Package ai.libs.mlplan.core

Class AbstractMLPlanBuilder<L extends org.api4.java.ai.ml.core.learner.ISupervisedLearner<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>>,​B extends AbstractMLPlanBuilder<L,​B>>

  • All Implemented Interfaces:
    IMLPlanBuilder<L,​B>, org.api4.java.common.control.ILoggingCustomizable
    Direct Known Subclasses:
    MLPlanSimpleBuilder
    public abstract class AbstractMLPlanBuilder<L extends org.api4.java.ai.ml.core.learner.ISupervisedLearner<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>>,​B extends AbstractMLPlanBuilder<L,​B>>
extends java.lang.Object
implements IMLPlanBuilder<L,​B>, org.api4.java.common.control.ILoggingCustomizable
    The MLPlanBuilder helps to easily configure and initialize ML-Plan with specific parameter settings. For convenient use, the MLPlanBuilder also offers methods for initializing ML-Plan with default configuration to use ML-Plan for single label classification in combination with WEKA or scikit-learn or for multi-label classification in combination with MEKA and consequently with WEKA (for baselearners of multi-label reduction strategies).

    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      MLPlan<L> build()
      Builds an ML-Plan object with the dataset provided earlier to this builder.
      MLPlan<L> build​(org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<?> dataset)
      Builds an ML-Plan object for the given dataset as input.
      void checkPreconditionsForInitialization()  
      MLPlanClassifierConfig getAlgorithmConfig()  
      org.api4.java.algorithm.Timeout getCandidateEvaluationTimeOut()  
      java.util.Map<ai.libs.hasco.model.Component,​java.util.Map<ai.libs.hasco.model.Parameter,​ai.libs.hasco.model.ParameterRefinementConfiguration>> getComponentParameterConfigurations()  
      java.util.Collection<ai.libs.hasco.model.Component> getComponents()  
      org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<?> getDataset()  
      ai.libs.hasco.variants.forwarddecomposition.HASCOViaFDFactory getHASCOFactory()  
      ai.libs.jaicore.ml.core.evaluation.evaluator.factory.ISupervisedLearnerEvaluatorFactory<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>> getLearnerEvaluationFactoryForSearchPhase()
      This is the factory that will be used to create the pipeline evaluators for evaluation during search time
      ai.libs.jaicore.ml.core.evaluation.evaluator.factory.ISupervisedLearnerEvaluatorFactory<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>> getLearnerEvaluationFactoryForSelectionPhase()
      This is the factory that will be used to create the pipeline evaluators for evaluation during selection time
      ILearnerFactory<L> getLearnerFactory()  
      java.lang.String getLoggerName()  
      org.api4.java.algorithm.Timeout getNodeEvaluationTimeOut()  
      double getPortionOfDataReservedForSelectionPhase()  
      java.lang.String getRequestedInterface()  
      protected ai.libs.jaicore.ml.core.evaluation.evaluator.factory.ISupervisedLearnerEvaluatorFactory<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>> getSearchEvaluatorFactory()  
      org.api4.java.ai.ml.core.dataset.splitter.IFoldSizeConfigurableRandomDatasetSplitter<org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>> getSearchSelectionDatasetSplitter()
      This is the splitter that splits the given input data into data for the search phase and for the selection phase
      java.io.File getSearchSpaceConfigFile()  
      protected ai.libs.jaicore.ml.core.evaluation.evaluator.factory.ISupervisedLearnerEvaluatorFactory<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>> getSelectionEvaluatorFactory()  
      org.api4.java.algorithm.Timeout getTimeOut()  
      void prepareNodeEvaluatorInFactoryWithData()  
      void setLoggerName​(java.lang.String name)  
      B withAlgorithmConfig​(MLPlanClassifierConfig config)
      Loads the MLPlanClassifierConfig with default values and replaces all properties according to the properties defined in the given config file.
      B withAlgorithmConfigFile​(java.io.File algorithmConfigFile)
      Loads the MLPlanClassifierConfig with default values and replaces all properties according to the properties defined in the given config file.
      B withCandidateEvaluationTimeOut​(org.api4.java.algorithm.Timeout timeout)  
      B withClassifierFactory​(ILearnerFactory<L> classifierFactory)
      Set the classifier factory that translates CompositionInstance objects to classifiers that can be evaluated.
      B withDataset​(org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<?> dataset)
      Set the data for which ML-Plan is supposed to find the best pipeline.
      B withDatasetSplitterForSearchSelectionSplit​(org.api4.java.ai.ml.core.dataset.splitter.IFoldSizeConfigurableRandomDatasetSplitter<org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<?>> datasetSplitter)
      Set the dataset splitter that is used for generating the holdout data portion that is put aside during search.
      ai.libs.jaicore.ml.core.evaluation.evaluator.factory.MonteCarloCrossValidationEvaluatorFactory withMCCVBasedCandidateEvaluationInSearchPhase()  
      ai.libs.jaicore.ml.core.evaluation.evaluator.factory.MonteCarloCrossValidationEvaluatorFactory withMCCVBasedCandidateEvaluationInSelectionPhase()  
      B withNodeEvaluationTimeOut​(org.api4.java.algorithm.Timeout timeout)  
      B withNumCpus​(int numCpus)
      Sets the number of cpus that may be used by ML-Plan.
      B withPipelineValidityCheckingNodeEvaluator​(PipelineValidityCheckingNodeEvaluator ne)  
      B withPortionOfDataReservedForSelection​(double value)  
      B withPreferredNodeEvaluator​(org.api4.java.ai.graphsearch.problem.pathsearch.pathevaluation.IPathEvaluator<ai.libs.jaicore.planning.hierarchical.algorithms.forwarddecomposition.graphgenerators.tfd.TFDNode,​java.lang.String,​java.lang.Double> preferredNodeEvaluator)
      This ADDs a new preferred node evaluator; requires that the search will be a best-first search.
      B withRandomCompletionBasedBestFirstSearch()  
      B withRequestedInterface​(java.lang.String requestedInterface)  
      B withSearchFactory​(org.api4.java.ai.graphsearch.problem.IOptimalPathInORGraphSearchFactory searchFactory, ai.libs.jaicore.basic.algorithm.reduction.AlgorithmicProblemReduction transformer)  
      void withSearchPhaseEvaluatorFactory​(ai.libs.jaicore.ml.core.evaluation.evaluator.factory.ISupervisedLearnerEvaluatorFactory<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>> evaluatorFactory)
      Sets the evaluator factory for the search phase.
      B withSearchSpaceConfigFile​(java.io.File searchSpaceConfig)
      Specify the search space in which ML-Plan is required to work.
      B withSeed​(long seed)  
      B withSelectionPhaseEvaluatorFactory​(ai.libs.jaicore.ml.core.evaluation.evaluator.factory.ISupervisedLearnerEvaluatorFactory<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>> evaluatorFactory)
      Sets the evaluator factory for the selection phase.
      B withTimeOut​(org.api4.java.algorithm.Timeout timeout)  

