machinelearning_create_batch_prediction {paws.machine.learning}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.

See https://www.paws-r-sdk.com/docs/machinelearning_create_batch_prediction/ for full documentation.

Usage

machinelearning_create_batch_prediction(
  BatchPredictionId,
  BatchPredictionName = NULL,
  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.


[Package paws.machine.learning version 0.7.0 Index]