@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class CandidateGenerationConfig extends Object implements Serializable, Cloneable, StructuredPojo
Stores the configuration information for how model candidates are generated using an AutoML job V2.
Constructor and Description |
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CandidateGenerationConfig() |
Modifier and Type | Method and Description |
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CandidateGenerationConfig |
clone() |
boolean |
equals(Object obj) |
List<AutoMLAlgorithmConfig> |
getAlgorithmsConfig()
Stores the configuration information for the selection of algorithms used to train model candidates on tabular
data.
|
int |
hashCode() |
void |
marshall(ProtocolMarshaller protocolMarshaller)
Marshalls this structured data using the given
ProtocolMarshaller . |
void |
setAlgorithmsConfig(Collection<AutoMLAlgorithmConfig> algorithmsConfig)
Stores the configuration information for the selection of algorithms used to train model candidates on tabular
data.
|
String |
toString()
Returns a string representation of this object.
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CandidateGenerationConfig |
withAlgorithmsConfig(AutoMLAlgorithmConfig... algorithmsConfig)
Stores the configuration information for the selection of algorithms used to train model candidates on tabular
data.
|
CandidateGenerationConfig |
withAlgorithmsConfig(Collection<AutoMLAlgorithmConfig> algorithmsConfig)
Stores the configuration information for the selection of algorithms used to train model candidates on tabular
data.
|
public List<AutoMLAlgorithmConfig> getAlgorithmsConfig()
Stores the configuration information for the selection of algorithms used to train model candidates on tabular data.
The list of available algorithms to choose from depends on the training mode set in
TabularJobConfig.Mode
.
AlgorithmsConfig
should not be set in AUTO
training mode.
When AlgorithmsConfig
is provided, one AutoMLAlgorithms
attribute must be set and one
only.
If the list of algorithms provided as values for AutoMLAlgorithms
is empty,
CandidateGenerationConfig
uses the full set of algorithms for the given training mode.
When AlgorithmsConfig
is not provided, CandidateGenerationConfig
uses the full set of
algorithms for the given training mode.
For the list of all algorithms per problem type and training mode, see AutoMLAlgorithmConfig.
For more information on each algorithm, see the Algorithm support section in Autopilot developer guide.
The list of available algorithms to choose from depends on the training mode set in
TabularJobConfig.Mode
.
AlgorithmsConfig
should not be set in AUTO
training mode.
When AlgorithmsConfig
is provided, one AutoMLAlgorithms
attribute must be set
and one only.
If the list of algorithms provided as values for AutoMLAlgorithms
is empty,
CandidateGenerationConfig
uses the full set of algorithms for the given training mode.
When AlgorithmsConfig
is not provided, CandidateGenerationConfig
uses the full
set of algorithms for the given training mode.
For the list of all algorithms per problem type and training mode, see AutoMLAlgorithmConfig.
For more information on each algorithm, see the Algorithm support section in Autopilot developer guide.
public void setAlgorithmsConfig(Collection<AutoMLAlgorithmConfig> algorithmsConfig)
Stores the configuration information for the selection of algorithms used to train model candidates on tabular data.
The list of available algorithms to choose from depends on the training mode set in
TabularJobConfig.Mode
.
AlgorithmsConfig
should not be set in AUTO
training mode.
When AlgorithmsConfig
is provided, one AutoMLAlgorithms
attribute must be set and one
only.
If the list of algorithms provided as values for AutoMLAlgorithms
is empty,
CandidateGenerationConfig
uses the full set of algorithms for the given training mode.
When AlgorithmsConfig
is not provided, CandidateGenerationConfig
uses the full set of
algorithms for the given training mode.
For the list of all algorithms per problem type and training mode, see AutoMLAlgorithmConfig.
For more information on each algorithm, see the Algorithm support section in Autopilot developer guide.
algorithmsConfig
- Stores the configuration information for the selection of algorithms used to train model candidates on
tabular data.
The list of available algorithms to choose from depends on the training mode set in
TabularJobConfig.Mode
.
AlgorithmsConfig
should not be set in AUTO
training mode.
When AlgorithmsConfig
is provided, one AutoMLAlgorithms
attribute must be set
and one only.
If the list of algorithms provided as values for AutoMLAlgorithms
is empty,
CandidateGenerationConfig
uses the full set of algorithms for the given training mode.
