Serialized Form (AWS Java SDK for Amazon Forecast 1.11.714 API)

Package com.amazonaws.services.forecast.model
- Class com.amazonaws.services.forecast.model.AmazonForecastException extends AmazonServiceException implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.amazonaws.services.forecast.model.CategoricalParameterRange extends Object implements Serializable
  - Serialized Fields
    - name
```
String name
```
      The name of the categorical hyperparameter to tune.
    - values
```
List<E> values
```
      A list of the tunable categories for the hyperparameter.
- Class com.amazonaws.services.forecast.model.ContinuousParameterRange extends Object implements Serializable
  - Serialized Fields
    - name
```
String name
```
      The name of the hyperparameter to tune.
    - maxValue
```
Double maxValue
```
      The maximum tunable value of the hyperparameter.
    - minValue
```
Double minValue
```
      The minimum tunable value of the hyperparameter.
    - scalingType
```
String scalingType
```
      The scale that hyperparameter tuning uses to search the hyperparameter range. Valid values:
      
      Auto
      
      Amazon Forecast hyperparameter tuning chooses the best scale for the hyperparameter.
      
      Linear
      
      Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
      
      Logarithmic
      
      Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
      
      Logarithmic scaling works only for ranges that have values greater than 0.
      
      ReverseLogarithmic
      
      hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.
      
      Reverse logarithmic scaling works only for ranges that are entirely within the range 0 <= x < 1.0.
      
      For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:
- Class com.amazonaws.services.forecast.model.CreateDatasetGroupRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - datasetGroupName
```
String datasetGroupName
```
      A name for the dataset group.
    - domain
```
String domain
```
      The domain associated with the dataset group. When you add a dataset to a dataset group, this value and the value specified for the Domain parameter of the CreateDataset operation must match.
      
      The Domain and DatasetType that you choose determine the fields that must be present in training data that you import to a dataset. For example, if you choose the RETAIL domain and TARGET_TIME_SERIES as the DatasetType, Amazon Forecast requires that item_id, timestamp, and demand fields are present in your data. For more information, see howitworks-datasets-groups.
    - datasetArns
```
List<E> datasetArns
```
      An array of Amazon Resource Names (ARNs) of the datasets that you want to include in the dataset group.
- Class com.amazonaws.services.forecast.model.CreateDatasetGroupResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - datasetGroupArn
```
String datasetGroupArn
```
      The Amazon Resource Name (ARN) of the dataset group.
- Class com.amazonaws.services.forecast.model.CreateDatasetImportJobRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - datasetImportJobName
```
String datasetImportJobName
```
      The name for the dataset import job. We recommend including the current timestamp in the name, for example, 20190721DatasetImport. This can help you avoid getting a ResourceAlreadyExistsException exception.
    - datasetArn
```
String datasetArn
```
      The Amazon Resource Name (ARN) of the Amazon Forecast dataset that you want to import data to.
    - dataSource
```
DataSource dataSource
```
      The location of the training data to import and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data. The training data must be stored in an Amazon S3 bucket.
      
      If encryption is used, DataSource must include an AWS Key Management Service (KMS) key and the IAM role must allow Amazon Forecast permission to access the key. The KMS key and IAM role must match those specified in the EncryptionConfig parameter of the CreateDataset operation.
    - timestampFormat
```
String timestampFormat
```
      The format of timestamps in the dataset. The format that you specify depends on the DataFrequency specified when the dataset was created. The following formats are supported
      
      "yyyy-MM-dd"
      
      For the following data frequencies: Y, M, W, and D
      
      "yyyy-MM-dd HH:mm:ss"
      
      For the following data frequencies: H, 30min, 15min, and 1min; and optionally, for: Y, M, W, and D
      
      If the format isn't specified, Amazon Forecast expects the format to be "yyyy-MM-dd HH:mm:ss".
- Class com.amazonaws.services.forecast.model.CreateDatasetImportJobResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - datasetImportJobArn
```
String datasetImportJobArn
```
      The Amazon Resource Name (ARN) of the dataset import job.
- Class com.amazonaws.services.forecast.model.CreateDatasetRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - datasetName
```
String datasetName
```
      A name for the dataset.
    - domain
```
String domain
```
      The domain associated with the dataset. When you add a dataset to a dataset group, this value and the value specified for the Domain parameter of the CreateDatasetGroup operation must match.
      
      The Domain and DatasetType that you choose determine the fields that must be present in the training data that you import to the dataset. For example, if you choose the RETAIL domain and TARGET_TIME_SERIES as the DatasetType, Amazon Forecast requires item_id, timestamp, and demand fields to be present in your data. For more information, see howitworks-datasets-groups.
    - datasetType
```
String datasetType
```
      The dataset type. Valid values depend on the chosen Domain.
    - dataFrequency
```
String dataFrequency
```
      The frequency of data collection. This parameter is required for RELATED_TIME_SERIES datasets.
      
      Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and 1min (1 minute). For example, "D" indicates every day and "15min" indicates every 15 minutes.
    - schema
```
Schema schema
```
      The schema for the dataset. The schema attributes and their order must match the fields in your data. The dataset Domain and DatasetType that you choose determine the minimum required fields in your training data. For information about the required fields for a specific dataset domain and type, see howitworks-domains-ds-types.
    - encryptionConfig
```
EncryptionConfig encryptionConfig
```
      An AWS Key Management Service (KMS) key and the AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.
- Class com.amazonaws.services.forecast.model.CreateDatasetResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - datasetArn
```
String datasetArn
```
      The Amazon Resource Name (ARN) of the dataset.
- Class com.amazonaws.services.forecast.model.CreateForecastExportJobRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - forecastExportJobName
```
String forecastExportJobName
```
      The name for the forecast export job.
    - forecastArn
```
String forecastArn
```
      The Amazon Resource Name (ARN) of the forecast that you want to export.
    - destination
```
DataDestination destination
```
      The location where you want to save the forecast and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the location. The forecast must be exported to an Amazon S3 bucket.
      
