blob: 1054a2a18a1ef425ab4a9c1768d9ad686c7ed688 [file] [log] [blame]
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"name": "req"
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"type": "...gax.CallOption",
"name": "opts"
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],
"resultType": "BatchPredictOperation",
"client": {
"shortName": "PredictionClient",
"fullName": "google.cloud.automl.v1.PredictionClient"
},
"method": {
"shortName": "BatchPredict",
"fullName": "google.cloud.automl.v1.PredictionService.BatchPredict",
"service": {
"shortName": "PredictionService",
"fullName": "google.cloud.automl.v1.PredictionService"
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{
"regionTag": "automl_v1_generated_PredictionService_Predict_sync",
"title": "automl Predict Sample",
"description": "Predict perform an online prediction. The prediction result is directly\nreturned in the response.\nAvailable for following ML scenarios, and their expected request payloads: \n\nAutoML Vision Classification\n\n* An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.\n\nAutoML Vision Object Detection\n\n* An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.\n\nAutoML Natural Language Classification\n\n* A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in\n.PDF, .TIF or .TIFF format with size upto 2MB.\n\nAutoML Natural Language Entity Extraction\n\n* A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document\nin .PDF, .TIF or .TIFF format with size upto 20MB.\n\nAutoML Natural Language Sentiment Analysis\n\n* A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in\n.PDF, .TIF or .TIFF format with size upto 2MB.\n\nAutoML Translation\n\n* A TextSnippet up to 25,000 characters, UTF-8 encoded.\n\nAutoML Tables\n\n* A row with column values matching\nthe columns of the model, up to 5MB. Not available for FORECASTING\n`prediction_type`.",
"file": "PredictionClient/Predict/main.go",
"language": "GO",
"clientMethod": {
"shortName": "Predict",
"fullName": "google.cloud.automl.v1.PredictionClient.Predict",
"parameters": [
{
"type": "context.Context",
"name": "ctx"
},
{
"type": "automlpb.PredictRequest",
"name": "req"
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"type": "...gax.CallOption",
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"resultType": "*automlpb.PredictResponse",
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"method": {
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