When AlgorithmsConfig
is not provided, CandidateGenerationConfig
uses the full
set of algorithms for the given training mode.
For the list of all algorithms per problem type and training mode, see AutoMLAlgorithmConfig.
For more information on each algorithm, see the Algorithm support section in Autopilot developer guide.
public CandidateGenerationConfig withAlgorithmsConfig(AutoMLAlgorithmConfig... algorithmsConfig)
Stores the configuration information for the selection of algorithms used to train model candidates on tabular data.
The list of available algorithms to choose from depends on the training mode set in
TabularJobConfig.Mode
.
AlgorithmsConfig
should not be set in AUTO
training mode.
When AlgorithmsConfig
is provided, one AutoMLAlgorithms
attribute must be set and one
only.
If the list of algorithms provided as values for AutoMLAlgorithms
is empty,
CandidateGenerationConfig
uses the full set of algorithms for the given training mode.
When AlgorithmsConfig
is not provided, CandidateGenerationConfig
uses the full set of
algorithms for the given training mode.
For the list of all algorithms per problem type and training mode, see AutoMLAlgorithmConfig.
For more information on each algorithm, see the Algorithm support section in Autopilot developer guide.
NOTE: This method appends the values to the existing list (if any). Use
setAlgorithmsConfig(java.util.Collection)
or withAlgorithmsConfig(java.util.Collection)
if you
want to override the existing values.
algorithmsConfig
- Stores the configuration information for the selection of algorithms used to train model candidates on
tabular data.
The list of available algorithms to choose from depends on the training mode set in
TabularJobConfig.Mode
.
AlgorithmsConfig
should not be set in AUTO
training mode.
When AlgorithmsConfig
is provided, one AutoMLAlgorithms
attribute must be set
and one only.
If the list of algorithms provided as values for AutoMLAlgorithms
is empty,
CandidateGenerationConfig
uses the full set of algorithms for the given training mode.
When AlgorithmsConfig
is not provided, CandidateGenerationConfig
uses the full
set of algorithms for the given training mode.
For the list of all algorithms per problem type and training mode, see AutoMLAlgorithmConfig.
For more information on each algorithm, see the Algorithm support section in Autopilot developer guide.
public CandidateGenerationConfig withAlgorithmsConfig(Collection<AutoMLAlgorithmConfig> algorithmsConfig)
Stores the configuration information for the selection of algorithms used to train model candidates on tabular data.
The list of available algorithms to choose from depends on the training mode set in
TabularJobConfig.Mode
.
AlgorithmsConfig
should not be set in AUTO
training mode.
When AlgorithmsConfig
is provided, one AutoMLAlgorithms
attribute must be set and one
only.
If the list of algorithms provided as values for AutoMLAlgorithms
is empty,
CandidateGenerationConfig
uses the full set of algorithms for the given training mode.
When AlgorithmsConfig
is not provided, CandidateGenerationConfig
uses the full set of
algorithms for the given training mode.
For the list of all algorithms per problem type and training mode, see AutoMLAlgorithmConfig.
For more information on each algorithm, see the Algorithm support section in Autopilot developer guide.
algorithmsConfig
- Stores the configuration information for the selection of algorithms used to train model candidates on
tabular data.
The list of available algorithms to choose from depends on the training mode set in
TabularJobConfig.Mode
.
AlgorithmsConfig
should not be set in AUTO
training mode.
When AlgorithmsConfig
is provided, one AutoMLAlgorithms
attribute must be set
and one only.
If the list of algorithms provided as values for AutoMLAlgorithms
is empty,
CandidateGenerationConfig
uses the full set of algorithms for the given training mode.
When AlgorithmsConfig
is not provided, CandidateGenerationConfig
uses the full
set of algorithms for the given training mode.
For the list of all algorithms per problem type and training mode, see AutoMLAlgorithmConfig.
For more information on each algorithm, see the Algorithm support section in Autopilot developer guide.
public String toString()
toString
in class Object
Object.toString()
public CandidateGenerationConfig clone()
public void marshall(ProtocolMarshaller protocolMarshaller)
StructuredPojo
ProtocolMarshaller
.marshall
in interface StructuredPojo
protocolMarshaller
- Implementation of ProtocolMarshaller
used to marshall this object's data.