Struct googapis::google::cloud::automl::v1beta1::prediction_service_client::PredictionServiceClient[][src]

pub struct PredictionServiceClient<T> { /* fields omitted */ }
Expand description

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.

Implementations

Compress requests with gzip.

This requires the server to support it otherwise it might respond with an error.

Enable decompressing responses with gzip.

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

  • Image Classification - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.
  • Image Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.
  • Text Classification - TextSnippet, content up to 60,000 characters, UTF-8 encoded.
  • Text Extraction - TextSnippet, content up to 30,000 characters, UTF-8 NFC encoded.
  • Translation - TextSnippet, content up to 25,000 characters, UTF-8 encoded.
  • Tables - Row, with column values matching the columns of the model, up to 5MB. Not available for FORECASTING

[prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type].

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

Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1beta1.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.v1beta1.BatchPredictResult] is returned in the [response][google.longrunning.Operation.response] field. Available for following ML problems:

  • Image Classification
  • Image Object Detection
  • Video Classification
  • Video Object Tracking * Text Extraction
  • Tables

Trait Implementations

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Wrap the input message T in a tonic::Request

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