[BindServiceMethod(typeof(PredictionService), "BindService")]
public abstract class PredictionServiceBase
Base class for server-side implementations of PredictionService
Namespace
Google.Cloud.AutoML.V1Assembly
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 |
Task<Operation> | 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 |
Task<PredictResponse> | The response to send back to the client (wrapped by a task). |