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refs/heads/master: 080b6be2af3922c8c2a2ff8702b3bb49f7622972
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refs/heads/gh-pages: 9b91392095cbb68bba1a32efe7d8caeac44467d9
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refs/tags/0.0.9: 22f1839238f66c39e67ed4dfdcd273b1ae2e8444
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refs/tags/v0.0.10: 207ebd2a3472fddee69fe1298eb90429e3306efd

‎trunk/google-api-grpc/grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/AutoMlGrpc.java‎

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@@ -1471,7 +1471,8 @@ public void deleteDataset(
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*
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*
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* <pre>
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* Imports data into a dataset. For Tables this method can only be called on an empty Dataset.
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* Imports data into a dataset.
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* For Tables this method can only be called on an empty Dataset.
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* For Tables:
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* * A
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* [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params]
@@ -1663,8 +1664,8 @@ public void deleteModel(
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* Deploys a model. If a model is already deployed, deploying it with the
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* same parameters has no effect. Deploying with different parametrs
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* (as e.g. changing
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* [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number]
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* ) will update the deployment without pausing the model's availability.
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* [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number])
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* will reset the deployment state without pausing the model's availability.
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* Only applicable for Text Classification, Image Object Detection and Tables;
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* all other domains manage deployment automatically.
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* Returns an empty response in the
@@ -2041,7 +2042,8 @@ public void deleteDataset(
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*
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*
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* <pre>
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* Imports data into a dataset. For Tables this method can only be called on an empty Dataset.
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* Imports data into a dataset.
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* For Tables this method can only be called on an empty Dataset.
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* For Tables:
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* * A
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* [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params]
@@ -2272,8 +2274,8 @@ public void deleteModel(
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* Deploys a model. If a model is already deployed, deploying it with the
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* same parameters has no effect. Deploying with different parametrs
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* (as e.g. changing
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* [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number]
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* ) will update the deployment without pausing the model's availability.
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* [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number])
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* will reset the deployment state without pausing the model's availability.
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* Only applicable for Text Classification, Image Object Detection and Tables;
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* all other domains manage deployment automatically.
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* Returns an empty response in the
@@ -2495,7 +2497,8 @@ public com.google.longrunning.Operation deleteDataset(
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*
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*
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* <pre>
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* Imports data into a dataset. For Tables this method can only be called on an empty Dataset.
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* Imports data into a dataset.
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* For Tables this method can only be called on an empty Dataset.
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* For Tables:
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* * A
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* [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params]
@@ -2682,8 +2685,8 @@ public com.google.longrunning.Operation deleteModel(
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* Deploys a model. If a model is already deployed, deploying it with the
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* same parameters has no effect. Deploying with different parametrs
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* (as e.g. changing
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* [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number]
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* ) will update the deployment without pausing the model's availability.
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* [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number])
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* will reset the deployment state without pausing the model's availability.
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* Only applicable for Text Classification, Image Object Detection and Tables;
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* all other domains manage deployment automatically.
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* Returns an empty response in the
@@ -2888,7 +2891,8 @@ protected AutoMlFutureStub build(io.grpc.Channel channel, io.grpc.CallOptions ca
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*
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*
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* <pre>
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* Imports data into a dataset. For Tables this method can only be called on an empty Dataset.
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* Imports data into a dataset.
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* For Tables this method can only be called on an empty Dataset.
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* For Tables:
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* * A
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* [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params]
@@ -3084,8 +3088,8 @@ protected AutoMlFutureStub build(io.grpc.Channel channel, io.grpc.CallOptions ca
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* Deploys a model. If a model is already deployed, deploying it with the
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* same parameters has no effect. Deploying with different parametrs
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* (as e.g. changing
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* [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number]
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* ) will update the deployment without pausing the model's availability.
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* [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number])
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* will reset the deployment state without pausing the model's availability.
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* Only applicable for Text Classification, Image Object Detection and Tables;
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* all other domains manage deployment automatically.
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* Returns an empty response in the

‎trunk/google-api-grpc/grpc-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/PredictionServiceGrpc.java‎

