Class: Aws::MachineLearning::Types::CreateBatchPredictionInput
- Inherits:
-
Struct
- Object
- Struct
- Aws::MachineLearning::Types::CreateBatchPredictionInput
- Defined in:
- gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb
Overview
When making an API call, you may pass CreateBatchPredictionInput data as a 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
}
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#batch_prediction_data_source_id ⇒ 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
. -
#batch_prediction_name ⇒ 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. -
#output_uri ⇒ String
The location of an Amazon Simple Storage Service (Amazon S3) bucket or directory to store the batch prediction results.
Instance Attribute Details
#batch_prediction_data_source_id ⇒ String
The ID of the DataSource
that points to the group of observations
to predict.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 224 class CreateBatchPredictionInput < Struct.new( :batch_prediction_id, :batch_prediction_name, :ml_model_id, :batch_prediction_data_source_id, :output_uri) SENSITIVE = [] include Aws::Structure end |
#batch_prediction_id ⇒ String
A user-supplied ID that uniquely identifies the BatchPrediction
.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 224 class CreateBatchPredictionInput < Struct.new( :batch_prediction_id, :batch_prediction_name, :ml_model_id, :batch_prediction_data_source_id, :output_uri) SENSITIVE = [] include Aws::Structure end |
#batch_prediction_name ⇒ String
A user-supplied name or description of the BatchPrediction
.
BatchPredictionName
can only use the UTF-8 character set.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 224 class CreateBatchPredictionInput < Struct.new( :batch_prediction_id, :batch_prediction_name, :ml_model_id, :batch_prediction_data_source_id, :output_uri) SENSITIVE = [] include Aws::Structure end |
#ml_model_id ⇒ String
The ID of the MLModel
that will generate predictions for the group
of observations.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 224 class CreateBatchPredictionInput < Struct.new( :batch_prediction_id, :batch_prediction_name, :ml_model_id, :batch_prediction_data_source_id, :output_uri) SENSITIVE = [] include Aws::Structure end |
#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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 224 class CreateBatchPredictionInput < Struct.new( :batch_prediction_id, :batch_prediction_name, :ml_model_id, :batch_prediction_data_source_id, :output_uri) SENSITIVE = [] include Aws::Structure end |