      If encryption is used, Destination must include an AWS Key Management Service (KMS) key. The IAM role must allow Amazon Forecast permission to access the key.
- Class com.amazonaws.services.forecast.model.CreateForecastExportJobResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - forecastExportJobArn
```
String forecastExportJobArn
```
      The Amazon Resource Name (ARN) of the export job.
- Class com.amazonaws.services.forecast.model.CreateForecastRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - forecastName
```
String forecastName
```
      A name for the forecast.
    - predictorArn
```
String predictorArn
```
      The Amazon Resource Name (ARN) of the predictor to use to generate the forecast.
    - forecastTypes
```
List<E> forecastTypes
```
      The quantiles at which probabilistic forecasts are generated. You can specify up to 5 quantiles per forecast. Accepted values include 0.01 to 0.99 (increments of .01 only) and mean. The mean forecast is different from the median (0.50) when the distribution is not symmetric (e.g. Beta, Negative Binomial). The default value is ["0.1", "0.5", "0.9"].
- Class com.amazonaws.services.forecast.model.CreateForecastResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - forecastArn
```
String forecastArn
```
      The Amazon Resource Name (ARN) of the forecast.
- Class com.amazonaws.services.forecast.model.CreatePredictorRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - predictorName
```
String predictorName
```
      A name for the predictor.
    - algorithmArn
```
String algorithmArn
```
      The Amazon Resource Name (ARN) of the algorithm to use for model training. Required if PerformAutoML is not set to true.
      
      Supported algorithms:
      
      arn:aws:forecast:::algorithm/ARIMA
      
      arn:aws:forecast:::algorithm/Deep_AR_Plus
      
      Supports hyperparameter optimization (HPO)
      
      arn:aws:forecast:::algorithm/ETS
      
      arn:aws:forecast:::algorithm/NPTS
      
      arn:aws:forecast:::algorithm/Prophet
    - forecastHorizon
```
Integer forecastHorizon
```
      Specifies the number of time-steps that the model is trained to predict. The forecast horizon is also called the prediction length.
      
      For example, if you configure a dataset for daily data collection (using the DataFrequency parameter of the CreateDataset operation) and set the forecast horizon to 10, the model returns predictions for 10 days.
      
      The maximum forecast horizon is the lesser of 500 time-steps or 1/3 of the TARGET_TIME_SERIES dataset length.
    - performAutoML
```
Boolean performAutoML
```
      Whether to perform AutoML. When Amazon Forecast performs AutoML, it evaluates the algorithms it provides and chooses the best algorithm and configuration for your training dataset.
      
      The default value is false. In this case, you are required to specify an algorithm.
      
      Set PerformAutoML to true to have Amazon Forecast perform AutoML. This is a good option if you aren't sure which algorithm is suitable for your training data. In this case, PerformHPO must be false.
    - performHPO
```
Boolean performHPO
```
      Whether to perform hyperparameter optimization (HPO). HPO finds optimal hyperparameter values for your training data. The process of performing HPO is known as running a hyperparameter tuning job.
      
      The default value is false. In this case, Amazon Forecast uses default hyperparameter values from the chosen algorithm.
      
      To override the default values, set PerformHPO to true and, optionally, supply the HyperParameterTuningJobConfig object. The tuning job specifies a metric to optimize, which hyperparameters participate in tuning, and the valid range for each tunable hyperparameter. In this case, you are required to specify an algorithm and PerformAutoML must be false.
      
      The following algorithm supports HPO:
      
      DeepAR+
    - trainingParameters
```
Map<K,V> trainingParameters
```
      The hyperparameters to override for model training. The hyperparameters that you can override are listed in the individual algorithms. For the list of supported algorithms, see aws-forecast-choosing-recipes.
    - evaluationParameters
```
EvaluationParameters evaluationParameters
```
      Used to override the default evaluation parameters of the specified algorithm. Amazon Forecast evaluates a predictor by splitting a dataset into training data and testing data. The evaluation parameters define how to perform the split and the number of iterations.
    - hPOConfig
```
HyperParameterTuningJobConfig hPOConfig
```
      Provides hyperparameter override values for the algorithm. If you don't provide this parameter, Amazon Forecast uses default values. The individual algorithms specify which hyperparameters support hyperparameter optimization (HPO). For more information, see aws-forecast-choosing-recipes.
      
      If you included the HPOConfig object, you must set PerformHPO to true.
    - inputDataConfig
```
InputDataConfig inputDataConfig
```
      Describes the dataset group that contains the data to use to train the predictor.
    - featurizationConfig
```
FeaturizationConfig featurizationConfig
```
      The featurization configuration.
    - encryptionConfig
```
EncryptionConfig encryptionConfig
```
      An AWS Key Management Service (KMS) key and the AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.
- Class com.amazonaws.services.forecast.model.CreatePredictorResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - predictorArn
```
String predictorArn
```
      The Amazon Resource Name (ARN) of the predictor.
- Class com.amazonaws.services.forecast.model.DataDestination extends Object implements Serializable
  - Serialized Fields
    - s3Config
```
S3Config s3Config
```
      The path to an Amazon Simple Storage Service (Amazon S3) bucket along with the credentials to access the bucket.
- Class com.amazonaws.services.forecast.model.DatasetGroupSummary extends Object implements Serializable
  - Serialized Fields
    - datasetGroupArn
```
String datasetGroupArn
```
      The Amazon Resource Name (ARN) of the dataset group.
    - datasetGroupName
```
String datasetGroupName
```
      The name of the dataset group.
    - creationTime
```
Date creationTime
```
      When the dataset group was created.
    - lastModificationTime
```
Date lastModificationTime
```
      When the dataset group was created or last updated from a call to the UpdateDatasetGroup operation. While the dataset group is being updated, LastModificationTime is the current time of the ListDatasetGroups call.
- Class com.amazonaws.services.forecast.model.DatasetImportJobSummary extends Object implements Serializable
  - Serialized Fields
    - datasetImportJobArn
```
String datasetImportJobArn
```
      The Amazon Resource Name (ARN) of the dataset import job.
    - datasetImportJobName
```
String datasetImportJobName
```
      The name of the dataset import job.
    - dataSource
```
DataSource dataSource
```
      The location of the training data to import and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data. The training data must be stored in an Amazon S3 bucket.
      
      If encryption is used, DataSource includes an AWS Key Management Service (KMS) key.
    - status
```
String status
```
      The status of the dataset import job. The status is reflected in the status of the dataset. For example, when the import job status is CREATE_IN_PROGRESS, the status of the dataset is UPDATE_IN_PROGRESS. States include:
      
      ACTIVE
      
      CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
      
      DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
    - message
```
String message
```
      If an error occurred, an informational message about the error.
    - creationTime
```
Date creationTime
```
      When the dataset import job was created.
    - lastModificationTime
```
Date lastModificationTime
```
      The last time that the dataset was modified. The time depends on the status of the job, as follows:
      
      CREATE_PENDING - The same time as CreationTime.
      
