Interface WekaEndpointBuilderFactory.WekaEndpointBuilder
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- All Superinterfaces:
org.apache.camel.builder.EndpointProducerBuilder
,org.apache.camel.EndpointProducerResolver
- Enclosing interface:
- WekaEndpointBuilderFactory
public static interface WekaEndpointBuilderFactory.WekaEndpointBuilder extends org.apache.camel.builder.EndpointProducerBuilder
Builder for endpoint for the Weka component.
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Method Summary
All Methods Instance Methods Default Methods Modifier and Type Method Description default WekaEndpointBuilderFactory.AdvancedWekaEndpointBuilder
advanced()
default WekaEndpointBuilderFactory.WekaEndpointBuilder
apply(String apply)
The filter spec (i.e.default WekaEndpointBuilderFactory.WekaEndpointBuilder
build(String build)
The classifier spec (i.e.default WekaEndpointBuilderFactory.WekaEndpointBuilder
dsname(String dsname)
The named dataset to train the classifier with.default WekaEndpointBuilderFactory.WekaEndpointBuilder
folds(int folds)
Number of folds to use for cross-validation.default WekaEndpointBuilderFactory.WekaEndpointBuilder
folds(String folds)
Number of folds to use for cross-validation.default WekaEndpointBuilderFactory.WekaEndpointBuilder
loadFrom(String loadFrom)
Path to load the model from.default WekaEndpointBuilderFactory.WekaEndpointBuilder
path(String path)
An in/out path for the read/write commands.default WekaEndpointBuilderFactory.WekaEndpointBuilder
saveTo(String saveTo)
Path to save the model to.default WekaEndpointBuilderFactory.WekaEndpointBuilder
seed(int seed)
An optional seed for the randomizer.default WekaEndpointBuilderFactory.WekaEndpointBuilder
seed(String seed)
An optional seed for the randomizer.default WekaEndpointBuilderFactory.WekaEndpointBuilder
xval(boolean xval)
Flag on whether to use cross-validation with the current dataset.default WekaEndpointBuilderFactory.WekaEndpointBuilder
xval(String xval)
Flag on whether to use cross-validation with the current dataset.
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Method Detail
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advanced
default WekaEndpointBuilderFactory.AdvancedWekaEndpointBuilder advanced()
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apply
default WekaEndpointBuilderFactory.WekaEndpointBuilder apply(String apply)
The filter spec (i.e. Name Options). The option is a: <code>java.lang.String</code> type. Group: filter- Parameters:
apply
- the value to set- Returns:
- the dsl builder
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build
default WekaEndpointBuilderFactory.WekaEndpointBuilder build(String build)
The classifier spec (i.e. Name Options). The option is a: <code>java.lang.String</code> type. Group: model- Parameters:
build
- the value to set- Returns:
- the dsl builder
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dsname
default WekaEndpointBuilderFactory.WekaEndpointBuilder dsname(String dsname)
The named dataset to train the classifier with. The option is a: <code>java.lang.String</code> type. Group: model- Parameters:
dsname
- the value to set- Returns:
- the dsl builder
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folds
default WekaEndpointBuilderFactory.WekaEndpointBuilder folds(int folds)
Number of folds to use for cross-validation. The option is a: <code>int</code> type. Default: 10 Group: model- Parameters:
folds
- the value to set- Returns:
- the dsl builder
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folds
default WekaEndpointBuilderFactory.WekaEndpointBuilder folds(String folds)
Number of folds to use for cross-validation. The option will be converted to a <code>int</code> type. Default: 10 Group: model- Parameters:
folds
- the value to set- Returns:
- the dsl builder
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loadFrom
default WekaEndpointBuilderFactory.WekaEndpointBuilder loadFrom(String loadFrom)
Path to load the model from. The option is a: <code>java.lang.String</code> type. Group: model- Parameters:
loadFrom
- the value to set- Returns:
- the dsl builder
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saveTo
default WekaEndpointBuilderFactory.WekaEndpointBuilder saveTo(String saveTo)
Path to save the model to. The option is a: <code>java.lang.String</code> type. Group: model- Parameters:
saveTo
- the value to set- Returns:
- the dsl builder
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seed
default WekaEndpointBuilderFactory.WekaEndpointBuilder seed(int seed)
An optional seed for the randomizer. The option is a: <code>int</code> type. Default: 1 Group: model- Parameters:
seed
- the value to set- Returns:
- the dsl builder
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seed
default WekaEndpointBuilderFactory.WekaEndpointBuilder seed(String seed)
An optional seed for the randomizer. The option will be converted to a <code>int</code> type. Default: 1 Group: model- Parameters:
seed
- the value to set- Returns:
- the dsl builder
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xval
default WekaEndpointBuilderFactory.WekaEndpointBuilder xval(boolean xval)
Flag on whether to use cross-validation with the current dataset. The option is a: <code>boolean</code> type. Default: false Group: model- Parameters:
xval
- the value to set- Returns:
- the dsl builder
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xval
default WekaEndpointBuilderFactory.WekaEndpointBuilder xval(String xval)
Flag on whether to use cross-validation with the current dataset. The option will be converted to a <code>boolean</code> type. Default: false Group: model- Parameters:
xval
- the value to set- Returns:
- the dsl builder
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path
default WekaEndpointBuilderFactory.WekaEndpointBuilder path(String path)
An in/out path for the read/write commands. The option is a: <code>java.lang.String</code> type. Group: write- Parameters:
path
- the value to set- Returns:
- the dsl builder
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