Class: Aws::SageMaker::Types::AutoMLCandidateGenerationConfig
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::AutoMLCandidateGenerationConfig
- Defined in:
- gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb
Overview
Stores the configuration information for how a candidate is generated (optional).
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#algorithms_config ⇒ Array<Types::AutoMLAlgorithmConfig>
Stores the configuration information for the selection of algorithms used to train the model candidates.
-
#feature_specification_s3_uri ⇒ String
A URL to the Amazon S3 data source containing selected features from the input data source to run an Autopilot job.
Instance Attribute Details
#algorithms_config ⇒ Array<Types::AutoMLAlgorithmConfig>
Stores the configuration information for the selection of algorithms used to train the model candidates.
The list of available algorithms to choose from depends on the
training mode set in AutoMLJobConfig.Mode
.
AlgorithmsConfig
should not be set inAUTO
training mode.When
AlgorithmsConfig
is provided, oneAutoMLAlgorithms
attribute must be set and one only.If the list of algorithms provided as values for
AutoMLAlgorithms
is empty,AutoMLCandidateGenerationConfig
uses the full set of algorithms for the given training mode.When
AlgorithmsConfig
is not provided,AutoMLCandidateGenerationConfig
uses the full set of algorithms for the given training mode.
For the list of all algorithms per training mode, see AutoMLAlgorithmConfig.
For more information on each algorithm, see the Algorithm support section in Autopilot developer guide.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 1910 class AutoMLCandidateGenerationConfig < Struct.new( :feature_specification_s3_uri, :algorithms_config) SENSITIVE = [] include Aws::Structure end |
#feature_specification_s3_uri ⇒ String
A URL to the Amazon S3 data source containing selected features from
the input data source to run an Autopilot job. You can input
FeatureAttributeNames
(optional) in JSON format as shown below:
\{ "FeatureAttributeNames":["col1", "col2", ...] \}
.
You can also specify the data type of the feature (optional) in the format shown below:
\{ "FeatureDataTypes":\{"col1":"numeric", "col2":"categorical" ...
\} \}
In ensembling mode, Autopilot only supports the following data
types: numeric
, categorical
, text
, and datetime
. In HPO
mode, Autopilot can support numeric
, categorical
, text
,
datetime
, and sequence
.
If only FeatureDataTypes
is provided, the column keys (col1
,
col2
,..) should be a subset of the column names in the input data.
If both FeatureDataTypes
and FeatureAttributeNames
are provided,
then the column keys should be a subset of the column names provided
in FeatureAttributeNames
.
The key name FeatureAttributeNames
is fixed. The values listed in
["col1", "col2", ...]
are case sensitive and should be a list of
strings containing unique values that are a subset of the column
names in the input data. The list of columns provided must not
include the target column.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 1910 class AutoMLCandidateGenerationConfig < Struct.new( :feature_specification_s3_uri, :algorithms_config) SENSITIVE = [] include Aws::Structure end |