Package weka.core

Interface CommandlineRunnable

All Known Implementing Classes:
AbstractAssociator, AbstractClassifier, AbstractClusterer, AbstractDensityBasedClusterer, AbstractTimeSeries, AdaBoostM1, Add, AddClassification, AddCluster, AddExpression, AddID, AdditiveRegression, AddNoise, AddUserFields, AddValues, AllFilter, Apriori, ASEvaluation, AttributeSelectedClassifier, AttributeSelection, AttributeSetEvaluator, Bagging, BayesNet, BayesNetGenerator, BIFReader, Canopy, CartesianProduct, Center, CfsSubsetEval, ChangeDateFormat, ClassAssigner, ClassBalancer, ClassConditionalProbabilities, ClassificationViaRegression, ClassifierAttributeEval, ClassifierSubsetEval, ClassOrder, ClusterMembership, Cobweb, Copy, CorrelationAttributeEval, CostSensitiveClassifier, CVParameterSelection, DateToNumeric, DecisionStump, DecisionTable, Discretize, Discretize, EditableBayesNet, EM, FarthestFirst, Filter, FilteredAssociator, FilteredClassifier, FilteredClusterer, FindWithCapabilities, FirstOrder, FixedDictionaryStringToWordVector, FlowRunner, FPGrowth, GainRatioAttributeEval, GaussianProcesses, GeneralRegression, HierarchicalClusterer, HoeffdingTree, HoldOutSubsetEvaluator, IBk, InfoGainAttributeEval, InputMappedClassifier, InterquartileRange, IteratedSingleClassifierEnhancer, IterativeClassifierOptimizer, J48, JRip, KernelFilter, KStar, LinearRegression, ListOptions, LMT, LMTNode, Logistic, LogisticBase, LogitBoost, LWL, M5Base, M5P, M5Rules, MakeDensityBasedClusterer, MakeIndicator, MathExpression, MergeInfrequentNominalValues, MergeManyValues, MergeNominalValues, MergeTwoValues, MultiClassClassifier, MultiClassClassifierUpdateable, MultiFilter, MultilayerPerceptron, MultipleClassifiersCombiner, MultiScheme, NaiveBayes, NaiveBayesMultinomial, NaiveBayesMultinomialText, NaiveBayesMultinomialUpdateable, NaiveBayesUpdateable, NeuralNetwork, NominalToBinary, NominalToBinary, NominalToString, NonSparseToSparse, Normalize, NumericCleaner, NumericToBinary, NumericToDate, NumericToNominal, NumericTransform, Obfuscate, OneR, OneRAttributeEval, OrdinalToNumeric, ParallelIteratedSingleClassifierEnhancer, ParallelMultipleClassifiersCombiner, PART, PartitionedMultiFilter, PartitionMembership, PKIDiscretize, PMMLClassifier, PotentialClassIgnorer, PreConstructedLinearModel, PrincipalComponents, PrincipalComponents, RandomCommittee, RandomForest, RandomizableClassifier, RandomizableClusterer, RandomizableDensityBasedClusterer, RandomizableFilteredClassifier, RandomizableIteratedSingleClassifierEnhancer, RandomizableMultipleClassifiersCombiner, RandomizableParallelIteratedSingleClassifierEnhancer, RandomizableParallelMultipleClassifiersCombiner, RandomizableSingleClassifierEnhancer, RandomizableSingleClustererEnhancer, Randomize, RandomProjection, RandomSubset, RandomSubSpace, RandomTree, Regression, RegressionByDiscretization, ReliefFAttributeEval, Remove, RemoveByName, RemoveDuplicates, RemoveFolds, RemoveFrequentValues, RemoveMisclassified, RemovePercentage, RemoveRange, RemoveType, RemoveUseless, RemoveWithValues, RenameAttribute, RenameNominalValues, RenameRelation, Reorder, ReplaceMissingValues, ReplaceMissingWithUserConstant, ReplaceWithMissingValue, REPTree, Resample, Resample, ReservoirSample, RuleNode, RuleSetModel, SerializedClassifier, SGD, SGDText, SimpleBatchFilter, SimpleFilter, SimpleKMeans, SimpleLinearRegression, SimpleLogistic, SimpleStreamFilter, SingleAssociatorEnhancer, SingleClassifierEnhancer, SingleClustererEnhancer, SMO, SMOreg, SortLabels, SparseToNonSparse, SpreadSubsample, Stacking, Standardize, StepInjectorFlowRunner, StratifiedRemoveFolds, StringToNominal, StringToWordVector, SubsetByExpression, SupportVectorMachineModel, SwapValues, SymmetricalUncertAttributeEval, TextDirectoryLoader, TimeSeriesDelta, TimeSeriesTranslate, Transpose, TreeModel, UnsupervisedAttributeEvaluator, UnsupervisedSubsetEvaluator, Vote, VotedPerceptron, WeightedInstancesHandlerWrapper, WrapperSubsetEval, ZeroR
public interface CommandlineRunnable
Interface to something that can be run from the command line.
Version:
$Revision: 12184 $
Author:
Mark Hall (mhall{[at]}pentaho{[dot]}com)

  • Method Summary

    Modifier and Type
    Method
    Description
    void
    postExecution()
    Perform any teardown stuff that might need to happen after execution.
    void
    preExecution()
    Perform any setup stuff that might need to happen before execution.
    void
    run(Object toRun, String[] options)
    Execute the supplied object.

  • Method Details

    • preExecution

      void preExecution() throws Exception
      Perform any setup stuff that might need to happen before execution.
      Throws:
      Exception - if a problem occurs during setup

    • run

      void run(Object toRun, String[] options) throws Exception
      Execute the supplied object.
      Parameters:
      toRun - the object to execute
      options - any options to pass to the object
      Throws:
      Exception - if a problem occurs.

    • postExecution

      void postExecution() throws Exception
      Perform any teardown stuff that might need to happen after execution.
      Throws:
      Exception - if a problem occurs during teardown