      CREATE_IN_PROGRESS - The current timestamp.
      
      ACTIVE or CREATE_FAILED - When the job finished or failed.
- Class com.amazonaws.services.forecast.model.DatasetSummary extends Object implements Serializable
  - Serialized Fields
    - datasetArn
```
String datasetArn
```
      The Amazon Resource Name (ARN) of the dataset.
    - datasetName
```
String datasetName
```
      The name of the dataset.
    - datasetType
```
String datasetType
```
      The dataset type.
    - domain
```
String domain
```
      The domain associated with the dataset.
    - creationTime
```
Date creationTime
```
      When the dataset was created.
    - lastModificationTime
```
Date lastModificationTime
```
      When you create a dataset, LastModificationTime is the same as CreationTime. While data is being imported to the dataset, LastModificationTime is the current time of the ListDatasets call. After a CreateDatasetImportJob operation has finished, LastModificationTime is when the import job completed or failed.
- Class com.amazonaws.services.forecast.model.DataSource extends Object implements Serializable
  - Serialized Fields
    - s3Config
```
S3Config s3Config
```
      The path to the training data stored in an Amazon Simple Storage Service (Amazon S3) bucket along with the credentials to access the data.
- Class com.amazonaws.services.forecast.model.DeleteDatasetGroupRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - datasetGroupArn
```
String datasetGroupArn
```
      The Amazon Resource Name (ARN) of the dataset group to delete.
- Class com.amazonaws.services.forecast.model.DeleteDatasetGroupResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.forecast.model.DeleteDatasetImportJobRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - datasetImportJobArn
```
String datasetImportJobArn
```
      The Amazon Resource Name (ARN) of the dataset import job to delete.
- Class com.amazonaws.services.forecast.model.DeleteDatasetImportJobResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.forecast.model.DeleteDatasetRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - datasetArn
```
String datasetArn
```
      The Amazon Resource Name (ARN) of the dataset to delete.
- Class com.amazonaws.services.forecast.model.DeleteDatasetResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.forecast.model.DeleteForecastExportJobRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - forecastExportJobArn
```
String forecastExportJobArn
```
      The Amazon Resource Name (ARN) of the forecast export job to delete.
- Class com.amazonaws.services.forecast.model.DeleteForecastExportJobResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.forecast.model.DeleteForecastRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - forecastArn
```
String forecastArn
```
      The Amazon Resource Name (ARN) of the forecast to delete.
- Class com.amazonaws.services.forecast.model.DeleteForecastResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.forecast.model.DeletePredictorRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - predictorArn
```
String predictorArn
```
      The Amazon Resource Name (ARN) of the predictor to delete.
- Class com.amazonaws.services.forecast.model.DeletePredictorResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.forecast.model.DescribeDatasetGroupRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - datasetGroupArn
```
String datasetGroupArn
```
      The Amazon Resource Name (ARN) of the dataset group.
- Class com.amazonaws.services.forecast.model.DescribeDatasetGroupResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - datasetGroupName
```
String datasetGroupName
```
      The name of the dataset group.
    - datasetGroupArn
```
String datasetGroupArn
```
      The ARN of the dataset group.
    - datasetArns
```
List<E> datasetArns
```
      An array of Amazon Resource Names (ARNs) of the datasets contained in the dataset group.
    - domain
```
String domain
```
      The domain associated with the dataset group.
    - status
```
String status
```
      The status of the dataset group. States include:
      
      ACTIVE
      
      CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
      
      DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
      
      UPDATE_PENDING, UPDATE_IN_PROGRESS, UPDATE_FAILED
      
      The UPDATE states apply when you call the UpdateDatasetGroup operation.
      
      The Status of the dataset group must be ACTIVE before you can use the dataset group to create a predictor.
    - creationTime
```
Date creationTime
```
      When the dataset group was created.
    - lastModificationTime
```
Date lastModificationTime
```
      When the dataset group was created or last updated from a call to the UpdateDatasetGroup operation. While the dataset group is being updated, LastModificationTime is the current time of the DescribeDatasetGroup call.
- Class com.amazonaws.services.forecast.model.DescribeDatasetImportJobRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - datasetImportJobArn
```
String datasetImportJobArn
```
      The Amazon Resource Name (ARN) of the dataset import job.
- Class com.amazonaws.services.forecast.model.DescribeDatasetImportJobResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - datasetImportJobName
```
String datasetImportJobName
```
      The name of the dataset import job.
    - datasetImportJobArn
```
String datasetImportJobArn
```
      The ARN of the dataset import job.
    - datasetArn
```
String datasetArn
```
      The Amazon Resource Name (ARN) of the dataset that the training data was imported to.
    - timestampFormat
```
String timestampFormat
```
      The format of timestamps in the dataset. The format that you specify depends on the DataFrequency specified when the dataset was created. The following formats are supported
      
      "yyyy-MM-dd"
      
      For the following data frequencies: Y, M, W, and D
      
      "yyyy-MM-dd HH:mm:ss"
      
      For the following data frequencies: H, 30min, 15min, and 1min; and optionally, for: Y, M, W, and D
    - dataSource
```
DataSource dataSource
```
      The location of the training data to import and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data.
      
      If encryption is used, DataSource includes an AWS Key Management Service (KMS) key.
    - fieldStatistics
```
Map<K,V> fieldStatistics
```
      Statistical information about each field in the input data.
    - dataSize
```
Double dataSize
```
      The size of the dataset in gigabytes (GB) after the import job has finished.
    - status
```
String status
```
      The status of the dataset import job. The status is reflected in the status of the dataset. For example, when the import job status is CREATE_IN_PROGRESS, the status of the dataset is UPDATE_IN_PROGRESS. States include:
      
      ACTIVE
      
      CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
      
      DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
    - message
```
String message
```
      If an error occurred, an informational message about the error.
    - creationTime
```
Date creationTime
```
      When the dataset import job was created.
    - lastModificationTime
```
Date lastModificationTime
```
      The last time that the dataset was modified. The time depends on the status of the job, as follows:
      
      CREATE_PENDING - The same time as CreationTime.
      
      CREATE_IN_PROGRESS - The current timestamp.
      
