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automl/cloud-client/README.md

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# AutoML Samples
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<a href="https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/GoogleCloudPlatform/java-docs-samples&page=editor&open_in_editor=vision/beta/cloud-client/README.md">
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<img alt="Open in Cloud Shell" src ="http://gstatic.com/cloudssh/images/open-btn.png"></a>
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This directory contains samples for the [Google Cloud AutoML APIs](https://cloud.google.com/automl/) - [docs](https://cloud.google.com/automl/docs/)
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We highly reccommend that you refer to the official documentation pages:
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<!--* AutoML Natural Language
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* [Classification](https://cloud.google.com/natural-language/automl/docs)
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* [Entity Extraction](https://cloud.google.com/natural-language/automl/entity-analysis/docs)
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* [Sentiment Analysis](https://cloud.google.com/natural-language/automl/sentiment/docs) -->
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* [AutoML Translation](https://cloud.google.com/translate/automl/docs)
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<!--* AutoML Video Intelligence
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* [Classification](https://cloud.google.com/video-intelligence/automl/docs)
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* [Object Tracking](https://cloud.google.com/video-intelligence/automl/object-tracking/docs)
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* AutoML Vision
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* [Classification](https://cloud.google.com/vision/automl/docs)
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* [Edge](https://cloud.google.com/vision/automl/docs/edge-quickstart)
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* [Object Detection](https://cloud.google.com/vision/automl/object-detection/docs)
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* [AutoML Tables](https://cloud.google.com/automl-tables/docs)-->
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This API is part of the larger collection of Cloud Machine Learning APIs.
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These Java samples demonstrates how to access the Cloud AutoML API
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using the [Google Cloud Client Library for Java][google-cloud-java].
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[google-cloud-java]: https://github.com/GoogleCloudPlatform/google-cloud-java
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## Build the samples
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Install [Maven](http://maven.apache.org/).
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Build your project with:
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```
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mvn clean package
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```
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## Sample Types
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There are two types of samples: Base and API Specific
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The base samples make up a set of samples that have code that
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is identical or nearly identical for each AutoML Type. Meaning that for "Base" samples you can use them with any AutoML
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Type. However, for API Specific samples, there will be a unique sample for each AutoML type. See the below list for more info.
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## Base Samples
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### Dataset Management
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* [Import Dataset](src/main/java/com/example/automl/ImportDataset.java)
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* [List Datasets](src/main/java/com/example/automl/ListDatasets.java) - For each AutoML Type the `metadata` field inside the dataset is unique, therefore each AutoML Type will have a
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small section of code to print out the `metadata` field.
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* [Get Dataset](src/main/java/com/example/automl/GetDataset.java) - For each AutoML Type the `metadata` field inside the dataset is unique, therefore each AutoML Type will have a
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small section of code to print out the `metadata` field.
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* [Export Dataset](src/main/java/com/example/automl/ExportDataset.java)
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* [Delete Dataset](src/main/java/com/example/automl/DeleteDataset.java)
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### Model Management
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* [List Models](src/main/java/com/example/automl/ListModels.java)
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* [List Model Evaluation](src/main/java/com/example/automl/ListModelEvaluations.java)
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* [Get Model](src/main/java/com/example/automl/)
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* [Get Model Evaluation](src/main/java/com/example/automl/GetModelEvaluation.java)
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* [Delete Model](src/main/java/com/example/automl/DeleteModel.java)
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### Operation Management
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* [List Operation Statuses](src/main/java/com/example/automl/ListOperationStatus.java)
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* [Get Operation Status](src/main/java/com/example/automl/GetOperationStatus.java)
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## AutoML Type Specific Samples
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### Translation
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* [Translate Create Dataset](src/main/java/com/example/automl/TranslateCreateDataset.java)
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* [Translate Create Model](src/main/java/com/example/automl/TranslateCreateModel.java)
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* [Translate Predict](src/main/java/com/example/automl/TranslatePredict.java)

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