Ada lebih banyak contoh AWS SDK yang tersedia di repo Contoh [SDK AWS Doc](https://github.com/awsdocs/aws-doc-sdk-examples). GitHub 

Terjemahan disediakan oleh mesin penerjemah. Jika konten terjemahan yang diberikan bertentangan dengan versi bahasa Inggris aslinya, utamakan versi bahasa Inggris.

# Contoh kode untuk Forecast menggunakan AWS SDKs
<a name="forecast_code_examples"></a>

Contoh kode berikut menunjukkan cara menggunakan Amazon Forecast dengan AWS software development kit (SDK).

*Tindakan* merupakan kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Sementara tindakan menunjukkan cara memanggil fungsi layanan individual, Anda dapat melihat tindakan dalam konteks dalam skenario terkait.

**Sumber daya lainnya**
+  **[Panduan Pengguna Forecast](https://docs.aws.amazon.com/forecast/latest/dg/getting-started.html)** — Informasi lebih lanjut tentang Forecast.
+ **[Referensi Forecast API](https://docs.aws.amazon.com/forecast/latest/dg/api-reference.html)** — Detail tentang semua tindakan Forecast yang tersedia.
+ **[AWS Pusat Pengembang](https://aws.amazon.com/developer/code-examples/?awsf.sdk-code-examples-product=product%23forecast)** - Contoh kode yang dapat Anda filter berdasarkan kategori atau pencarian teks lengkap.
+ **[AWS Contoh SDK](https://github.com/awsdocs/aws-doc-sdk-examples)** — GitHub repo dengan kode lengkap dalam bahasa pilihan. Termasuk instruksi untuk mengatur dan menjalankan kode.

**Contents**
+ [Hal-hal mendasar](forecast_code_examples_basics.md)
  + [Tindakan](forecast_code_examples_actions.md)
    + [`CreateDataset`](forecast_example_forecast_CreateDataset_section.md)
    + [`CreateForecast`](forecast_example_forecast_CreateForecast_section.md)
    + [`DeleteDataset`](forecast_example_forecast_DeleteDataset_section.md)
    + [`DeleteForecast`](forecast_example_forecast_DeleteForecast_section.md)
    + [`DescribeForecast`](forecast_example_forecast_DescribeForecast_section.md)
    + [`ListDatasetGroups`](forecast_example_forecast_ListDatasetGroups_section.md)
    + [`ListForecasts`](forecast_example_forecast_ListForecasts_section.md)

# Contoh dasar untuk Forecast menggunakan AWS SDKs
<a name="forecast_code_examples_basics"></a>

Contoh kode berikut menunjukkan cara menggunakan dasar-dasar Amazon Forecast dengan AWS SDKs. 

**Contents**
+ [Tindakan](forecast_code_examples_actions.md)
  + [`CreateDataset`](forecast_example_forecast_CreateDataset_section.md)
  + [`CreateForecast`](forecast_example_forecast_CreateForecast_section.md)
  + [`DeleteDataset`](forecast_example_forecast_DeleteDataset_section.md)
  + [`DeleteForecast`](forecast_example_forecast_DeleteForecast_section.md)
  + [`DescribeForecast`](forecast_example_forecast_DescribeForecast_section.md)
  + [`ListDatasetGroups`](forecast_example_forecast_ListDatasetGroups_section.md)
  + [`ListForecasts`](forecast_example_forecast_ListForecasts_section.md)

# Tindakan untuk Forecast menggunakan AWS SDKs
<a name="forecast_code_examples_actions"></a>

Contoh kode berikut menunjukkan cara melakukan tindakan Forecast individual dengan AWS SDKs. Setiap contoh menyertakan tautan ke GitHub, di mana Anda dapat menemukan instruksi untuk mengatur dan menjalankan kode. 

 Contoh berikut hanya mencakup tindakan yang paling umum digunakan. Untuk daftar lengkapnya, lihat [Referensi API Amazon Forecast](https://docs.aws.amazon.com/forecast/latest/dg/api-reference.html). 

**Topics**
+ [`CreateDataset`](forecast_example_forecast_CreateDataset_section.md)
+ [`CreateForecast`](forecast_example_forecast_CreateForecast_section.md)
+ [`DeleteDataset`](forecast_example_forecast_DeleteDataset_section.md)
+ [`DeleteForecast`](forecast_example_forecast_DeleteForecast_section.md)
+ [`DescribeForecast`](forecast_example_forecast_DescribeForecast_section.md)
+ [`ListDatasetGroups`](forecast_example_forecast_ListDatasetGroups_section.md)
+ [`ListForecasts`](forecast_example_forecast_ListForecasts_section.md)

# Gunakan `CreateDataset` dengan AWS SDK
<a name="forecast_example_forecast_CreateDataset_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`CreateDataset`.