      ACTIVE or CREATE_FAILED - When the job finished or failed.
- Class com.amazonaws.services.forecast.model.DescribeDatasetRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - datasetArn
```
String datasetArn
```
      The Amazon Resource Name (ARN) of the dataset.
- Class com.amazonaws.services.forecast.model.DescribeDatasetResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - datasetArn
```
String datasetArn
```
      The Amazon Resource Name (ARN) of the dataset.
    - datasetName
```
String datasetName
```
      The name of the dataset.
    - domain
```
String domain
```
      The domain associated with the dataset.
    - datasetType
```
String datasetType
```
      The dataset type.
    - dataFrequency
```
String dataFrequency
```
      The frequency of data collection.
      
      Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and 1min (1 minute). For example, "M" indicates every month and "30min" indicates every 30 minutes.
    - schema
```
Schema schema
```
      An array of SchemaAttribute objects that specify the dataset fields. Each SchemaAttribute specifies the name and data type of a field.
    - encryptionConfig
```
EncryptionConfig encryptionConfig
```
      The AWS Key Management Service (KMS) key and the AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.
    - status
```
String status
```
      The status of the dataset. States include:
      
      ACTIVE
      
      CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
      
      DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
      
      UPDATE_PENDING, UPDATE_IN_PROGRESS, UPDATE_FAILED
      
      The UPDATE states apply while data is imported to the dataset from a call to the CreateDatasetImportJob operation and reflect the status of the dataset import job. For example, when the import job status is CREATE_IN_PROGRESS, the status of the dataset is UPDATE_IN_PROGRESS.
      
      The Status of the dataset must be ACTIVE before you can import training data.
    - creationTime
```
Date creationTime
```
      When the dataset was created.
    - lastModificationTime
```
Date lastModificationTime
```
      When you create a dataset, LastModificationTime is the same as CreationTime. While data is being imported to the dataset, LastModificationTime is the current time of the DescribeDataset call. After a CreateDatasetImportJob operation has finished, LastModificationTime is when the import job completed or failed.
- Class com.amazonaws.services.forecast.model.DescribeForecastExportJobRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - forecastExportJobArn
```
String forecastExportJobArn
```
      The Amazon Resource Name (ARN) of the forecast export job.
- Class com.amazonaws.services.forecast.model.DescribeForecastExportJobResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - forecastExportJobArn
```
String forecastExportJobArn
```
      The ARN of the forecast export job.
    - forecastExportJobName
```
String forecastExportJobName
```
      The name of the forecast export job.
    - forecastArn
```
String forecastArn
```
      The Amazon Resource Name (ARN) of the exported forecast.
    - destination
```
DataDestination destination
```
      The path to the Amazon Simple Storage Service (Amazon S3) bucket where the forecast is exported.
    - message
```
String message
```
      If an error occurred, an informational message about the error.
    - status
```
String status
```
      The status of the forecast export job. States include:
      
      ACTIVE
      
      CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
      
      DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
      
      The Status of the forecast export job must be ACTIVE before you can access the forecast in your S3 bucket.
    - creationTime
```
Date creationTime
```
      When the forecast export job was created.
    - lastModificationTime
```
Date lastModificationTime
```
      When the last successful export job finished.
- Class com.amazonaws.services.forecast.model.DescribeForecastRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - forecastArn
```
String forecastArn
```
      The Amazon Resource Name (ARN) of the forecast.
- Class com.amazonaws.services.forecast.model.DescribeForecastResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - forecastArn
```
String forecastArn
```
      The forecast ARN as specified in the request.
    - forecastName
```
String forecastName
```
      The name of the forecast.
    - forecastTypes
```
List<E> forecastTypes
```
      The quantiles at which proababilistic forecasts were generated.
    - predictorArn
```
String predictorArn
```
      The ARN of the predictor used to generate the forecast.
    - datasetGroupArn
```
String datasetGroupArn
```
      The ARN of the dataset group that provided the data used to train the predictor.
    - status
```
String status
```
      The status of the forecast. States include:
      
      ACTIVE
      
      CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
      
      DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
      
      The Status of the forecast must be ACTIVE before you can query or export the forecast.
    - message
```
String message
```
      If an error occurred, an informational message about the error.
    - creationTime
```
Date creationTime
```
      When the forecast creation task was created.
    - lastModificationTime
```
Date lastModificationTime
```
      Initially, the same as CreationTime (status is CREATE_PENDING). Updated when inference (creating the forecast) starts (status changed to CREATE_IN_PROGRESS), and when inference is complete (status changed to ACTIVE) or fails (status changed to CREATE_FAILED).
- Class com.amazonaws.services.forecast.model.DescribePredictorRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - predictorArn
```
String predictorArn
```
      The Amazon Resource Name (ARN) of the predictor that you want information about.
- Class com.amazonaws.services.forecast.model.DescribePredictorResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - predictorArn
```
String predictorArn
```
      The ARN of the predictor.
    - predictorName
```
String predictorName
```
      The name of the predictor.
    - algorithmArn
```
String algorithmArn
```
      The Amazon Resource Name (ARN) of the algorithm used for model training.
    - forecastHorizon
```
Integer forecastHorizon
```
      The number of time-steps of the forecast. The forecast horizon is also called the prediction length.
    - performAutoML
```
Boolean performAutoML
```
      Whether the predictor is set to perform AutoML.
    - performHPO
```
Boolean performHPO
```
      Whether the predictor is set to perform hyperparameter optimization (HPO).
    - trainingParameters
```
Map<K,V> trainingParameters
```
      The default training parameters or overrides selected during model training. If using the AutoML algorithm or if HPO is turned on while using the DeepAR+ algorithms, the optimized values for the chosen hyperparameters are returned. For more information, see aws-forecast-choosing-recipes.
    - evaluationParameters
```
EvaluationParameters evaluationParameters
```
      Used to override the default evaluation parameters of the specified algorithm. Amazon Forecast evaluates a predictor by splitting a dataset into training data and testing data. The evaluation parameters define how to perform the split and the number of iterations.
    - hPOConfig
```
HyperParameterTuningJobConfig hPOConfig
```
      The hyperparameter override values for the algorithm.
    - inputDataConfig
```
InputDataConfig inputDataConfig
```
      Describes the dataset group that contains the data to use to train the predictor.
    - featurizationConfig
```
FeaturizationConfig featurizationConfig
```
      The featurization configuration.
    - encryptionConfig
```
EncryptionConfig encryptionConfig
```
      An AWS Key Management Service (KMS) key and the AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.
    - predictorExecutionDetails
```
PredictorExecutionDetails predictorExecutionDetails
```
      Details on the the status and results of the backtests performed to evaluate the accuracy of the predictor. You specify the number of backtests to perform when you call the operation.
    - datasetImportJobArns
```
List<E> datasetImportJobArns
```
      An array of the ARNs of the dataset import jobs used to import training data for the predictor.
    - autoMLAlgorithmArns
```
List<E> autoMLAlgorithmArns
```
      When PerformAutoML is specified, the ARN of the chosen algorithm.
    - status
```
String status
```
      The status of the predictor. States include:
      