      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    • Field Detail

      • DEFAULT_SEARCH_NUM_MC_ITERATIONS

        protected static final int DEFAULT_SEARCH_NUM_MC_ITERATIONS
        See Also:
        Constant Field Values

      • DEFAULT_SEARCH_TRAIN_FOLD_SIZE

        protected static final double DEFAULT_SEARCH_TRAIN_FOLD_SIZE
        See Also:
        Constant Field Values

      • DEFAULT_SELECTION_NUM_MC_ITERATIONS

        protected static final int DEFAULT_SELECTION_NUM_MC_ITERATIONS
        See Also:
        Constant Field Values

      • DEFAULT_SELECTION_TRAIN_FOLD_SIZE

        protected static final double DEFAULT_SELECTION_TRAIN_FOLD_SIZE
        See Also:
        Constant Field Values

      • DEFAULT_PERFORMANCE_MEASURE

        protected static final org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Object,​java.lang.Object> DEFAULT_PERFORMANCE_MEASURE

      • factoryForPipelineEvaluationInSearchPhase

        protected ai.libs.jaicore.ml.core.evaluation.evaluator.factory.ISupervisedLearnerEvaluatorFactory<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>> factoryForPipelineEvaluationInSearchPhase

      • factoryForPipelineEvaluationInSelectionPhase

        protected ai.libs.jaicore.ml.core.evaluation.evaluator.factory.ISupervisedLearnerEvaluatorFactory<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>> factoryForPipelineEvaluationInSelectionPhase

