Amazonka.SageMaker.Types.AutoMLCandidateGenerationConfig

Documentation

data AutoMLCandidateGenerationConfig

Stores the config information for how a candidate is generated (optional).

See: newAutoMLCandidateGenerationConfig smart constructor.

Constructors

AutoMLCandidateGenerationConfig'

Fields

• featureSpecificationS3Uri :: Maybe Text

  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" ... } }

  These column keys may not include the target column.

  In ensembling mode, Autopilot will only support 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", ...] is 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.

Instances

FromJSON AutoMLCandidateGenerationConfig

Defined in Amazonka.SageMaker.Types.AutoMLCandidateGenerationConfig

Methods

parseJSON :: Value -> Parser AutoMLCandidateGenerationConfig

parseJSONList :: Value -> Parser [AutoMLCandidateGenerationConfig]

ToJSON AutoMLCandidateGenerationConfig

Defined in Amazonka.SageMaker.Types.AutoMLCandidateGenerationConfig

Methods

toJSON :: AutoMLCandidateGenerationConfig -> Value

toEncoding :: AutoMLCandidateGenerationConfig -> Encoding

toJSONList :: [AutoMLCandidateGenerationConfig] -> Value

toEncodingList :: [AutoMLCandidateGenerationConfig] -> Encoding

Generic AutoMLCandidateGenerationConfig

Defined in Amazonka.SageMaker.Types.AutoMLCandidateGenerationConfig

Associated Types

type Rep AutoMLCandidateGenerationConfig :: Type -> Type

Methods

from :: AutoMLCandidateGenerationConfig -> Rep AutoMLCandidateGenerationConfig x

to :: Rep AutoMLCandidateGenerationConfig x -> AutoMLCandidateGenerationConfig

Read AutoMLCandidateGenerationConfig

Defined in Amazonka.SageMaker.Types.AutoMLCandidateGenerationConfig

Methods

readsPrec :: Int -> ReadS AutoMLCandidateGenerationConfig

readList :: ReadS [AutoMLCandidateGenerationConfig]

readPrec :: ReadPrec AutoMLCandidateGenerationConfig

readListPrec :: ReadPrec [AutoMLCandidateGenerationConfig]

Show AutoMLCandidateGenerationConfig

Defined in Amazonka.SageMaker.Types.AutoMLCandidateGenerationConfig

Methods

showsPrec :: Int -> AutoMLCandidateGenerationConfig -> ShowS

show :: AutoMLCandidateGenerationConfig -> String

showList :: [AutoMLCandidateGenerationConfig] -> ShowS

NFData AutoMLCandidateGenerationConfig

Defined in Amazonka.SageMaker.Types.AutoMLCandidateGenerationConfig

Methods

rnf :: AutoMLCandidateGenerationConfig -> ()

Eq AutoMLCandidateGenerationConfig

Defined in Amazonka.SageMaker.Types.AutoMLCandidateGenerationConfig

Methods

(==) :: AutoMLCandidateGenerationConfig -> AutoMLCandidateGenerationConfig -> Bool

(/=) :: AutoMLCandidateGenerationConfig -> AutoMLCandidateGenerationConfig -> Bool

Hashable AutoMLCandidateGenerationConfig

Defined in Amazonka.SageMaker.Types.AutoMLCandidateGenerationConfig

Methods

hashWithSalt :: Int -> AutoMLCandidateGenerationConfig -> Int

hash :: AutoMLCandidateGenerationConfig -> Int

type Rep AutoMLCandidateGenerationConfig

Defined in Amazonka.SageMaker.Types.AutoMLCandidateGenerationConfig

type Rep AutoMLCandidateGenerationConfig = D1 ('MetaData "AutoMLCandidateGenerationConfig" "Amazonka.SageMaker.Types.AutoMLCandidateGenerationConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AutoMLCandidateGenerationConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "featureSpecificationS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newAutoMLCandidateGenerationConfig :: AutoMLCandidateGenerationConfig

Create a value of AutoMLCandidateGenerationConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:featureSpecificationS3Uri:AutoMLCandidateGenerationConfig', autoMLCandidateGenerationConfig_featureSpecificationS3Uri - 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" ... } }

These column keys may not include the target column.

In ensembling mode, Autopilot will only support 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", ...] is 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.

autoMLCandidateGenerationConfig_featureSpecificationS3Uri :: Lens' AutoMLCandidateGenerationConfig (Maybe Text)

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" ... } }

These column keys may not include the target column.

In ensembling mode, Autopilot will only support 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", ...] is 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.