      ACTIVE
      
      CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
      
      DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
      
      UPDATE_PENDING, UPDATE_IN_PROGRESS, UPDATE_FAILED
      
      The Status of the predictor must be ACTIVE before you can use the predictor to create a forecast.
    - message
```
String message
```
      If an error occurred, an informational message about the error.
    - creationTime
```
Date creationTime
```
      When the model training task was created.
    - lastModificationTime
```
Date lastModificationTime
```
      Initially, the same as CreationTime (when the status is CREATE_PENDING). This value is updated when training starts (when the status changes to CREATE_IN_PROGRESS), and when training has completed (when the status changes to ACTIVE) or fails (when the status changes to CREATE_FAILED).
- Class com.amazonaws.services.forecast.model.EncryptionConfig extends Object implements Serializable
  - Serialized Fields
    - roleArn
```
String roleArn
```
      The ARN of the IAM role that Amazon Forecast can assume to access the AWS KMS key.
      
      Passing a role across AWS accounts is not allowed. If you pass a role that isn't in your account, you get an InvalidInputException error.
    - kMSKeyArn
```
String kMSKeyArn
```
      The Amazon Resource Name (ARN) of the KMS key.
- Class com.amazonaws.services.forecast.model.EvaluationParameters extends Object implements Serializable
  - Serialized Fields
    - numberOfBacktestWindows
```
Integer numberOfBacktestWindows
```
      The number of times to split the input data. The default is 1. Valid values are 1 through 5.
    - backTestWindowOffset
```
Integer backTestWindowOffset
```
      The point from the end of the dataset where you want to split the data for model training and testing (evaluation). Specify the value as the number of data points. The default is the value of the forecast horizon. BackTestWindowOffset can be used to mimic a past virtual forecast start date. This value must be greater than or equal to the forecast horizon and less than half of the TARGET_TIME_SERIES dataset length.
      
      ForecastHorizon <= BackTestWindowOffset < 1/2 * TARGET_TIME_SERIES dataset length
- Class com.amazonaws.services.forecast.model.EvaluationResult extends Object implements Serializable
  - Serialized Fields
    - algorithmArn
```
String algorithmArn
```
      The Amazon Resource Name (ARN) of the algorithm that was evaluated.
    - testWindows
```
List<E> testWindows
```
      The array of test windows used for evaluating the algorithm. The NumberOfBacktestWindows from the EvaluationParameters object determines the number of windows in the array.
- Class com.amazonaws.services.forecast.model.Featurization extends Object implements Serializable
  - Serialized Fields
    - attributeName
```
String attributeName
```
      The name of the schema attribute that specifies the data field to be featurized. Only the target field of the TARGET_TIME_SERIES dataset type is supported. For example, for the RETAIL domain, the target is demand, and for the CUSTOM domain, the target is target_value.
    - featurizationPipeline
```
List<E> featurizationPipeline
```
      An array of one FeaturizationMethod object that specifies the feature transformation method.
- Class com.amazonaws.services.forecast.model.FeaturizationConfig extends Object implements Serializable
  - Serialized Fields
    - forecastFrequency
```
String forecastFrequency
```
      The frequency of predictions in a forecast.
      
      Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and 1min (1 minute). For example, "Y" indicates every year and "5min" indicates every five minutes.
      
      The frequency must be greater than or equal to the TARGET_TIME_SERIES dataset frequency.
      
      When a RELATED_TIME_SERIES dataset is provided, the frequency must be equal to the RELATED_TIME_SERIES dataset frequency.
    - forecastDimensions
```
List<E> forecastDimensions
```
      An array of dimension (field) names that specify how to group the generated forecast.
      
      For example, suppose that you are generating a forecast for item sales across all of your stores, and your dataset contains a store_id field. If you want the sales forecast for each item by store, you would specify store_id as the dimension.
      
      All forecast dimensions specified in the TARGET_TIME_SERIES dataset don't need to be specified in the CreatePredictor request. All forecast dimensions specified in the RELATED_TIME_SERIES dataset must be specified in the CreatePredictor request.
    - featurizations
```
List<E> featurizations
```
      An array of featurization (transformation) information for the fields of a dataset. Only a single featurization is supported.
- Class com.amazonaws.services.forecast.model.FeaturizationMethod extends Object implements Serializable
  - Serialized Fields
    - featurizationMethodName
```
String featurizationMethodName
```
      The name of the method. The "filling" method is the only supported method.
    - featurizationMethodParameters
```
Map<K,V> featurizationMethodParameters
```
      The method parameters (key-value pairs). Specify these parameters to override the default values. The following list shows the parameters and their valid values. Bold signifies the default value.
      
      aggregation: sum, avg, first, min, max
      
      frontfill: none
      
      middlefill: zero, nan (not a number)
      
      backfill: zero, nan
- Class com.amazonaws.services.forecast.model.Filter extends Object implements Serializable
  - Serialized Fields
    - key
```
String key
```
      The name of the parameter to filter on.
    - value
```
String value
```
      The value to match.
    - condition
```
String condition
```
      The condition to apply. To include the objects that match the statement, specify IS. To exclude matching objects, specify IS_NOT.
- Class com.amazonaws.services.forecast.model.ForecastExportJobSummary extends Object implements Serializable
  - Serialized Fields
    - forecastExportJobArn
```
String forecastExportJobArn
```
      The Amazon Resource Name (ARN) of the forecast export job.
    - forecastExportJobName
```
String forecastExportJobName
```
      The name of the forecast export job.
    - destination
```
DataDestination destination
```
      The path to the Amazon Simple Storage Service (Amazon S3) bucket where the forecast is exported.
    - status
```
String status
```
      The status of the forecast export job. States include:
      
