Class AutoMLAlgorithmConfig
- java.lang.Object
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- software.amazon.awssdk.services.sagemaker.model.AutoMLAlgorithmConfig
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- All Implemented Interfaces:
Serializable
,SdkPojo
,ToCopyableBuilder<AutoMLAlgorithmConfig.Builder,AutoMLAlgorithmConfig>
@Generated("software.amazon.awssdk:codegen") public final class AutoMLAlgorithmConfig extends Object implements SdkPojo, Serializable, ToCopyableBuilder<AutoMLAlgorithmConfig.Builder,AutoMLAlgorithmConfig>
The collection of algorithms run on a dataset for training the model candidates of an Autopilot job.
- See Also:
- Serialized Form
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Nested Class Summary
Nested Classes Modifier and Type Class Description static interface
AutoMLAlgorithmConfig.Builder
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description List<AutoMLAlgorithm>
autoMLAlgorithms()
The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.List<String>
autoMLAlgorithmsAsStrings()
The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.static AutoMLAlgorithmConfig.Builder
builder()
boolean
equals(Object obj)
boolean
equalsBySdkFields(Object obj)
<T> Optional<T>
getValueForField(String fieldName, Class<T> clazz)
boolean
hasAutoMLAlgorithms()
For responses, this returns true if the service returned a value for the AutoMLAlgorithms property.int
hashCode()
List<SdkField<?>>
sdkFields()
static Class<? extends AutoMLAlgorithmConfig.Builder>
serializableBuilderClass()
AutoMLAlgorithmConfig.Builder
toBuilder()
String
toString()
Returns a string representation of this object.-
Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
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Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
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Method Detail
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autoMLAlgorithms
public final List<AutoMLAlgorithm> autoMLAlgorithms()
The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.
Selected algorithms must belong to the list corresponding to the training mode set in AutoMLJobConfig.Mode (
ENSEMBLING
orHYPERPARAMETER_TUNING
). Choose a minimum of 1 algorithm.-
In
ENSEMBLING
mode:-
"catboost"
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"extra-trees"
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"fastai"
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"lightgbm"
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"linear-learner"
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"nn-torch"
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"randomforest"
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"xgboost"
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In
HYPERPARAMETER_TUNING
mode:-
"linear-learner"
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"mlp"
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"xgboost"
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Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the
hasAutoMLAlgorithms()
method.- Returns:
- The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.
Selected algorithms must belong to the list corresponding to the training mode set in AutoMLJobConfig.Mode (
ENSEMBLING
orHYPERPARAMETER_TUNING
). Choose a minimum of 1 algorithm.-
In
ENSEMBLING
mode:-
"catboost"
-
"extra-trees"
-
"fastai"
-
"lightgbm"
-
"linear-learner"
-
"nn-torch"
-
"randomforest"
-
"xgboost"
-
-
In
HYPERPARAMETER_TUNING
mode:-
"linear-learner"
-
"mlp"
-
"xgboost"
-
-
-
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hasAutoMLAlgorithms
public final boolean hasAutoMLAlgorithms()
For responses, this returns true if the service returned a value for the AutoMLAlgorithms property. This DOES NOT check that the value is non-empty (for which, you should check theisEmpty()
method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified.
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autoMLAlgorithmsAsStrings
public final List<String> autoMLAlgorithmsAsStrings()
The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.
Selected algorithms must belong to the list corresponding to the training mode set in AutoMLJobConfig.Mode (
ENSEMBLING
orHYPERPARAMETER_TUNING
). Choose a minimum of 1 algorithm.-
In
ENSEMBLING
mode:-
"catboost"
-
"extra-trees"
-
"fastai"
-
"lightgbm"
-
"linear-learner"
-
"nn-torch"
-
"randomforest"
-
"xgboost"
-
-
In
HYPERPARAMETER_TUNING
mode:-
"linear-learner"
-
"mlp"
-
"xgboost"
-
Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the
hasAutoMLAlgorithms()
method.- Returns:
- The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.
Selected algorithms must belong to the list corresponding to the training mode set in AutoMLJobConfig.Mode (
ENSEMBLING
orHYPERPARAMETER_TUNING
). Choose a minimum of 1 algorithm.-
In
ENSEMBLING
mode:-
"catboost"
-
"extra-trees"
-
"fastai"
-
"lightgbm"
-
"linear-learner"
-
"nn-torch"
-
"randomforest"
-
"xgboost"
-
-
In
HYPERPARAMETER_TUNING
mode:-
"linear-learner"
-
"mlp"
-
"xgboost"
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toBuilder
public AutoMLAlgorithmConfig.Builder toBuilder()
- Specified by:
toBuilder
in interfaceToCopyableBuilder<AutoMLAlgorithmConfig.Builder,AutoMLAlgorithmConfig>
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builder
public static AutoMLAlgorithmConfig.Builder builder()
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serializableBuilderClass
public static Class<? extends AutoMLAlgorithmConfig.Builder> serializableBuilderClass()
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equalsBySdkFields
public final boolean equalsBySdkFields(Object obj)
- Specified by:
equalsBySdkFields
in interfaceSdkPojo
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toString
public final String toString()
Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
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