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weka.associations.*
weka.attributeSelection.*
weka.classifiers.*
weka.clusterers.*
weka.core.*
weka.datagenerators.*
weka.deduping.*
weka.experiment.*
weka.extraction.*
weka.filters.*
weka.gui.*

weka.associations.*

weka.associations.Apriori
`protected static final int`	`CONFIDENCE`	`0`
`protected static final int`	`CONVICTION`	`3`
`protected static final int`	`LEVERAGE`	`2`
`protected static final int`	`LIFT`	`1`

weka.attributeSelection.*

weka.attributeSelection.MatlabICA
`public static final int`	`APPROACH_DEFL`	`1`
`public static final int`	`APPROACH_SYMM`	`0`
`public static final int`	`FUNCTION_GAUSS`	`1`
`public static final int`	`FUNCTION_POW3`	`2`
`public static final int`	`FUNCTION_SKEW`	`3`
`public static final int`	`FUNCTION_TANH`	`0`

weka.classifiers.*

weka.classifiers.bayes.NaiveBayes
`protected static final double`	`DEFAULT_NUM_PRECISION`	`0.01d`

weka.classifiers.bayes.Scoreable
`public static final int`	`AIC`	`3`
`public static final int`	`BAYES`	`0`
`public static final int`	`ENTROPY`	`2`
`public static final int`	`MDL`	`1`

weka.classifiers.evaluation.CostCurve
`public static final java.lang.String`	`NORM_EXPECTED_COST_NAME`	`"Normalized Expected Cost"`
`public static final java.lang.String`	`PROB_COST_FUNC_NAME`	`"Probability Cost Function"`
`public static final java.lang.String`	`RELATION_NAME`	`"CostCurve"`
`public static final java.lang.String`	`THRESHOLD_NAME`	`"Threshold"`

weka.classifiers.evaluation.ThresholdCurve
`public static final java.lang.String`	`FALLOUT_NAME`	`"Fallout"`
`public static final java.lang.String`	`FALSE_NEG_NAME`	`"False Negatives"`
`public static final java.lang.String`	`FALSE_POS_NAME`	`"False Positives"`
`public static final java.lang.String`	`FMEASURE_NAME`	`"FMeasure"`
`public static final java.lang.String`	`FP_RATE_NAME`	`"False Positive Rate"`
`public static final java.lang.String`	`PRECISION_NAME`	`"Precision"`
`public static final java.lang.String`	`RECALL_NAME`	`"Recall"`
`public static final java.lang.String`	`RELATION_NAME`	`"ThresholdCurve"`
`public static final java.lang.String`	`THRESHOLD_NAME`	`"Threshold"`
`public static final java.lang.String`	`TP_RATE_NAME`	`"True Positive Rate"`
`public static final java.lang.String`	`TRUE_NEG_NAME`	`"True Negatives"`
`public static final java.lang.String`	`TRUE_POS_NAME`	`"True Positives"`

weka.classifiers.functions.LinearRegression
`public static final int`	`SELECTION_GREEDY`	`2`
`public static final int`	`SELECTION_M5`	`0`
`public static final int`	`SELECTION_NONE`	`1`

weka.classifiers.functions.SMO
`public static final int`	`FILTER_NONE`	`2`
`public static final int`	`FILTER_NORMALIZE`	`0`
`public static final int`	`FILTER_STANDARDIZE`	`1`

weka.classifiers.functions.neural.NeuralConnection
`public static final int`	`CONNECTED`	`16`
`public static final int`	`INPUT`	`4`
`public static final int`	`OUTPUT`	`8`
`public static final int`	`PURE_INPUT`	`1`
`public static final int`	`PURE_OUTPUT`	`2`
`public static final int`	`UNCONNECTED`	`0`

weka.classifiers.functions.pace.Maths
`public static final int`	`chisqDistribution`	`2`
`public static final double`	`logPSI`	`-0.9189385332046727d`
`public static final int`	`normalDistribution`	`1`
`public static final double`	`PSI`	`0.3989422804014327d`
`public static final int`	`undefinedDistribution`	`0`

weka.classifiers.functions.pace.MixtureDistribution
`public static final int`	`NNMMethod`	`1`
`public static final int`	`PMMethod`	`2`

weka.classifiers.lazy.IBk
`public static final int`	`WEIGHT_INVERSE`	`2`
`public static final int`	`WEIGHT_NONE`	`1`
`public static final int`	`WEIGHT_SIMILARITY`	`4`