      ACTIVE
      
      CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
      
      DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
      
      The Status of the forecast export job must be ACTIVE before you can access the forecast in your S3 bucket.
    - message
```
String message
```
      If an error occurred, an informational message about the error.
    - creationTime
```
Date creationTime
```
      When the forecast export job was created.
    - lastModificationTime
```
Date lastModificationTime
```
      When the last successful export job finished.
- Class com.amazonaws.services.forecast.model.ForecastSummary extends Object implements Serializable
  - Serialized Fields
    - forecastArn
```
String forecastArn
```
      The ARN of the forecast.
    - forecastName
```
String forecastName
```
      The name of the forecast.
    - predictorArn
```
String predictorArn
```
      The ARN of the predictor used to generate the forecast.
    - datasetGroupArn
```
String datasetGroupArn
```
      The Amazon Resource Name (ARN) of the dataset group that provided the data used to train the predictor.
    - status
```
String status
```
      The status of the forecast. States include:
      
      ACTIVE
      
      CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
      
      DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
      
      The Status of the forecast must be ACTIVE before you can query or export the forecast.
    - message
```
String message
```
      If an error occurred, an informational message about the error.
    - creationTime
```
Date creationTime
```
      When the forecast creation task was created.
    - lastModificationTime
```
Date lastModificationTime
```
      Initially, the same as CreationTime (status is CREATE_PENDING). Updated when inference (creating the forecast) starts (status changed to CREATE_IN_PROGRESS), and when inference is complete (status changed to ACTIVE) or fails (status changed to CREATE_FAILED).
- Class com.amazonaws.services.forecast.model.GetAccuracyMetricsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - predictorArn
```
String predictorArn
```
      The Amazon Resource Name (ARN) of the predictor to get metrics for.
- Class com.amazonaws.services.forecast.model.GetAccuracyMetricsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - predictorEvaluationResults
```
List<E> predictorEvaluationResults
```
      An array of results from evaluating the predictor.
- Class com.amazonaws.services.forecast.model.HyperParameterTuningJobConfig extends Object implements Serializable
  - Serialized Fields
    - parameterRanges
```
ParameterRanges parameterRanges
```
      Specifies the ranges of valid values for the hyperparameters.
- Class com.amazonaws.services.forecast.model.InputDataConfig extends Object implements Serializable
  - Serialized Fields
    - datasetGroupArn
```
String datasetGroupArn
```
      The Amazon Resource Name (ARN) of the dataset group.
    - supplementaryFeatures
```
List<E> supplementaryFeatures
```
      An array of supplementary features. The only supported feature is a holiday calendar.
- Class com.amazonaws.services.forecast.model.IntegerParameterRange extends Object implements Serializable
  - Serialized Fields
    - name
```
String name
```
      The name of the hyperparameter to tune.
    - maxValue
```
Integer maxValue
```
      The maximum tunable value of the hyperparameter.
    - minValue
```
Integer minValue
```
      The minimum tunable value of the hyperparameter.
    - scalingType
```
String scalingType
```
      The scale that hyperparameter tuning uses to search the hyperparameter range. Valid values:
      
      Auto
      
      Amazon Forecast hyperparameter tuning chooses the best scale for the hyperparameter.
      
      Linear
      
      Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
      
      Logarithmic
      
      Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
      
      Logarithmic scaling works only for ranges that have values greater than 0.
      
      ReverseLogarithmic
      
      Not supported for IntegerParameterRange.
      
      Reverse logarithmic scaling works only for ranges that are entirely within the range 0 <= x < 1.0.
      
      For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:
- Class com.amazonaws.services.forecast.model.InvalidInputException extends AmazonForecastException implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.amazonaws.services.forecast.model.InvalidNextTokenException extends AmazonForecastException implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.amazonaws.services.forecast.model.LimitExceededException extends AmazonForecastException implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.amazonaws.services.forecast.model.ListDatasetGroupsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.
    - maxResults
```
Integer maxResults
```
      The number of items to return in the response.
- Class com.amazonaws.services.forecast.model.ListDatasetGroupsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - datasetGroups
```
List<E> datasetGroups
```
      An array of objects that summarize each dataset group's properties.
    - nextToken
```
String nextToken
```
      If the response is truncated, Amazon Forecast returns this token. To retrieve the next set of results, use the token in the next request.
- Class com.amazonaws.services.forecast.model.ListDatasetImportJobsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.
    - maxResults
```
Integer maxResults
```
      The number of items to return in the response.
    - filters
```
List<E> filters
```
      An array of filters. For each filter, you provide a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the datasets that match the statement from the list, respectively. The match statement consists of a key and a value.
      
      Filter properties
      
      Condition - The condition to apply. Valid values are IS and IS_NOT. To include the datasets that match the statement, specify IS. To exclude matching datasets, specify IS_NOT.
      
      Key - The name of the parameter to filter on. Valid values are DatasetArn and Status.
      
      Value - The value to match.
      
      For example, to list all dataset import jobs whose status is ACTIVE, you specify the following filter:
      
      "Filters": [ { "Condition": "IS", "Key": "Status", "Value": "ACTIVE" } ]
- Class com.amazonaws.services.forecast.model.ListDatasetImportJobsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - datasetImportJobs
```
List<E> datasetImportJobs
```
      An array of objects that summarize each dataset import job's properties.
    - nextToken
```
String nextToken
```
      If the response is truncated, Amazon Forecast returns this token. To retrieve the next set of results, use the token in the next request.
- Class com.amazonaws.services.forecast.model.ListDatasetsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.
    - maxResults
```
Integer maxResults
```
      The number of items to return in the response.
- Class com.amazonaws.services.forecast.model.ListDatasetsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - datasets
```
List<E> datasets
```
      An array of objects that summarize each dataset's properties.
    - nextToken
```
String nextToken
```
      If the response is truncated, Amazon Forecast returns this token. To retrieve the next set of results, use the token in the next request.
- Class com.amazonaws.services.forecast.model.ListForecastExportJobsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.
    - maxResults
```
Integer maxResults
```
      The number of items to return in the response.
    - filters
```
List<E> filters
```
      An array of filters. For each filter, you provide a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the forecast export jobs that match the statement from the list, respectively. The match statement consists of a key and a value.
      
      Filter properties
      
      Condition - The condition to apply. Valid values are IS and IS_NOT. To include the forecast export jobs that match the statement, specify IS. To exclude matching forecast export jobs, specify IS_NOT.
      
      Key - The name of the parameter to filter on. Valid values are ForecastArn and Status.
      
      Value - The value to match.
      