------
#### [ Java ]

**SDK untuk Java 2.x**  
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/forecast#code-examples). 

```
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.forecast.ForecastClient;
import software.amazon.awssdk.services.forecast.model.CreateDatasetRequest;
import software.amazon.awssdk.services.forecast.model.Schema;
import software.amazon.awssdk.services.forecast.model.SchemaAttribute;
import software.amazon.awssdk.services.forecast.model.CreateDatasetResponse;
import software.amazon.awssdk.services.forecast.model.ForecastException;
import java.util.ArrayList;
import java.util.List;

/**
 * Before running this Java V2 code example, set up your development
 * environment, including your credentials.
 *
 * For more information, see the following documentation topic:
 *
 * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html
 */
public class CreateDataSet {
    public static void main(String[] args) {
        final String usage = """

                Usage:
                    <name>\s

                Where:
                    name - The name of the data set.\s
                """;

        if (args.length != 1) {
            System.out.println(usage);
            System.exit(1);
        }

        String name = args[0];
        Region region = Region.US_WEST_2;
        ForecastClient forecast = ForecastClient.builder()
                .region(region)
                .build();

        String myDataSetARN = createForecastDataSet(forecast, name);
        System.out.println("The ARN of the new data set is " + myDataSetARN);
        forecast.close();
    }

    public static String createForecastDataSet(ForecastClient forecast, String name) {
        try {
            Schema schema = Schema.builder()
                    .attributes(getSchema())
                    .build();

            CreateDatasetRequest datasetRequest = CreateDatasetRequest.builder()
                    .datasetName(name)
                    .domain("CUSTOM")
                    .datasetType("RELATED_TIME_SERIES")
                    .dataFrequency("D")
                    .schema(schema)
                    .build();

            CreateDatasetResponse response = forecast.createDataset(datasetRequest);
            return response.datasetArn();

        } catch (ForecastException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }

        return "";
    }

    // Create a SchemaAttribute list required to create a data set.
    private static List<SchemaAttribute> getSchema() {

        List<SchemaAttribute> schemaList = new ArrayList<>();
        SchemaAttribute att1 = SchemaAttribute.builder()
                .attributeName("item_id")
                .attributeType("string")
                .build();

        SchemaAttribute att2 = SchemaAttribute.builder()
                .attributeName("timestamp")
                .attributeType("timestamp")
                .build();

        SchemaAttribute att3 = SchemaAttribute.builder()
                .attributeName("target_value")
                .attributeType("float")
                .build();

        // Push the SchemaAttribute objects to the List.
        schemaList.add(att1);
        schemaList.add(att2);
        schemaList.add(att3);
        return schemaList;
    }
}
```
+  Untuk detail API, lihat [CreateDataset](https://docs.aws.amazon.com/goto/SdkForJavaV2/forecast-2018-06-26/CreateDataset)di *Referensi AWS SDK for Java 2.x API*. 

------

# Gunakan `CreateForecast` dengan AWS SDK
<a name="forecast_example_forecast_CreateForecast_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`CreateForecast`.

------
#### [ Java ]

**SDK untuk Java 2.x**  
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/forecast#code-examples). 

```
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.forecast.ForecastClient;
import software.amazon.awssdk.services.forecast.model.CreateForecastRequest;
import software.amazon.awssdk.services.forecast.model.CreateForecastResponse;
import software.amazon.awssdk.services.forecast.model.ForecastException;

/**
 * Before running this Java V2 code example, set up your development
 * environment, including your credentials.
 *
 * For more information, see the following documentation topic:
 *
 * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html
 */
public class CreateForecast {
    public static void main(String[] args) {
        final String usage = """

                Usage:
                    <name> <predictorArn>\s

                Where:
                    name - The name of the forecast.\s
                    predictorArn - The arn of the predictor to use.\s

                """;

        if (args.length != 2) {
            System.out.println(usage);
            System.exit(1);
        }

        String name = args[0];
        String predictorArn = args[1];
        Region region = Region.US_WEST_2;
        ForecastClient forecast = ForecastClient.builder()
                .region(region)
                .build();

        String forecastArn = createNewForecast(forecast, name, predictorArn);
        System.out.println("The ARN of the new forecast is " + forecastArn);
        forecast.close();
    }

    public static String createNewForecast(ForecastClient forecast, String name, String predictorArn) {
        try {
            CreateForecastRequest forecastRequest = CreateForecastRequest.builder()
                    .forecastName(name)
                    .predictorArn(predictorArn)
                    .build();

            CreateForecastResponse response = forecast.createForecast(forecastRequest);
            return response.forecastArn();

        } catch (ForecastException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
        return "";
    }
}
```
+  Untuk detail API, lihat [CreateForecast](https://docs.aws.amazon.com/goto/SdkForJavaV2/forecast-2018-06-26/CreateForecast)di *Referensi AWS SDK for Java 2.x API*. 