weka.classifiers.lazy.LBR
`protected static final double`	`SIGNLOWER`	`0.05d`

weka.classifiers.lazy.LWR
`protected static final int`	`GAUSS`	`2`
`protected static final int`	`INVERSE`	`1`
`protected static final int`	`LINEAR`	`0`

weka.classifiers.lazy.kstar.KStarConstants
`public static final int`	`B_ENTROPY`	`2`
`public static final int`	`B_SPHERE`	`1`
`public static final double`	`EPSILON`	`1.0E-5d`
`public static final double`	`FLOOR`	`0.0d`
`public static final double`	`FLOOR1`	`0.1d`
`public static final double`	`INITIAL_STEP`	`0.05d`
`public static final double`	`LOG2`	`0.693147181d`
`public static final int`	`M_AVERAGE`	`4`
`public static final int`	`M_DELETE`	`1`
`public static final int`	`M_MAXDIFF`	`2`
`public static final int`	`M_NORMAL`	`3`
`public static final int`	`NUM_RAND_COLS`	`5`
`public static final int`	`OFF`	`0`
`public static final int`	`ON`	`1`
`public static final double`	`ROOT_FINDER_ACCURACY`	`0.01d`
`public static final int`	`ROOT_FINDER_MAX_ITER`	`40`

weka.classifiers.meta.CostSensitiveClassifier
`public static final int`	`MATRIX_ON_DEMAND`	`1`
`public static final int`	`MATRIX_SUPPLIED`	`2`

weka.classifiers.meta.LogitBoost
`protected static final double`	`Z_MAX`	`3.0d`

weka.classifiers.meta.MetaCost
`public static final int`	`MATRIX_ON_DEMAND`	`1`
`public static final int`	`MATRIX_SUPPLIED`	`2`

weka.classifiers.meta.MultiClassClassifier
`public static final int`	`METHOD_1_AGAINST_1`	`3`
`public static final int`	`METHOD_1_AGAINST_ALL`	`0`
`public static final int`	`METHOD_ERROR_EXHAUSTIVE`	`2`
`public static final int`	`METHOD_ERROR_RANDOM`	`1`

weka.classifiers.meta.RacedIncrementalLogitBoost
`public static final int`	`PRUNETYPE_LOGLIKELIHOOD`	`1`
`public static final int`	`PRUNETYPE_NONE`	`0`
`protected static final double`	`Z_MAX`	`4.0d`

weka.classifiers.meta.ThresholdSelector
`public static final int`	`EVAL_CROSS_VALIDATION`	`0`
`public static final int`	`EVAL_TRAINING_SET`	`2`
`public static final int`	`EVAL_TUNED_SPLIT`	`1`
`protected static final double`	`MIN_VALUE`	`0.05d`
`public static final int`	`OPTIMIZE_0`	`0`
`public static final int`	`OPTIMIZE_1`	`1`
`public static final int`	`OPTIMIZE_LFREQ`	`2`
`public static final int`	`OPTIMIZE_MFREQ`	`3`
`public static final int`	`OPTIMIZE_POS_NAME`	`4`
`public static final int`	`RANGE_BOUNDS`	`1`
`public static final int`	`RANGE_NONE`	`0`

weka.classifiers.sparse.IBkMetric
`public static final int`	`WEIGHT_INVERSE`	`2`
`public static final int`	`WEIGHT_NONE`	`1`
`public static final int`	`WEIGHT_SIMILARITY`	`4`

weka.classifiers.sparse.SVMlight
`public static final int`	`KERNEL_LINEAR`	`1`
`public static final int`	`KERNEL_POLYNOMIAL`	`2`
`public static final int`	`KERNEL_RBF`	`4`
`public static final int`	`KERNEL_SIGMOID_TANH`	`8`
`public static final int`	`SVM_MODE_CLASSIFICATION`	`1`
`public static final int`	`SVM_MODE_PREFERENCE_RANKING`	`4`
`public static final int`	`SVM_MODE_REGRESSION`	`2`

weka.classifiers.trees.adtree.ADTree
`public static final int`	`SEARCHPATH_ALL`	`0`
`public static final int`	`SEARCHPATH_HEAVIEST`	`1`
`public static final int`	`SEARCHPATH_RANDOM`	`3`
`public static final int`	`SEARCHPATH_ZPURE`	`2`

weka.clusterers.*

weka.clusterers.HAC
`public static final int`	`COMPLETE_LINK`	`1`
`public static final int`	`GROUP_AVERAGE`	`2`
`public static final int`	`SINGLE_LINK`	`0`

weka.clusterers.InstancePair
`public static final int`	`CANNOT_LINK`	`31`
`public static final int`	`DONT_CARE_LINK`	`37`
`public static final int`	`MUST_LINK`	`29`

