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README.md

AutoML Sample

Open in Cloud Shell

Google Cloud AutoML Natural Language API provides feature detection for images.

This API is part of the larger collection of Cloud Machine Learning APIs.

This sample Java application demonstrates how to access the Cloud Natural Language AutoML API using the Google Cloud Client Library for Java.

Set the environment variables

PROJECT_ID = [Id of the project] REGION_NAME = [Region name]

Build the sample

Install Maven.

Build your project with:

mvn clean package

Dataset API

Create a new dataset

mvn exec:java -Dexec.mainClass="com.google.cloud.language.samples.DatasetApi" -Dexec.args="create_dataset test_dataset"

List datasets

mvn exec:java -Dexec.mainClass="com.google.cloud.language.samples.DatasetApi" -Dexec.args="list_datasets"

Get dataset

mvn exec:java -Dexec.mainClass="com.google.cloud.language.samples.DatasetApi" -Dexec.args="get_dataset [dataset-id]"

Import data

mvn exec:java -Dexec.mainClass="com.google.cloud.language.samples.DatasetApi" -Dexec.args="import_data [dataset-id] gs://java-docs-samples-testing/happiness.csv"

Model API

Create Model

mvn exec:java -Dexec.mainClass="com.google.cloud.language.samples.ModelApi" -Dexec.args="create_model test_model"

List Models

mvn exec:java -Dexec.mainClass="com.google.cloud.language.samples.ModelApi" -Dexec.args="list_models"

Get Model

mvn exec:java -Dexec.mainClass="com.google.cloud.language.samples.ModelApi" -Dexec.args="get_model [model-id]"

List Model Evaluations

mvn exec:java -Dexec.mainClass="com.google.cloud.language.samples.ModelApi" -Dexec.args="list_model_evaluation [model-id]"

Get Model Evaluation

mvn exec:java -Dexec.mainClass="com.google.cloud.language.samples.ModelApi" -Dexec.args="get_model_evaluation [model-id] [model-evaluation-id]"

Delete Model

mvn exec:java-Dexec.mainClass="com.google.cloud.language.samples.ModelApi" -Dexec.args="delete_model [model-id]"

Predict API

mvn exec:java -Dexec.mainClass="com.google.cloud.language.samples.PredictApi" -Dexec.args="predict [model-id] ./resources/input.txt"