------

# Gunakan `DeleteDataset` dengan AWS SDK
<a name="forecast_example_forecast_DeleteDataset_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`DeleteDataset`.

------
#### [ Java ]

**SDK untuk Java 2.x**  
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/forecast#code-examples). 

```
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.forecast.ForecastClient;
import software.amazon.awssdk.services.forecast.model.DeleteDatasetRequest;
import software.amazon.awssdk.services.forecast.model.ForecastException;

/**
 * Before running this Java V2 code example, set up your development
 * environment, including your credentials.
 *
 * For more information, see the following documentation topic:
 *
 * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html
 */
public class DeleteDataset {

    public static void main(String[] args) {
        final String usage = """

                Usage:
                    <datasetARN>\s

                Where:
                    datasetARN - The ARN of the data set to delete.\s
                """;

        if (args.length != 1) {
            System.out.println(usage);
            System.exit(1);
        }

        String datasetARN = args[0];
        Region region = Region.US_WEST_2;
        ForecastClient forecast = ForecastClient.builder()
                .region(region)
                .build();

        deleteForecastDataSet(forecast, datasetARN);
        forecast.close();
    }

    public static void deleteForecastDataSet(ForecastClient forecast, String myDataSetARN) {
        try {
            DeleteDatasetRequest deleteRequest = DeleteDatasetRequest.builder()
                    .datasetArn(myDataSetARN)
                    .build();

            forecast.deleteDataset(deleteRequest);
            System.out.println("The Data Set was deleted");

        } catch (ForecastException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
    }
}
```
+  Untuk detail API, lihat [DeleteDataset](https://docs.aws.amazon.com/goto/SdkForJavaV2/forecast-2018-06-26/DeleteDataset)di *Referensi AWS SDK for Java 2.x API*. 

------

# Gunakan `DeleteForecast` dengan AWS SDK
<a name="forecast_example_forecast_DeleteForecast_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`DeleteForecast`.

------
#### [ Java ]

**SDK untuk Java 2.x**  
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/forecast#code-examples). 

```
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.forecast.ForecastClient;
import software.amazon.awssdk.services.forecast.model.DeleteDatasetRequest;
import software.amazon.awssdk.services.forecast.model.ForecastException;

/**
 * Before running this Java V2 code example, set up your development
 * environment, including your credentials.
 *
 * For more information, see the following documentation topic:
 *
 * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html
 */
public class DeleteDataset {

    public static void main(String[] args) {
        final String usage = """

                Usage:
                    <datasetARN>\s

                Where:
                    datasetARN - The ARN of the data set to delete.\s
                """;

        if (args.length != 1) {
            System.out.println(usage);
            System.exit(1);
        }

        String datasetARN = args[0];
        Region region = Region.US_WEST_2;
        ForecastClient forecast = ForecastClient.builder()
                .region(region)
                .build();

        deleteForecastDataSet(forecast, datasetARN);
        forecast.close();
    }

    public static void deleteForecastDataSet(ForecastClient forecast, String myDataSetARN) {
        try {
            DeleteDatasetRequest deleteRequest = DeleteDatasetRequest.builder()
                    .datasetArn(myDataSetARN)
                    .build();

            forecast.deleteDataset(deleteRequest);
            System.out.println("The Data Set was deleted");

        } catch (ForecastException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
    }
}
```
+  Untuk detail API, lihat [DeleteForecast](https://docs.aws.amazon.com/goto/SdkForJavaV2/forecast-2018-06-26/DeleteForecast)di *Referensi AWS SDK for Java 2.x API*. 

------

# Gunakan `DescribeForecast` dengan AWS SDK
<a name="forecast_example_forecast_DescribeForecast_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`DescribeForecast`.