weka.clusterers.MPCKMeans
`public static final int`	`ALGORITHM_SIMPLE`	`1`
`public static final int`	`ALGORITHM_SPHERICAL`	`2`
`public static final int`	`TRAINING_EXTERNAL`	`2`
`public static final int`	`TRAINING_INTERNAL`	`4`
`public static final int`	`TRAINING_NONE`	`1`

weka.clusterers.PCKMeans
`public static final int`	`ALGORITHM_SIMPLE`	`1`
`public static final int`	`ALGORITHM_SPHERICAL`	`2`
`protected static final int`	`m_MaxConstraintsAllowed`	`10000`
`public static final int`	`ORDERING_DEFAULT`	`1`
`public static final int`	`ORDERING_RANDOM`	`2`
`public static final int`	`ORDERING_SORTED`	`3`

weka.clusterers.PCSoftKMeans
`public static final int`	`ALGORITHM_SIMPLE`	`1`
`public static final int`	`ALGORITHM_SPHERICAL`	`2`
`protected static final int`	`m_MaxConstraintsAllowed`	`10000`

weka.clusterers.SeededKMeans
`public static final int`	`ALGORITHM_SIMPLE`	`1`
`public static final int`	`ALGORITHM_SPHERICAL`	`2`
`public static final int`	`SEEDING_CONSTRAINED`	`1`
`public static final int`	`SEEDING_SEEDED`	`2`

weka.clusterers.assigners.LPAssigner
`public static final int`	`ENGINE_JMATLINK`	`1`
`public static final int`	`ENGINE_MATLAB`	`4`
`public static final int`	`ENGINE_OCTAVE`	`2`
`public static final int`	`ENGINE_TOMLAB`	`8`

weka.core.*

weka.core.Attribute
`public static final int`	`DATE`	`3`
`public static final int`	`NOMINAL`	`1`
`public static final int`	`NUMERIC`	`0`
`public static final int`	`ORDERING_MODULO`	`2`
`public static final int`	`ORDERING_ORDERED`	`1`
`public static final int`	`ORDERING_SYMBOLIC`	`0`
`public static final int`	`STRING`	`2`

weka.core.DistanceFunction
`protected static final int`	`R_MAX`	`1`
`protected static final int`	`R_MIN`	`0`
`protected static final int`	`R_WIDTH`	`2`

weka.core.Instance
`protected static final double`	`MISSING_VALUE`	`0d/0d`

weka.core.Statistics
`protected static final double`	`big`	`4.503599627370496E15d`
`protected static final double`	`biginv`	`2.220446049250313E-16d`
`protected static final double`	`LOGPI`	`1.1447298858494002d`
`protected static final double`	`MACHEP`	`1.1102230246251565E-16d`
`protected static final double`	`MAXGAM`	`171.6243769563027d`
`protected static final double`	`MAXLOG`	`709.782712893384d`
`protected static final double`	`MINLOG`	`-745.1332191019412d`
`protected static final double`	`SQRTH`	`0.7071067811865476d`
`protected static final double`	`SQTPI`	`2.5066282746310007d`

weka.core.converters.AbstractLoader
`protected static final int`	`BATCH`	`1`
`protected static final int`	`INCREMENTAL`	`2`
`protected static final int`	`NONE`	`0`

weka.core.metrics.BarHillelMetric
`public static final int`	`CONVERSION_EXPONENTIAL`	`4`
`public static final int`	`CONVERSION_LAPLACIAN`	`1`
`public static final int`	`CONVERSION_UNIT`	`2`

weka.core.metrics.BarHillelMetricMatlab
`public static final int`	`CONVERSION_EXPONENTIAL`	`4`
`public static final int`	`CONVERSION_LAPLACIAN`	`1`
`public static final int`	`CONVERSION_UNIT`	`2`

weka.core.metrics.HardPairwiseSelector
`public static final int`	`PAIRS_EASIEST`	`4`
`public static final int`	`PAIRS_HARDEST`	`2`
`public static final int`	`PAIRS_INTERVAL`	`8`
`public static final int`	`PAIRS_RANDOM`	`1`

weka.core.metrics.KL
`public static final int`	`CONVERSION_EXPONENTIAL`	`4`
`public static final int`	`CONVERSION_LAPLACIAN`	`1`
`public static final int`	`CONVERSION_UNIT`	`2`
`public static final int`	`SMOOTHING_DIRICHLET`	`2`
`public static final int`	`SMOOTHING_JELINEK_MERCER`	`4`
`public static final int`	`SMOOTHING_UNSMOOTHED`	`1`