      For example, to list all jobs that export a forecast named electricityforecast, specify the following filter:
      
      "Filters": [ { "Condition": "IS", "Key": "ForecastArn", "Value": "arn:aws:forecast:us-west-2:<acct-id>:forecast/electricityforecast" } ]
- Class com.amazonaws.services.forecast.model.ListForecastExportJobsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - forecastExportJobs
```
List<E> forecastExportJobs
```
      An array of objects that summarize each export job's properties.
    - nextToken
```
String nextToken
```
      If the response is truncated, Amazon Forecast returns this token. To retrieve the next set of results, use the token in the next request.
- Class com.amazonaws.services.forecast.model.ListForecastsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.
    - maxResults
```
Integer maxResults
```
      The number of items to return in the response.
    - filters
```
List<E> filters
```
      An array of filters. For each filter, you provide a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the forecasts that match the statement from the list, respectively. The match statement consists of a key and a value.
      
      Filter properties
      
      Condition - The condition to apply. Valid values are IS and IS_NOT. To include the forecasts that match the statement, specify IS. To exclude matching forecasts, specify IS_NOT.
      
      Key - The name of the parameter to filter on. Valid values are DatasetGroupArn, PredictorArn, and Status.
      
      Value - The value to match.
      
      For example, to list all forecasts whose status is not ACTIVE, you would specify:
      
      "Filters": [ { "Condition": "IS_NOT", "Key": "Status", "Value": "ACTIVE" } ]
- Class com.amazonaws.services.forecast.model.ListForecastsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - forecasts
```
List<E> forecasts
```
      An array of objects that summarize each forecast's properties.
    - nextToken
```
String nextToken
```
      If the response is truncated, Amazon Forecast returns this token. To retrieve the next set of results, use the token in the next request.
- Class com.amazonaws.services.forecast.model.ListPredictorsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.
    - maxResults
```
Integer maxResults
```
      The number of items to return in the response.
    - filters
```
List<E> filters
```
      An array of filters. For each filter, you provide a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the predictors that match the statement from the list, respectively. The match statement consists of a key and a value.
      
      Filter properties
      
      Condition - The condition to apply. Valid values are IS and IS_NOT. To include the predictors that match the statement, specify IS. To exclude matching predictors, specify IS_NOT.
      
      Key - The name of the parameter to filter on. Valid values are DatasetGroupArn and Status.
      
      Value - The value to match.
      
      For example, to list all predictors whose status is ACTIVE, you would specify:
      
      "Filters": [ { "Condition": "IS", "Key": "Status", "Value": "ACTIVE" } ]
- Class com.amazonaws.services.forecast.model.ListPredictorsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - predictors
```
List<E> predictors
```
      An array of objects that summarize each predictor's properties.
    - nextToken
```
String nextToken
```
      If the response is truncated, Amazon Forecast returns this token. To retrieve the next set of results, use the token in the next request.
- Class com.amazonaws.services.forecast.model.Metrics extends Object implements Serializable
  - Serialized Fields
    - rMSE
```
Double rMSE
```
      The root mean square error (RMSE).
    - weightedQuantileLosses
```
List<E> weightedQuantileLosses
```
      An array of weighted quantile losses. Quantiles divide a probability distribution into regions of equal probability. The distribution in this case is the loss function.
- Class com.amazonaws.services.forecast.model.ParameterRanges extends Object implements Serializable
  - Serialized Fields
    - categoricalParameterRanges
```
List<E> categoricalParameterRanges
```
      Specifies the tunable range for each categorical hyperparameter.
    - continuousParameterRanges
```
List<E> continuousParameterRanges
```
      Specifies the tunable range for each continuous hyperparameter.
    - integerParameterRanges
```
List<E> integerParameterRanges
```
      Specifies the tunable range for each integer hyperparameter.
- Class com.amazonaws.services.forecast.model.PredictorExecution extends Object implements Serializable
  - Serialized Fields
    - algorithmArn
```
String algorithmArn
```
      The ARN of the algorithm used to test the predictor.
    - testWindows
```
List<E> testWindows
```
      An array of test windows used to evaluate the algorithm. The NumberOfBacktestWindows from the object determines the number of windows in the array.
- Class com.amazonaws.services.forecast.model.PredictorExecutionDetails extends Object implements Serializable
  - Serialized Fields
    - predictorExecutions
```
List<E> predictorExecutions
```
      An array of the backtests performed to evaluate the accuracy of the predictor against a particular algorithm. The NumberOfBacktestWindows from the object determines the number of windows in the array.
- Class com.amazonaws.services.forecast.model.PredictorSummary extends Object implements Serializable
  - Serialized Fields
    - predictorArn
```
String predictorArn
```
      The ARN of the predictor.
    - predictorName
```
String predictorName
```
      The name of the predictor.
    - datasetGroupArn
```
String datasetGroupArn
```
      The Amazon Resource Name (ARN) of the dataset group that contains the data used to train the predictor.
    - status
```
String status
```
      The status of the predictor. States include:
      
      ACTIVE
      
      CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
      
      DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
      
      UPDATE_PENDING, UPDATE_IN_PROGRESS, UPDATE_FAILED
      
      The Status of the predictor must be ACTIVE before you can use the predictor to create a forecast.
    - message
```
String message
```
      If an error occurred, an informational message about the error.
    - creationTime
```
Date creationTime
```
      When the model training task was created.
    - lastModificationTime
```
Date lastModificationTime
```
      Initially, the same as CreationTime (status is CREATE_PENDING). Updated when training starts (status changed to CREATE_IN_PROGRESS), and when training is complete (status changed to ACTIVE) or fails (status changed to CREATE_FAILED).
- Class com.amazonaws.services.forecast.model.ResourceAlreadyExistsException extends AmazonForecastException implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.amazonaws.services.forecast.model.ResourceInUseException extends AmazonForecastException implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.amazonaws.services.forecast.model.ResourceNotFoundException extends AmazonForecastException implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.amazonaws.services.forecast.model.S3Config extends Object implements Serializable
  - Serialized Fields
    - path
```
String path
```
      The path to an Amazon Simple Storage Service (Amazon S3) bucket or file(s) in an Amazon S3 bucket.
    - roleArn
```
String roleArn
```
      The ARN of the AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket or files. If you provide a value for the KMSKeyArn key, the role must allow access to the key.
      