------
#### [ Java ]

**SDK untuk Java 2.x**  
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/forecast#code-examples). 

```
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.forecast.ForecastClient;
import software.amazon.awssdk.services.forecast.model.DescribeForecastRequest;
import software.amazon.awssdk.services.forecast.model.DescribeForecastResponse;
import software.amazon.awssdk.services.forecast.model.ForecastException;

/**
 * Before running this Java V2 code example, set up your development
 * environment, including your credentials.
 *
 * For more information, see the following documentation topic:
 *
 * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html
 */
public class DescribeForecast {
    public static void main(String[] args) {
        final String usage = """

                Usage:
                    <forecastarn>\s

                Where:
                    forecastarn - The arn of the forecast (for example, "arn:aws:forecast:us-west-2:xxxxx322:forecast/my_forecast)
                """;

        if (args.length != 1) {
            System.out.println(usage);
            System.exit(1);
        }

        String forecastarn = args[0];
        Region region = Region.US_WEST_2;
        ForecastClient forecast = ForecastClient.builder()
                .region(region)
                .build();

        describe(forecast, forecastarn);
        forecast.close();
    }

    public static void describe(ForecastClient forecast, String forecastarn) {
        try {
            DescribeForecastRequest request = DescribeForecastRequest.builder()
                    .forecastArn(forecastarn)
                    .build();

            DescribeForecastResponse response = forecast.describeForecast(request);
            System.out.println("The name of the forecast is " + response.forecastName());

        } catch (ForecastException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
    }
}
```
+  Untuk detail API, lihat [DescribeForecast](https://docs.aws.amazon.com/goto/SdkForJavaV2/forecast-2018-06-26/DescribeForecast)di *Referensi AWS SDK for Java 2.x API*. 

------

# Gunakan `ListDatasetGroups` dengan AWS SDK
<a name="forecast_example_forecast_ListDatasetGroups_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`ListDatasetGroups`.

------
#### [ Java ]

**SDK untuk Java 2.x**  
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/forecast#code-examples). 

```
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.forecast.ForecastClient;
import software.amazon.awssdk.services.forecast.model.DatasetGroupSummary;
import software.amazon.awssdk.services.forecast.model.ListDatasetGroupsRequest;
import software.amazon.awssdk.services.forecast.model.ListDatasetGroupsResponse;
import software.amazon.awssdk.services.forecast.model.ForecastException;
import java.util.List;

/**
 * Before running this Java V2 code example, set up your development
 * environment, including your credentials.
 *
 * For more information, see the following documentation topic:
 *
 * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html
 */
public class ListDataSetGroups {
    public static void main(String[] args) {
        Region region = Region.US_WEST_2;
        ForecastClient forecast = ForecastClient.builder()
                .region(region)
                .build();

        listDataGroups(forecast);
        forecast.close();
    }

    public static void listDataGroups(ForecastClient forecast) {
        try {
            ListDatasetGroupsRequest group = ListDatasetGroupsRequest.builder()
                    .maxResults(10)
                    .build();

            ListDatasetGroupsResponse response = forecast.listDatasetGroups(group);
            List<DatasetGroupSummary> groups = response.datasetGroups();
            for (DatasetGroupSummary myGroup : groups) {
                System.out.println("The Data Set name is " + myGroup.datasetGroupName());
            }

        } catch (ForecastException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
    }
}
```
+  Untuk detail API, lihat [ListDatasetGroups](https://docs.aws.amazon.com/goto/SdkForJavaV2/forecast-2018-06-26/ListDatasetGroups)di *Referensi AWS SDK for Java 2.x API*. 

------

# Gunakan `ListForecasts` dengan AWS SDK
<a name="forecast_example_forecast_ListForecasts_section"></a>

Contoh kode berikut menunjukkan cara menggunakan`ListForecasts`.

------
#### [ Java ]

**SDK untuk Java 2.x**  
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/forecast#code-examples). 

```
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.forecast.ForecastClient;
import software.amazon.awssdk.services.forecast.model.ListForecastsResponse;
import software.amazon.awssdk.services.forecast.model.ListForecastsRequest;
import software.amazon.awssdk.services.forecast.model.ForecastSummary;
import software.amazon.awssdk.services.forecast.model.ForecastException;
import java.util.List;

/**
 * Before running this Java V2 code example, set up your development
 * environment, including your credentials.
 *
 * For more information, see the following documentation topic:
 *
 * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html
 */
public class ListForecasts {

    public static void main(String[] args) {
        Region region = Region.US_WEST_2;
        ForecastClient forecast = ForecastClient.builder()
                .region(region)
                .build();

        listAllForeCasts(forecast);
        forecast.close();
    }

    public static void listAllForeCasts(ForecastClient forecast) {
        try {
            ListForecastsRequest request = ListForecastsRequest.builder()
                    .maxResults(10)
                    .build();

            ListForecastsResponse response = forecast.listForecasts(request);
            List<ForecastSummary> forecasts = response.forecasts();
            for (ForecastSummary forecastSummary : forecasts) {
                System.out.println("The name of the forecast is " + forecastSummary.forecastName());
            }

        } catch (ForecastException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
    }
}
```
+  Untuk detail API, lihat [ListForecasts](https://docs.aws.amazon.com/goto/SdkForJavaV2/forecast-2018-06-26/ListForecasts)di *Referensi AWS SDK for Java 2.x API*. 

------