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Create Batch Prediction

machinelearning_create_batch_prediction R Documentation

Generates predictions for a group of observations

Description

Generates predictions for a group of observations. The observations to process exist in one or more data files referenced by a DataSource. This operation creates a new BatchPrediction, and uses an MLModel and the data files referenced by the DataSource as information sources.

create_batch_prediction is an asynchronous operation. In response to create_batch_prediction, Amazon Machine Learning (Amazon ML) immediately returns and sets the BatchPrediction status to PENDING. After the BatchPrediction completes, Amazon ML sets the status to COMPLETED.

You can poll for status updates by using the get_batch_prediction operation and checking the Status parameter of the result. After the COMPLETED status appears, the results are available in the location specified by the OutputUri parameter.

Usage

machinelearning_create_batch_prediction(BatchPredictionId,
  BatchPredictionName, MLModelId, BatchPredictionDataSourceId, OutputUri)

Arguments

BatchPredictionId

[required] A user-supplied ID that uniquely identifies the BatchPrediction.

BatchPredictionName

A user-supplied name or description of the BatchPrediction. BatchPredictionName can only use the UTF-8 character set.

MLModelId

[required] The ID of the MLModel that will generate predictions for the group of observations.

BatchPredictionDataSourceId

[required] The ID of the DataSource that points to the group of observations to predict.

OutputUri

[required] The location of an Amazon Simple Storage Service (Amazon S3) bucket or directory to store the batch prediction results. The following substrings are not allowed in the ⁠s3 key⁠ portion of the outputURI field: ':', '//', '/./', '/../'.

Amazon ML needs permissions to store and retrieve the logs on your behalf. For information about how to set permissions, see the Amazon Machine Learning Developer Guide.

Value

A list with the following syntax: 

list(
  BatchPredictionId = "string"
)

Request syntax

svc$create_batch_prediction(
  BatchPredictionId = "string",
  BatchPredictionName = "string",
  MLModelId = "string",
  BatchPredictionDataSourceId = "string",
  OutputUri = "string"
)