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{"openapi":"3.0.0","info":{"version":"2018-06-26","x-release":"v4","title":"Amazon Forecast Service","description":"Provides APIs for creating and managing Amazon Forecast resources.","x-logo":{"url":"https://twitter.com/awscloud/profile_image?size=original","backgroundColor":"#FFFFFF"},"termsOfService":"https://aws.amazon.com/service-terms/","contact":{"name":"Mike Ralphson","email":"mike.ralphson@gmail.com","url":"https://github.com/mermade/aws2openapi","x-twitter":"PermittedSoc"},"license":{"name":"Apache 2.0 License","url":"http://www.apache.org/licenses/"},"x-providerName":"amazonaws.com","x-serviceName":"forecast","x-aws-signingName":"forecast","x-origin":[{"contentType":"application/json","url":"https://raw.githubusercontent.com/aws/aws-sdk-js/master/apis/forecast-2018-06-26.normal.json","converter":{"url":"https://github.com/mermade/aws2openapi","version":"1.0.0"},"x-apisguru-driver":"external"}],"x-apiClientRegistration":{"url":"https://portal.aws.amazon.com/gp/aws/developer/registration/index.html?nc2=h_ct"},"x-apisguru-categories":["cloud"],"x-preferred":true},"externalDocs":{"description":"Amazon Web Services documentation","url":"https://docs.aws.amazon.com/forecast/"},"servers":[{"url":"http://forecast.{region}.amazonaws.com","variables":{"region":{"description":"The AWS region","enum":["us-east-1","us-east-2","us-west-1","us-west-2","us-gov-west-1","us-gov-east-1","ca-central-1","eu-north-1","eu-west-1","eu-west-2","eu-west-3","eu-central-1","eu-south-1","af-south-1","ap-northeast-1","ap-northeast-2","ap-northeast-3","ap-southeast-1","ap-southeast-2","ap-east-1","ap-south-1","sa-east-1","me-south-1"],"default":"us-east-1"}},"description":"The Amazon Forecast Service multi-region endpoint"},{"url":"https://forecast.{region}.amazonaws.com","variables":{"region":{"description":"The AWS region","enum":["us-east-1","us-east-2","us-west-1","us-west-2","us-gov-west-1","us-gov-east-1","ca-central-1","eu-north-1","eu-west-1","eu-west-2","eu-west-3","eu-central-1","eu-south-1","af-south-1","ap-northeast-1","ap-northeast-2","ap-northeast-3","ap-southeast-1","ap-southeast-2","ap-east-1","ap-south-1","sa-east-1","me-south-1"],"default":"us-east-1"}},"description":"The Amazon Forecast Service multi-region endpoint"},{"url":"http://forecast.{region}.amazonaws.com.cn","variables":{"region":{"description":"The AWS region","enum":["cn-north-1","cn-northwest-1"],"default":"cn-north-1"}},"description":"The Amazon Forecast Service endpoint for China (Beijing) and China (Ningxia)"},{"url":"https://forecast.{region}.amazonaws.com.cn","variables":{"region":{"description":"The AWS region","enum":["cn-north-1","cn-northwest-1"],"default":"cn-north-1"}},"description":"The Amazon Forecast Service endpoint for China (Beijing) and China (Ningxia)"}],"x-hasEquivalentPaths":true,"paths":{"/#X-Amz-Target=AmazonForecast.CreateAutoPredictor":{"post":{"operationId":"CreateAutoPredictor","description":"<p>Creates an Amazon Forecast predictor.</p> <p>Amazon Forecast creates predictors with AutoPredictor, which involves applying the optimal combination of algorithms to each time series in your datasets. You can use <a>CreateAutoPredictor</a> to create new predictors or upgrade/retrain existing predictors.</p> <p> <b>Creating new predictors</b> </p> <p>The following parameters are required when creating a new predictor:</p> <ul> <li> <p> <code>PredictorName</code> - A unique name for the predictor.</p> </li> <li> <p> <code>DatasetGroupArn</code> - The ARN of the dataset group used to train the predictor.</p> </li> <li> <p> <code>ForecastFrequency</code> - The granularity of your forecasts (hourly, daily, weekly, etc).</p> </li> <li> <p> <code>ForecastHorizon</code> - The number of time-steps that the model predicts. 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The information about the dataset that you provide helps Forecast understand how to consume the data for model training. This includes the following:</p> <ul> <li> <p> <i> <code>DataFrequency</code> </i> - How frequently your historical time-series data is collected.