View source: R/machinelearning_operations.R
machinelearning_create_batch_prediction | R Documentation |
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.
machinelearning_create_batch_prediction(
BatchPredictionId,
BatchPredictionName = NULL,
MLModelId,
BatchPredictionDataSourceId,
OutputUri
)
BatchPredictionId |
[required] A user-supplied ID that uniquely identifies the |
BatchPredictionName |
A user-supplied name or description of the |
MLModelId |
[required] The ID of the |
BatchPredictionDataSourceId |
[required] The ID of the |
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 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. |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.