredictRequest request, ServerCallContext context)

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.

Parameters
Name	Description
`request`	`PredictRequest` The request received from the client.
`context`	`ServerCallContext` The context of the server-side call handler being invoked.

Returns
Type	Description
`TaskPredictResponse`	The response to send back to the client (wrapped by a task).