</p> </li> <li> <p> <i> <code>Domain</code> </i> and <i> <code>DatasetType</code> </i> - Each dataset has an associated dataset domain and a type within the domain. Amazon Forecast provides a list of predefined domains and types within each domain. For each unique dataset domain and type within the domain, Amazon Forecast requires your data to include a minimum set of predefined fields.</p> </li> <li> <p> <i> <code>Schema</code> </i> - A schema specifies the fields in the dataset, including the field name and data type.</p> </li> </ul> <p>After creating a dataset, you import your training data into it and add the dataset to a dataset group. You use the dataset group to create a predictor. 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You provide the location of your training data in an Amazon Simple Storage Service (Amazon S3) bucket and the Amazon Resource Name (ARN) of the dataset that you want to import the data to.</p> <p>You must specify a <a href=\"https://docs.aws.amazon.com/forecast/latest/dg/API_DataSource.html\">DataSource</a> object that includes an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data, as Amazon Forecast makes a copy of your data and processes it in an internal Amazon Web Services system. For more information, see <a href=\"https://docs.aws.amazon.com/forecast/latest/dg/aws-forecast-iam-roles.html\">Set up permissions</a>.</p> <p>The training data must be in CSV or Parquet format. The delimiter must be a comma (,).</p> <p>You can specify the path to a specific file, the S3 bucket, or to a folder in the S3 bucket. 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Amazon Forecast uses a metric called Impact scores to quantify the relative impact of each attribute and determine whether they increase or decrease forecast values.</p> <p>To enable Forecast Explainability, your predictor must include at least one of the following: related time series, item metadata, or additional datasets like Holidays and the Weather Index.</p> <p>CreateExplainability accepts either a Predictor ARN or Forecast ARN. To receive aggregated Impact scores for all time series and time points in your datasets, provide a Predictor ARN. To receive Impact scores for specific time series and time points, provide a Forecast ARN.</p> <p> <b>CreateExplainability with a Predictor ARN</b> </p> <note> <p>You can only have one Explainability resource per predictor. If you already enabled <code>ExplainPredictor</code> in <a>CreateAutoPredictor</a>, that predictor already has an Explainability resource.</p> </note> <p>The following parameters are required when providing a Predictor ARN:</p> <ul> <li> <p> <code>ExplainabilityName</code> - A unique name for the Explainability.</p> </li> <li> <p> <code>ResourceArn</code> - The Arn of the predictor.</p> </li> <li> <p> <code>TimePointGranularity</code> - Must be set to “ALL”.</p> </li> <li> <p> <code>TimeSeriesGranularity</code> - Must be set to “ALL”.</p> </li> </ul> <p>Do not specify a value for the following parameters:</p> <ul> <li> <p> <code>DataSource</code> - Only valid when TimeSeriesGranularity is “SPECIFIC”.</p> </li> <li> <p> <code>Schema</code> - Only valid when TimeSeriesGranularity is “SPECIFIC”.</p> </li> <li> <p> <code>StartDateTime</code> - Only valid when TimePointGranularity is “SPECIFIC”.</p> </li> <li> <p> <code>EndDateTime</code> - Only valid when TimePointGranularity is “SPECIFIC”.</p> </li> </ul> <p> <b>CreateExplainability with a Forecast ARN</b> </p> <note> <p>You can specify a maximum of 50 time series and 500 time points.</p> </note> <p>The following parameters are required when providing a Predictor ARN:</p> <ul> <li> <p> <code>ExplainabilityName</code> - A unique name for the Explainability.</p> </li> <li> <p> <code>ResourceArn</code> - The Arn of the forecast.</p> </li> <li> <p> <code>TimePointGranularity</code> - Either “ALL” or “SPECIFIC”.</p> </li> <li> <p> <code>TimeSeriesGranularity</code> - Either “ALL” or “SPECIFIC”.</p> </li> </ul> <p>If you set TimeSeriesGranularity to “SPECIFIC”, you must also provide the following:</p> <ul> <li> <p> <code>DataSource</code> - The S3 location of the CSV file specifying your time series.</p> </li> <li> <p> <code>Schema</code> - The Schema defines the attributes and attribute types listed in the Data Source.