weka.core.metrics.WeightedDotP
`public static final int`	`CONVERSION_EXPONENTIAL`	`4`
`public static final int`	`CONVERSION_LAPLACIAN`	`1`
`public static final int`	`CONVERSION_UNIT`	`2`

weka.core.metrics.WeightedEuclidean
`public static final int`	`CONVERSION_EXPONENTIAL`	`4`
`public static final int`	`CONVERSION_LAPLACIAN`	`1`
`public static final int`	`CONVERSION_UNIT`	`2`

weka.core.metrics.WeightedMahalanobis
`public static final int`	`CONVERSION_EXPONENTIAL`	`4`
`public static final int`	`CONVERSION_LAPLACIAN`	`1`
`public static final int`	`CONVERSION_UNIT`	`2`

weka.core.metrics.XingMetric
`public static final int`	`CONVERSION_EXPONENTIAL`	`4`
`public static final int`	`CONVERSION_LAPLACIAN`	`1`
`public static final int`	`CONVERSION_UNIT`	`2`

weka.datagenerators.*

weka.datagenerators.BIRCHCluster
`public static final int`	`GRID`	`0`
`public static final int`	`ORDERED`	`0`
`public static final int`	`RANDOM`	`2`
`public static final int`	`RANDOMIZED`	`1`
`public static final int`	`SINE`	`1`

weka.deduping.*

weka.deduping.PairwiseSelector
`public static final int`	`NEG_MODE_IMPLICIT_NEGATIVES`	`4`
`public static final int`	`NEG_MODE_RANDOM_NEGATIVES`	`2`
`public static final int`	`NEG_MODE_RANDOM_RECORDS`	`1`
`public static final int`	`POS_MODE_RANDOM_POSITIVES`	`2`
`public static final int`	`POS_MODE_RANDOM_RECORDS`	`1`
`public static final int`	`POS_MODE_STATIC_ACTIVE`	`4`
`public static final int`	`STRING_PAIRS_EASIEST`	`4`
`public static final int`	`STRING_PAIRS_HARDEST`	`2`
`public static final int`	`STRING_PAIRS_RANDOM`	`1`

weka.deduping.metrics.AffineMetric
`public static final int`	`CONVERSION_EXPONENTIAL`	`4`
`public static final int`	`CONVERSION_LAPLACIAN`	`1`
`public static final int`	`CONVERSION_UNIT`	`2`

weka.deduping.metrics.AffineProbMetric
`protected final char`	`blank`	`0`
`public static final int`	`CONVERSION_EXPONENTIAL`	`4`
`public static final int`	`CONVERSION_LAPLACIAN`	`1`
`public static final int`	`CONVERSION_UNIT`	`2`

weka.deduping.metrics.JaccardMetric
`public static final int`	`CONVERSION_EXPONENTIAL`	`4`
`public static final int`	`CONVERSION_LAPLACIAN`	`1`
`public static final int`	`CONVERSION_UNIT`	`2`

weka.deduping.metrics.KernelVSMetric
`public static final int`	`CONVERSION_EXPONENTIAL`	`4`
`public static final int`	`CONVERSION_LAPLACIAN`	`1`
`public static final int`	`CONVERSION_UNIT`	`2`

weka.deduping.metrics.VectorSpaceMetric
`public static final int`	`CONVERSION_EXPONENTIAL`	`4`
`public static final int`	`CONVERSION_LAPLACIAN`	`1`
`public static final int`	`CONVERSION_UNIT`	`2`

weka.experiment.*

weka.experiment.DatabaseUtils
`public static final java.lang.String`	`EXP_INDEX_TABLE`	`"Experiment_index"`
`public static final java.lang.String`	`EXP_RESULT_COL`	`"Result_table"`
`public static final java.lang.String`	`EXP_RESULT_PREFIX`	`"Results"`
`public static final java.lang.String`	`EXP_SETUP_COL`	`"Experiment_setup"`
`public static final java.lang.String`	`EXP_TYPE_COL`	`"Experiment_type"`

weka.experiment.DedupingPRCurveCVResultProducer
`public static final int`	`FOLD_CREATION_MODE_RANDOM`	`2`
`public static final int`	`FOLD_CREATION_MODE_STRATIFIED`	`1`

weka.experiment.DedupingPRCurveCVResultProducerSplit
`public static final int`	`FOLD_CREATION_MODE_RANDOM`	`2`
`public static final int`	`FOLD_CREATION_MODE_STRATIFIED`	`1`

