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.EndpointProducerBuilderBuilder 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.AdvancedWekaEndpointBuilderadvanced()default WekaEndpointBuilderFactory.WekaEndpointBuilderapply(String apply)The filter spec (i.e.default WekaEndpointBuilderFactory.WekaEndpointBuilderbuild(String build)The classifier spec (i.e.default WekaEndpointBuilderFactory.WekaEndpointBuilderdsname(String dsname)The named dataset to train the classifier with.default WekaEndpointBuilderFactory.WekaEndpointBuilderfolds(int folds)Number of folds to use for cross-validation.default WekaEndpointBuilderFactory.WekaEndpointBuilderfolds(String folds)Number of folds to use for cross-validation.default WekaEndpointBuilderFactory.WekaEndpointBuilderloadFrom(String loadFrom)Path to load the model from.default WekaEndpointBuilderFactory.WekaEndpointBuilderpath(String path)An in/out path for the read/write commands.default WekaEndpointBuilderFactory.WekaEndpointBuildersaveTo(String saveTo)Path to save the model to.default WekaEndpointBuilderFactory.WekaEndpointBuilderseed(int seed)An optional seed for the randomizer.default WekaEndpointBuilderFactory.WekaEndpointBuilderseed(String seed)An optional seed for the randomizer.default WekaEndpointBuilderFactory.WekaEndpointBuilderxval(boolean xval)Flag on whether to use cross-validation with the current dataset.default WekaEndpointBuilderFactory.WekaEndpointBuilderxval(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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