</p> </li> </ul> <p>If you set TimePointGranularity to “SPECIFIC”, you must also provide the following:</p> <ul> <li> <p> <code>StartDateTime</code> - The first timestamp in the range of time points.</p> </li> <li> <p> <code>EndDateTime</code> - The last timestamp in the range of time points.</p> </li> </ul>","responses":{"200":{"description":"Success","content":{"application/json":{"schema":{"$ref":"#/components/schemas/CreateExplainabilityResponse"}}}},"480":{"description":"InvalidInputException","content":{"application/json":{"schema":{"$ref":"#/components/schemas/InvalidInputException"}}}},"481":{"description":"ResourceAlreadyExistsException","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResourceAlreadyExistsException"}}}},"482":{"description":"ResourceNotFoundException","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResourceNotFoundException"}}}},"483":{"description":"ResourceInUseException","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResourceInUseException"}}}},"484":{"description":"LimitExceededException","content":{"application/json":{"schema":{"$ref":"#/components/schemas/LimitExceededException"}}}}},"requestBody":{"required":true,"content":{"application/json":{"schema":{"$ref":"#/components/schemas/CreateExplainabilityRequest"}}}},"parameters":[{"name":"X-Amz-Target","in":"header","required":true,"schema":{"type":"string","enum":["AmazonForecast.CreateExplainability"]}}]},"parameters":[{"$ref":"#/components/parameters/X-Amz-Content-Sha256"},{"$ref":"#/components/parameters/X-Amz-Date"},{"$ref":"#/components/parameters/X-Amz-Algorithm"},{"$ref":"#/components/parameters/X-Amz-Credential"},{"$ref":"#/components/parameters/X-Amz-Security-Token"},{"$ref":"#/components/parameters/X-Amz-Signature"},{"$ref":"#/components/parameters/X-Amz-SignedHeaders"}]},"/#X-Amz-Target=AmazonForecast.CreateExplainabilityExport":{"post":{"operationId":"CreateExplainabilityExport","description":"<p>Exports an Explainability resource created by the <a>CreateExplainability</a> operation. 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This is known as inference. To retrieve the forecast for a single item at low latency, use the operation. To export the complete forecast into your Amazon Simple Storage Service (Amazon S3) bucket, use the <a>CreateForecastExportJob</a> operation.</p> <p>The range of the forecast is determined by the <code>ForecastHorizon</code> value, which you specify in the <a>CreatePredictor</a> request. When you query a forecast, you can request a specific date range within the forecast.</p> <p>To get a list of all your forecasts, use the <a>ListForecasts</a> operation.</p> <note> <p>The forecasts generated by Amazon Forecast are in the same time zone as the dataset that was used to create the predictor.</p> </note> <p>For more information, see <a>howitworks-forecast</a>.</p> <note> <p>The <code>Status</code> of the forecast must be <code>ACTIVE</code> before you can query or export the forecast. Use the <a>DescribeForecast</a> operation to get the status.</p> </note> <p>By default, a forecast includes predictions for every item (<code>item_id</code>) in the dataset group that was used to train the predictor. However, you can use the <code>TimeSeriesSelector</code> object to generate a forecast on a subset of time series. Forecast creation is skipped for any time series that you specify that are not in the input dataset. 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The forecast file name will match the following conventions:</p> <p><ForecastExportJobName>_<ExportTimestamp>_<PartNumber></p> <p>where the <ExportTimestamp> component is in Java SimpleDateFormat (yyyy-MM-ddTHH-mm-ssZ).</p> <p>You must specify a <a>DataDestination</a> object that includes an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket. For more information, see <a>aws-forecast-iam-roles</a>.</p> <p>For more information, see <a>howitworks-forecast</a>.</p> <p>To get a list of all your forecast export jobs, use the <a>ListForecastExportJobs</a> operation.</p> <note> <p>The <code>Status</code> of the forecast export job must be <code>ACTIVE</code> before you can access the forecast in your Amazon S3 bucket. 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