    • Constructor Detail

      • AbstractMLPlanBuilder

        protected AbstractMLPlanBuilder()

    • Method Detail

      • withPreferredNodeEvaluator

        public B withPreferredNodeEvaluator​(org.api4.java.ai.graphsearch.problem.pathsearch.pathevaluation.IPathEvaluator<ai.libs.jaicore.planning.hierarchical.algorithms.forwarddecomposition.graphgenerators.tfd.TFDNode,​java.lang.String,​java.lang.Double> preferredNodeEvaluator)
        This ADDs a new preferred node evaluator; requires that the search will be a best-first search. It is possible to specify several preferred node evaluators, which will be ordered by the order in which they are specified. The latest given evaluator is the most preferred one.
        Parameters:
        preferredNodeEvaluator -
        Returns:

      • withSearchFactory

        public B withSearchFactory​(org.api4.java.ai.graphsearch.problem.IOptimalPathInORGraphSearchFactory searchFactory,
                           ai.libs.jaicore.basic.algorithm.reduction.AlgorithmicProblemReduction transformer)

      • withRandomCompletionBasedBestFirstSearch

        public B withRandomCompletionBasedBestFirstSearch()

      • getComponents

        public java.util.Collection<ai.libs.hasco.model.Component> getComponents()
                                                                  throws java.io.IOException
        Throws:
        java.io.IOException

      • getComponentParameterConfigurations

        public java.util.Map<ai.libs.hasco.model.Component,​java.util.Map<ai.libs.hasco.model.Parameter,​ai.libs.hasco.model.ParameterRefinementConfiguration>> getComponentParameterConfigurations()
                                                                                                                                                                                               throws java.io.IOException
        Throws:
        java.io.IOException

      • withAlgorithmConfigFile

        public B withAlgorithmConfigFile​(java.io.File algorithmConfigFile)
        Loads the MLPlanClassifierConfig with default values and replaces all properties according to the properties defined in the given config file.
        Parameters:
        algorithmConfigFile - The file specifying the property values to replace the default configuration.
        Returns:
        The MLPlanBuilder object.
        Throws:
        java.io.IOException - An IOException is thrown if there are issues reading the config file.

      • withAlgorithmConfig

        public B withAlgorithmConfig​(MLPlanClassifierConfig config)
        Loads the MLPlanClassifierConfig with default values and replaces all properties according to the properties defined in the given config file.
        Parameters:
        config - The algorithm configuration.
        Returns:
        The MLPlanBuilder object.
        Throws:
        java.io.IOException - An IOException is thrown if there are issues reading the config file.

      • withDataset

        public B withDataset​(org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<?> dataset)
        Set the data for which ML-Plan is supposed to find the best pipeline.
        Parameters:
        dataset - The dataset for which ML-Plan is to be run.
        Returns:
        The builder object.

      • getDataset

        public org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<?> getDataset()

      • withSearchSpaceConfigFile

        public B withSearchSpaceConfigFile​(java.io.File searchSpaceConfig)
                            throws java.io.IOException
        Specify the search space in which ML-Plan is required to work.
        Parameters:
        searchSpaceConfig - The file of the search space configuration.
        Returns:
        The builder object.
        Throws:
        java.io.IOException - Thrown if the given file does not exist.

      • withClassifierFactory

        public B withClassifierFactory​(ILearnerFactory<L> classifierFactory)
        Set the classifier factory that translates CompositionInstance objects to classifiers that can be evaluated.
        Parameters:
        classifierFactory - The classifier factory to be used to translate CompositionInstance objects to classifiers.
        Returns:
        The builder object.

      • withDatasetSplitterForSearchSelectionSplit

        public B withDatasetSplitterForSearchSelectionSplit​(org.api4.java.ai.ml.core.dataset.splitter.IFoldSizeConfigurableRandomDatasetSplitter<org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<?>> datasetSplitter)
        Set the dataset splitter that is used for generating the holdout data portion that is put aside during search.
        Parameters:
        datasetSplitter - The dataset splitter to be used.
        Returns:
        The builder obect.

