Uses of Interface
org.apache.camel.builder.endpoint.dsl.WekaEndpointBuilderFactory.WekaEndpointBuilder

Packages that use WekaEndpointBuilderFactory.WekaEndpointBuilder

Package	Description
org.apache.camel.builder.endpoint
org.apache.camel.builder.endpoint.dsl

Uses of WekaEndpointBuilderFactory.WekaEndpointBuilder in org.apache.camel.builder.endpoint

Methods in org.apache.camel.builder.endpoint that return WekaEndpointBuilderFactory.WekaEndpointBuilder

Modifier and Type	Method	Description
static WekaEndpointBuilderFactory.WekaEndpointBuilder	StaticEndpointBuilders.weka(String path)	Weka (camel-weka) Perform machine learning tasks using Weka.
static WekaEndpointBuilderFactory.WekaEndpointBuilder	StaticEndpointBuilders.weka(String componentName, String path)	Weka (camel-weka) Perform machine learning tasks using Weka.

Uses of WekaEndpointBuilderFactory.WekaEndpointBuilder in org.apache.camel.builder.endpoint.dsl

Methods in org.apache.camel.builder.endpoint.dsl that return WekaEndpointBuilderFactory.WekaEndpointBuilder

Modifier and Type	Method	Description
default WekaEndpointBuilderFactory.WekaEndpointBuilder	WekaEndpointBuilderFactory.WekaEndpointBuilder.apply(String apply)	The filter spec (i.e.
default WekaEndpointBuilderFactory.WekaEndpointBuilder	WekaEndpointBuilderFactory.AdvancedWekaEndpointBuilder.basic()
default WekaEndpointBuilderFactory.WekaEndpointBuilder	WekaEndpointBuilderFactory.WekaEndpointBuilder.build(String build)	The classifier spec (i.e.
default WekaEndpointBuilderFactory.WekaEndpointBuilder	WekaEndpointBuilderFactory.WekaEndpointBuilder.dsname(String dsname)	The named dataset to train the classifier with.
static WekaEndpointBuilderFactory.WekaEndpointBuilder	WekaEndpointBuilderFactory.endpointBuilder(String componentName, String path)
default WekaEndpointBuilderFactory.WekaEndpointBuilder	WekaEndpointBuilderFactory.WekaEndpointBuilder.folds(int folds)	Number of folds to use for cross-validation.
default WekaEndpointBuilderFactory.WekaEndpointBuilder	WekaEndpointBuilderFactory.WekaEndpointBuilder.folds(String folds)	Number of folds to use for cross-validation.
default WekaEndpointBuilderFactory.WekaEndpointBuilder	WekaEndpointBuilderFactory.WekaEndpointBuilder.loadFrom(String loadFrom)	Path to load the model from.
default WekaEndpointBuilderFactory.WekaEndpointBuilder	WekaEndpointBuilderFactory.WekaEndpointBuilder.path(String path)	An in/out path for the read/write commands.
default WekaEndpointBuilderFactory.WekaEndpointBuilder	WekaEndpointBuilderFactory.WekaEndpointBuilder.saveTo(String saveTo)	Path to save the model to.
default WekaEndpointBuilderFactory.WekaEndpointBuilder	WekaEndpointBuilderFactory.WekaEndpointBuilder.seed(int seed)	An optional seed for the randomizer.
default WekaEndpointBuilderFactory.WekaEndpointBuilder	WekaEndpointBuilderFactory.WekaEndpointBuilder.seed(String seed)	An optional seed for the randomizer.
default WekaEndpointBuilderFactory.WekaEndpointBuilder	WekaEndpointBuilderFactory.WekaBuilders.weka(String path)	Weka (camel-weka) Perform machine learning tasks using Weka.
default WekaEndpointBuilderFactory.WekaEndpointBuilder	WekaEndpointBuilderFactory.WekaBuilders.weka(String componentName, String path)	Weka (camel-weka) Perform machine learning tasks using Weka.
default WekaEndpointBuilderFactory.WekaEndpointBuilder	WekaEndpointBuilderFactory.WekaEndpointBuilder.xval(boolean xval)	Flag on whether to use cross-validation with the current dataset.
default WekaEndpointBuilderFactory.WekaEndpointBuilder	WekaEndpointBuilderFactory.WekaEndpointBuilder.xval(String xval)	Flag on whether to use cross-validation with the current dataset.