Class: Aws::MachineLearning::Types::CreateDataSourceFromS3Input
- Inherits:
-
Struct
- Object
- Struct
- Aws::MachineLearning::Types::CreateDataSourceFromS3Input
- Includes:
- Structure
- Defined in:
- lib/aws-sdk-machinelearning/types.rb
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#compute_statistics ⇒ Boolean
The compute statistics for a ‘DataSource`.
-
#data_source_id ⇒ String
A user-supplied identifier that uniquely identifies the ‘DataSource`.
-
#data_source_name ⇒ String
A user-supplied name or description of the ‘DataSource`.
-
#data_spec ⇒ Types::S3DataSpec
The data specification of a ‘DataSource`:.
Instance Attribute Details
#compute_statistics ⇒ Boolean
The compute statistics for a ‘DataSource`. The statistics are generated from the observation data referenced by a `DataSource`. Amazon ML uses the statistics internally during `MLModel` training. This parameter must be set to `true` if the `DataSource needs to be used for MLModel training.</p> `
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# File 'lib/aws-sdk-machinelearning/types.rb', line 466 class CreateDataSourceFromS3Input < Struct.new( :data_source_id, :data_source_name, :data_spec, :compute_statistics) SENSITIVE = [] include Aws::Structure end |
#data_source_id ⇒ String
A user-supplied identifier that uniquely identifies the ‘DataSource`.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 466 class CreateDataSourceFromS3Input < Struct.new( :data_source_id, :data_source_name, :data_spec, :compute_statistics) SENSITIVE = [] include Aws::Structure end |
#data_source_name ⇒ String
A user-supplied name or description of the ‘DataSource`.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 466 class CreateDataSourceFromS3Input < Struct.new( :data_source_id, :data_source_name, :data_spec, :compute_statistics) SENSITIVE = [] include Aws::Structure end |
#data_spec ⇒ Types::S3DataSpec
The data specification of a ‘DataSource`:
-
DataLocationS3 - The Amazon S3 location of the observation data.
-
DataSchemaLocationS3 - The Amazon S3 location of the ‘DataSchema`.
-
DataSchema - A JSON string representing the schema. This is not required if ‘DataSchemaUri` is specified.
-
DataRearrangement - A JSON string that represents the splitting and rearrangement requirements for the ‘Datasource`.
Sample - ‘ “”splitting“:{”percentBegin“:10,”percentEnd“:60}”`
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# File 'lib/aws-sdk-machinelearning/types.rb', line 466 class CreateDataSourceFromS3Input < Struct.new( :data_source_id, :data_source_name, :data_spec, :compute_statistics) SENSITIVE = [] include Aws::Structure end |