weka.experiment.RemoteExperiment
`protected static final int`	`AVAILABLE`	`0`
`protected static final int`	`CONNECTION_FAILED`	`2`
`protected static final int`	`IN_USE`	`1`
`protected static final int`	`MAX_FAILURES`	`3`
`protected static final int`	`SOME_OTHER_FAILURE`	`3`

weka.experiment.TaskStatusInfo
`public static final int`	`FAILED`	`2`
`public static final int`	`FINISHED`	`3`
`public static final int`	`PROCESSING`	`1`
`public static final int`	`TO_BE_RUN`	`0`

weka.extraction.*

weka.extraction.ClusteringExtractor
`public static final int`	`MODE_DOCUMENT_CLUSTERS`	`1`
`public static final int`	`MODE_MIXED`	`4`
`public static final int`	`MODE_SEGMENT_CLUSTERS`	`2`

weka.filters.*

weka.filters.supervised.attribute.ClassOrder
`public static final int`	`FREQ_ASCEND`	`0`
`public static final int`	`FREQ_DESCEND`	`1`
`public static final int`	`RANDOM`	`2`

weka.gui.*

weka.gui.AttributeSummaryPanel
`protected static final java.lang.String`	`NO_SOURCE`	`"None"`

weka.gui.InstancesSummaryPanel
`protected static final java.lang.String`	`NO_SOURCE`	`"None"`

weka.gui.ListSelectorDialog
`public static final int`	`APPROVE_OPTION`	`0`
`public static final int`	`CANCEL_OPTION`	`1`

weka.gui.PropertySelectorDialog
`public static final int`	`APPROVE_OPTION`	`0`
`public static final int`	`CANCEL_OPTION`	`1`

weka.gui.beans.BeanInstance
`public static final int`	`BEAN_EXECUTING`	`1`
`public static final int`	`IDLE`	`0`

weka.gui.beans.BeanVisual
`public static final int`	`EAST_CONNECTOR`	`2`
`public static final java.lang.String`	`ICON_PATH`	`"weka/gui/beans/icons/"`
`public static final int`	`NORTH_CONNECTOR`	`0`
`public static final int`	`SOUTH_CONNECTOR`	`1`
`public static final int`	`WEST_CONNECTOR`	`3`

weka.gui.beans.IncrementalClassifierEvent
`public static final int`	`BATCH_FINISHED`	`2`
`public static final int`	`NEW_BATCH`	`1`
`public static final int`	`WITHIN_BATCH`	`0`

weka.gui.beans.InstanceEvent
`public static final int`	`BATCH_FINISHED`	`2`
`public static final int`	`FORMAT_AVAILABLE`	`0`
`public static final int`	`INSTANCE_AVAILABLE`	`1`

weka.gui.beans.KnowledgeFlow
`protected static final int`	`ADDING`	`3`
`protected static final int`	`CONNECTING`	`2`
`protected static final int`	`MOVING`	`1`
`protected static final int`	`NONE`	`0`

weka.gui.experiment.ResultsPanel
`protected static final java.lang.String`	`NO_SOURCE`	`"No source"`

weka.gui.experiment.RunPanel
`protected static final java.lang.String`	`NOT_RUNNING`	`"Not running"`

weka.gui.streams.InstanceEvent
`public static final int`	`BATCH_FINISHED`	`3`
`public static final int`	`FORMAT_AVAILABLE`	`1`
`public static final int`	`INSTANCE_AVAILABLE`	`2`

weka.gui.treevisualizer.TreeDisplayEvent
`public static final int`	`ACCEPT`	`3`
`public static final int`	`ADD_CHILDREN`	`1`
`public static final int`	`CLASSIFY_CHILD`	`4`
`public static final int`	`NO_COMMAND`	`0`
`public static final int`	`REMOVE_CHILDREN`	`2`
`public static final int`	`SEND_INSTANCES`	`5`

weka.gui.visualize.Plot2D
`public static final int`	`CONST_AUTOMATIC_SHAPE`	`-1`
`public static final int`	`DEFAULT_SHAPE_SIZE`	`2`
`public static final int`	`DIAMOND_SHAPE`	`2`
`public static final int`	`ERROR_SHAPE`	`1000`
`public static final int`	`MAX_SHAPES`	`5`
`public static final int`	`MISSING_SHAPE`	`2000`
`public static final int`	`PLUS_SHAPE`	`1`
`public static final int`	`TRIANGLEDOWN_SHAPE`	`4`
`public static final int`	`TRIANGLEUP_SHAPE`	`3`
`public static final int`	`X_SHAPE`	`0`