      • withRequestedInterface

        public B withRequestedInterface​(java.lang.String requestedInterface)

      • withTimeOut

        public B withTimeOut​(org.api4.java.algorithm.Timeout timeout)
        Parameters:
        timeout - The timeout for ML-Plan to search for the best classifier.
        Returns:
        The builder object.

      • getTimeOut

        public org.api4.java.algorithm.Timeout getTimeOut()
        Returns:
        The timeout for ML-Plan to search for the best classifier.

      • withNodeEvaluationTimeOut

        public B withNodeEvaluationTimeOut​(org.api4.java.algorithm.Timeout timeout)
        Parameters:
        timeout - The timeout for a single candidate evaluation.
        Returns:
        The builder object.

      • getNodeEvaluationTimeOut

        public org.api4.java.algorithm.Timeout getNodeEvaluationTimeOut()
        Returns:
        The timeout for ML-Plan to search for the best classifier.

      • withCandidateEvaluationTimeOut

        public B withCandidateEvaluationTimeOut​(org.api4.java.algorithm.Timeout timeout)
        Parameters:
        timeout - The timeout for a single candidate evaluation.
        Returns:
        The builder object.

      • getCandidateEvaluationTimeOut

        public org.api4.java.algorithm.Timeout getCandidateEvaluationTimeOut()
        Returns:
        The timeout for ML-Plan to search for the best classifier.

      • withMCCVBasedCandidateEvaluationInSearchPhase

        public ai.libs.jaicore.ml.core.evaluation.evaluator.factory.MonteCarloCrossValidationEvaluatorFactory withMCCVBasedCandidateEvaluationInSearchPhase()

      • withMCCVBasedCandidateEvaluationInSelectionPhase

        public ai.libs.jaicore.ml.core.evaluation.evaluator.factory.MonteCarloCrossValidationEvaluatorFactory withMCCVBasedCandidateEvaluationInSelectionPhase()

      • getLearnerEvaluationFactoryForSearchPhase

        public ai.libs.jaicore.ml.core.evaluation.evaluator.factory.ISupervisedLearnerEvaluatorFactory<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>> getLearnerEvaluationFactoryForSearchPhase()
        Description copied from interface: IMLPlanBuilder
        This is the factory that will be used to create the pipeline evaluators for evaluation during search time
        Specified by:
        getLearnerEvaluationFactoryForSearchPhase in interface IMLPlanBuilder<L extends org.api4.java.ai.ml.core.learner.ISupervisedLearner<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>>,​B extends AbstractMLPlanBuilder<L,​B>>
        Returns:

      • getLearnerEvaluationFactoryForSelectionPhase

        public ai.libs.jaicore.ml.core.evaluation.evaluator.factory.ISupervisedLearnerEvaluatorFactory<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>> getLearnerEvaluationFactoryForSelectionPhase()
        Description copied from interface: IMLPlanBuilder
        This is the factory that will be used to create the pipeline evaluators for evaluation during selection time
        Specified by:
        getLearnerEvaluationFactoryForSelectionPhase in interface IMLPlanBuilder<L extends org.api4.java.ai.ml.core.learner.ISupervisedLearner<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>>,​B extends AbstractMLPlanBuilder<L,​B>>
        Returns:

      • withSearchPhaseEvaluatorFactory

        public void withSearchPhaseEvaluatorFactory​(ai.libs.jaicore.ml.core.evaluation.evaluator.factory.ISupervisedLearnerEvaluatorFactory<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>> evaluatorFactory)
        Sets the evaluator factory for the search phase.
        Parameters:
        evaluatorFactory - The evaluator factory for the search phase.

      • getSearchEvaluatorFactory

        protected ai.libs.jaicore.ml.core.evaluation.evaluator.factory.ISupervisedLearnerEvaluatorFactory<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>> getSearchEvaluatorFactory()
        Returns:
        The factory for the classifier evaluator of the search phase.

      • withSelectionPhaseEvaluatorFactory

        public B withSelectionPhaseEvaluatorFactory​(ai.libs.jaicore.ml.core.evaluation.evaluator.factory.ISupervisedLearnerEvaluatorFactory<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>> evaluatorFactory)
        Sets the evaluator factory for the selection phase.
        Parameters:
        evaluatorFactory - The evaluator factory for the selection phase.
        Returns:
        The builder object.