      Passing a role across AWS accounts is not allowed. If you pass a role that isn't in your account, you get an InvalidInputException error.
    - kMSKeyArn
```
String kMSKeyArn
```
      The Amazon Resource Name (ARN) of an AWS Key Management Service (KMS) key.
- Class com.amazonaws.services.forecast.model.Schema extends Object implements Serializable
  - Serialized Fields
    - attributes
```
List<E> attributes
```
      An array of attributes specifying the name and type of each field in a dataset.
- Class com.amazonaws.services.forecast.model.SchemaAttribute extends Object implements Serializable
  - Serialized Fields
    - attributeName
```
String attributeName
```
      The name of the dataset field.
    - attributeType
```
String attributeType
```
      The data type of the field.
- Class com.amazonaws.services.forecast.model.Statistics extends Object implements Serializable
  - Serialized Fields
    - count
```
Integer count
```
      The number of values in the field.
    - countDistinct
```
Integer countDistinct
```
      The number of distinct values in the field.
    - countNull
```
Integer countNull
```
      The number of null values in the field.
    - countNan
```
Integer countNan
```
      The number of NAN (not a number) values in the field.
    - min
```
String min
```
      For a numeric field, the minimum value in the field.
    - max
```
String max
```
      For a numeric field, the maximum value in the field.
    - avg
```
Double avg
```
      For a numeric field, the average value in the field.
    - stddev
```
Double stddev
```
      For a numeric field, the standard deviation.
- Class com.amazonaws.services.forecast.model.SupplementaryFeature extends Object implements Serializable
  - Serialized Fields
    - name
```
String name
```
      The name of the feature. This must be "holiday".
    - value
```
String value
```
      One of the following 2 letter country codes:
      
      "AU" - AUSTRALIA
      
      "DE" - GERMANY
      
      "JP" - JAPAN
      
      "US" - UNITED_STATES
      
      "UK" - UNITED_KINGDOM
- Class com.amazonaws.services.forecast.model.TestWindowSummary extends Object implements Serializable
  - Serialized Fields
    - testWindowStart
```
Date testWindowStart
```
      The time at which the test began.
    - testWindowEnd
```
Date testWindowEnd
```
      The time at which the test ended.
    - status
```
String status
```
      The status of the test. Possible status values are:
      
      ACTIVE
      
      CREATE_IN_PROGRESS
      
      CREATE_FAILED
    - message
```
String message
```
      If the test failed, the reason why it failed.
- Class com.amazonaws.services.forecast.model.UpdateDatasetGroupRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - datasetGroupArn
```
String datasetGroupArn
```
      The ARN of the dataset group.
    - datasetArns
```
List<E> datasetArns
```
      An array of the Amazon Resource Names (ARNs) of the datasets to add to the dataset group.
- Class com.amazonaws.services.forecast.model.UpdateDatasetGroupResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.forecast.model.WeightedQuantileLoss extends Object implements Serializable
  - Serialized Fields
    - quantile
```
Double quantile
```
      The quantile. Quantiles divide a probability distribution into regions of equal probability. For example, if the distribution was divided into 5 regions of equal probability, the quantiles would be 0.2, 0.4, 0.6, and 0.8.
    - lossValue
```
Double lossValue
```
      The difference between the predicted value and the actual value over the quantile, weighted (normalized) by dividing by the sum over all quantiles.
- Class com.amazonaws.services.forecast.model.WindowSummary extends Object implements Serializable
  - Serialized Fields
    - testWindowStart
```
Date testWindowStart
```
      The timestamp that defines the start of the window.
    - testWindowEnd
```
Date testWindowEnd
```
      The timestamp that defines the end of the window.
    - itemCount
```
Integer itemCount
```
      The number of data points within the window.
    - evaluationType
```
String evaluationType
```
      The type of evaluation.
      
      SUMMARY - The average metrics across all windows.
      
      COMPUTED - The metrics for the specified window.
    - metrics
```
Metrics metrics
```
      Provides metrics used to evaluate the performance of a predictor.

Serialized Form

Package com.amazonaws.services.forecast.model

Class com.amazonaws.services.forecast.model.AmazonForecastException extends AmazonServiceException implements Serializable

Class com.amazonaws.services.forecast.model.CategoricalParameterRange extends Object implements Serializable

Serialized Fields

name

values

Class com.amazonaws.services.forecast.model.ContinuousParameterRange extends Object implements Serializable

Serialized Fields

name

maxValue

minValue

scalingType

Class com.amazonaws.services.forecast.model.CreateDatasetGroupRequest extends AmazonWebServiceRequest implements Serializable

Serialized Fields

datasetGroupName

domain

datasetArns

Class com.amazonaws.services.forecast.model.CreateDatasetGroupResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable

Serialized Fields

datasetGroupArn

Class com.amazonaws.services.forecast.model.CreateDatasetImportJobRequest extends AmazonWebServiceRequest implements Serializable

Serialized Fields

datasetImportJobName

datasetArn

dataSource

timestampFormat

Class com.amazonaws.services.forecast.model.CreateDatasetImportJobResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable

Serialized Fields

datasetImportJobArn

Class com.amazonaws.services.forecast.model.CreateDatasetRequest extends AmazonWebServiceRequest implements Serializable

Serialized Fields

datasetName

domain

datasetType

dataFrequency

schema

encryptionConfig

Class com.amazonaws.services.forecast.model.CreateDatasetResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable

Serialized Fields

datasetArn

Class com.amazonaws.services.forecast.model.CreateForecastExportJobRequest extends AmazonWebServiceRequest implements Serializable

Serialized Fields

forecastExportJobName

forecastArn

destination

Class com.amazonaws.services.forecast.model.CreateForecastExportJobResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable

Serialized Fields

forecastExportJobArn

Class com.amazonaws.services.forecast.model.CreateForecastRequest extends AmazonWebServiceRequest implements Serializable

Serialized Fields

forecastName

predictorArn

forecastTypes

Class com.amazonaws.services.forecast.model.CreateForecastResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable

Serialized Fields

forecastArn

Class com.amazonaws.services.forecast.model.CreatePredictorRequest extends AmazonWebServiceRequest implements Serializable

Serialized Fields

predictorName

algorithmArn

forecastHorizon

performAutoML

performHPO

trainingParameters

evaluationParameters

hPOConfig

inputDataConfig

featurizationConfig

encryptionConfig

Class com.amazonaws.services.forecast.model.CreatePredictorResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable

Serialized Fields

predictorArn

Class com.amazonaws.services.forecast.model.DataDestination extends Object implements Serializable

Serialized Fields

s3Config

Class com.amazonaws.services.forecast.model.DatasetGroupSummary extends Object implements Serializable

Serialized Fields

datasetGroupArn

datasetGroupName