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, ClassOrder, ClusterMembership, Cobweb, Copy, CorrelationAttributeEval, CostSensitiveClassifier, CVParameterSelection, DecisionStump, DecisionTable, Discretize, Discretize, EditableBayesNet, EM, FarthestFirst, Filter, FilteredAssociator, FilteredClassifier, FilteredClusterer, FirstOrder, FixedDictionaryStringToWordVector, FPGrowth, GainRatioAttributeEval, GaussianProcesses, GeneralRegression, HierarchicalClusterer, HoeffdingTree, HoldOutSubsetEvaluator, IBk, InfoGainAttributeEval, InputMappedClassifier, InterquartileRange, IteratedSingleClassifierEnhancer, IterativeClassifierOptimizer, J48, JRip, KernelFilter, KStar, LinearRegression, 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, NumericToNominal, NumericTransform, Obfuscate, OneR, OneRAttributeEval, 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, 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, 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 and 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 Detail

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