      • withNumCpus

        public B withNumCpus​(int numCpus)
        Sets the number of cpus that may be used by ML-Plan.
        Parameters:
        numCpus - The number of cpus to use.
        Returns:
        The builder object.

      • withSeed

        public B withSeed​(long seed)

      • getSelectionEvaluatorFactory

        protected ai.libs.jaicore.ml.core.evaluation.evaluator.factory.ISupervisedLearnerEvaluatorFactory<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>> getSelectionEvaluatorFactory()
        Returns:
        The factory for the classifier evaluator of the selection phase.

      • getHASCOFactory

        public ai.libs.hasco.variants.forwarddecomposition.HASCOViaFDFactory getHASCOFactory()
        Specified by:
        getHASCOFactory in interface IMLPlanBuilder<L extends org.api4.java.ai.ml.core.learner.ISupervisedLearner<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>>,​B extends AbstractMLPlanBuilder<L,​B>>

      • getLearnerFactory

        public ILearnerFactory<L> getLearnerFactory()
        Specified by:
        getLearnerFactory in interface IMLPlanBuilder<L extends org.api4.java.ai.ml.core.learner.ISupervisedLearner<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>>,​B extends AbstractMLPlanBuilder<L,​B>>

      • getLoggerName

        public java.lang.String getLoggerName()
        Specified by:
        getLoggerName in interface org.api4.java.common.control.ILoggingCustomizable

      • setLoggerName

        public void setLoggerName​(java.lang.String name)
        Specified by:
        setLoggerName in interface org.api4.java.common.control.ILoggingCustomizable

      • getRequestedInterface

        public java.lang.String getRequestedInterface()
        Specified by:
        getRequestedInterface in interface IMLPlanBuilder<L extends org.api4.java.ai.ml.core.learner.ISupervisedLearner<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>>,​B extends AbstractMLPlanBuilder<L,​B>>

      • getSearchSelectionDatasetSplitter

        public org.api4.java.ai.ml.core.dataset.splitter.IFoldSizeConfigurableRandomDatasetSplitter<org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>> getSearchSelectionDatasetSplitter()
        Description copied from interface: IMLPlanBuilder
        This is the splitter that splits the given input data into data for the search phase and for the selection phase
        Specified by:
        getSearchSelectionDatasetSplitter in interface IMLPlanBuilder<L extends org.api4.java.ai.ml.core.learner.ISupervisedLearner<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>>,​B extends AbstractMLPlanBuilder<L,​B>>
        Returns:

      • getSearchSpaceConfigFile

        public java.io.File getSearchSpaceConfigFile()
        Specified by:
        getSearchSpaceConfigFile in interface IMLPlanBuilder<L extends org.api4.java.ai.ml.core.learner.ISupervisedLearner<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>>,​B extends AbstractMLPlanBuilder<L,​B>>

      • getAlgorithmConfig

        public MLPlanClassifierConfig getAlgorithmConfig()
        Specified by:
        getAlgorithmConfig in interface IMLPlanBuilder<L extends org.api4.java.ai.ml.core.learner.ISupervisedLearner<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>>,​B extends AbstractMLPlanBuilder<L,​B>>

      • prepareNodeEvaluatorInFactoryWithData

        public void prepareNodeEvaluatorInFactoryWithData()

      • withPortionOfDataReservedForSelection

        public B withPortionOfDataReservedForSelection​(double value)

      • getPortionOfDataReservedForSelectionPhase

        public double getPortionOfDataReservedForSelectionPhase()
        Specified by:
        getPortionOfDataReservedForSelectionPhase in interface IMLPlanBuilder<L extends org.api4.java.ai.ml.core.learner.ISupervisedLearner<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>>,​B extends AbstractMLPlanBuilder<L,​B>>

      • build

        public MLPlan<L> build​(org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<?> dataset)
        Builds an ML-Plan object for the given dataset as input.
        Parameters:
        dataset - The dataset for which an ML-Plan object is to be built.
        Returns:
        The ML-Plan object configured with this builder.

      • checkPreconditionsForInitialization

        public void checkPreconditionsForInitialization()

      • build

        public MLPlan<L> build()
        Builds an ML-Plan object with the dataset provided earlier to this builder.
        Returns:
        The ML-Plan object configured with this builder.