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Class: Aws::MachineLearning::Types::CreateBatchPredictionInput

Inherits:
Struct
  • Object
show all
Defined in:
(unknown)

Overview

Note:

When passing CreateBatchPredictionInput as input to an Aws::Client method, you can use a vanilla Hash:

{
  batch_prediction_id: "EntityId", # required
  batch_prediction_name: "EntityName",
  ml_model_id: "EntityId", # required
  batch_prediction_data_source_id: "EntityId", # required
  output_uri: "S3Url", # required
}

Instance Attribute Summary collapse

Instance Attribute Details

#batch_prediction_data_source_id ⇒ String

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

Returns:

  • (String) —

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

#batch_prediction_id ⇒ String

A user-supplied ID that uniquely identifies the BatchPrediction.

Returns:

  • (String) —

    A user-supplied ID that uniquely identifies the BatchPrediction.

#batch_prediction_name ⇒ String

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

Returns:

  • (String) —

    A user-supplied name or description of the BatchPrediction.

#ml_model_id ⇒ String

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

Returns:

  • (String) —

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

#output_uri ⇒ String

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.

Returns:

  • (String) —

    The location of an Amazon Simple Storage Service (Amazon S3) bucket or directory to store the batch prediction results.