Lines changed: 24 additions & 16 deletions
Original file line numberDiff line numberDiff line change
@@ -174,14 +174,15 @@ public abstract static class PredictionServiceImplBase implements io.grpc.Bindab
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* up to 30MB.
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* * Image Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes
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* up to 30MB.
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* * Text Classification - TextSnippet, content up to 10,000 characters,
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* * Text Classification - TextSnippet, content up to 60,000 characters,
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* UTF-8 encoded.
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* * Text Extraction - TextSnippet, content up to 30,000 characters,
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* UTF-8 NFC encoded. * Translation - TextSnippet, content up to 25,000 characters, UTF-8
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* UTF-8 NFC encoded.
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* * Translation - TextSnippet, content up to 25,000 characters, UTF-8
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* encoded.
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* * Tables - Row, with column values matching the columns of the model,
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* up to 5MB.
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* * Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded.
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* up to 5MB. Not available for FORECASTING
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* [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type].
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* </pre>
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*/
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public void predict(
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* the [response][google.longrunning.Operation.response] field.
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* Available for following ML problems:
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* * Video Classification
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* * Video Object Tracking
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* * Text Extraction
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* * Tables
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* </pre>
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* up to 30MB.
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* * Image Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes
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* up to 30MB.
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* * Text Classification - TextSnippet, content up to 10,000 characters,
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* * Text Classification - TextSnippet, content up to 60,000 characters,
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* UTF-8 encoded.
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* * Text Extraction - TextSnippet, content up to 30,000 characters,
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* UTF-8 NFC encoded. * Translation - TextSnippet, content up to 25,000 characters, UTF-8
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* UTF-8 NFC encoded.
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* * Translation - TextSnippet, content up to 25,000 characters, UTF-8
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* encoded.
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* * Tables - Row, with column values matching the columns of the model,
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* up to 5MB.
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* * Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded.
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* up to 5MB. Not available for FORECASTING
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* [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type].
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* </pre>
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*/
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public void predict(
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* the [response][google.longrunning.Operation.response] field.
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* Available for following ML problems:
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* * Video Classification
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* * Video Object Tracking
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* * Text Extraction
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* * Tables
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* </pre>
@@ -351,14 +355,15 @@ protected PredictionServiceBlockingStub build(
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* up to 30MB.
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* * Image Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes
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* up to 30MB.
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* * Text Classification - TextSnippet, content up to 10,000 characters,
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* * Text Classification - TextSnippet, content up to 60,000 characters,
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* UTF-8 encoded.
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* * Text Extraction - TextSnippet, content up to 30,000 characters,
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* UTF-8 NFC encoded. * Translation - TextSnippet, content up to 25,000 characters, UTF-8
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* UTF-8 NFC encoded.
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* * Translation - TextSnippet, content up to 25,000 characters, UTF-8
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* encoded.
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* * Tables - Row, with column values matching the columns of the model,
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* up to 5MB.
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* * Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded.
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* up to 5MB. Not available for FORECASTING
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* [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type].
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* </pre>
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*/
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public com.google.cloud.automl.v1beta1.PredictResponse predict(
@@ -378,6 +383,7 @@ public com.google.cloud.automl.v1beta1.PredictResponse predict(
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* the [response][google.longrunning.Operation.response] field.
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* Available for following ML problems:
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* * Video Classification
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* * Video Object Tracking
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* * Text Extraction
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* * Tables
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* </pre>
@@ -425,14 +431,15 @@ protected PredictionServiceFutureStub build(
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* up to 30MB.
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* * Image Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes
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* up to 30MB.
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* * Text Classification - TextSnippet, content up to 10,000 characters,
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* * Text Classification - TextSnippet, content up to 60,000 characters,
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* UTF-8 encoded.
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* * Text Extraction - TextSnippet, content up to 30,000 characters,
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* UTF-8 NFC encoded. * Translation - TextSnippet, content up to 25,000 characters, UTF-8
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* UTF-8 NFC encoded.
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* * Translation - TextSnippet, content up to 25,000 characters, UTF-8
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* encoded.
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* * Tables - Row, with column values matching the columns of the model,
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* up to 5MB.
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* * Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded.
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* up to 5MB. Not available for FORECASTING
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* [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type].
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* </pre>
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*/
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public com.google.common.util.concurrent.ListenableFuture<
@@ -454,6 +461,7 @@ protected PredictionServiceFutureStub build(
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* the [response][google.longrunning.Operation.response] field.
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* Available for following ML problems:
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* * Video Classification
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* * Video Object Tracking
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* * Text Extraction
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* * Tables
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* </pre>

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