| Name | Description | Type | Package | Framework | JavaDoc | 
| MethodFunction | A XEL function based on java. | Class | org.zkoss.xel.util | ZKoss (ZK) | javadoc | 
| AggregateFunctionImpl | The class should implement A init(), A add(A, V), and R result(A) methods. | Class | org.apache.calcite.schema.impl | Calcite | javadoc | 
| MaterializedViewTable.MaterializedViewTableMacro | Table function that returns the table that materializes a view. | Class | org.apache.calcite.schema.impl.MaterializedViewTable | Calcite | javadoc | 
| ReflectiveFunctionBase | This class mainly solves conversion of method parameter types to List form. | Class | org.apache.calcite.schema.impl | Calcite | javadoc | 
| ScalarFunctionImpl |  | Class | org.apache.calcite.schema.impl | Calcite | javadoc | 
| SparkRuntime.CalciteFlatMapFunction | Combines linq4j Function and Spark FlatMapFunction. | Class | org.apache.calcite.adapter.spark.SparkRuntime | Calcite | javadoc | 
| SqlAdvisorGetHintsFunction | Table function that returns completion hints for a given SQL statement. | Class | org.apache.calcite.sql.advise | Calcite | javadoc | 
| TableFunctionImpl |  | Class | org.apache.calcite.schema.impl | Calcite | javadoc | 
| TableMacroImpl |  | Class | org.apache.calcite.schema.impl | Calcite | javadoc | 
| BaseFunction |  | Class | storm.trident.operation | Apache Storm | javadoc | 
| CombinerAggregatorInitImpl |  | Class | storm.trident.operation.impl | Apache Storm | javadoc | 
| FilterExecutor |  | Class | storm.trident.operation.impl | Apache Storm | javadoc | 
| Split |  | Class | storm.trident.testing | Apache Storm | javadoc | 
| StringLength |  | Class | storm.trident.testing | Apache Storm | javadoc | 
| TridentReach.ExpandList |  | Class | storm.starter.trident.TridentReach | Apache Storm | javadoc | 
| TridentWordCount.Split |  | Class | storm.starter.trident.TridentWordCount | Apache Storm | javadoc | 
| TuplifyArgs |  | Class | storm.trident.testing | Apache Storm | javadoc | 
| AggregateBy.CompositeFunction | See Also:AggregateBy. | Class | cascading.pipe.assembly.AggregateBy | Cascading | javadoc | 
| DateFormatter | is the number of milliseconds since January 1, 1970, 00:00:00 GMT,  using the SimpleDateFormat syntax. | Class | cascading.operation.text | Cascading | javadoc | 
| DateParser | since January 1, 1970, 00:00:00 GMT, using the SimpleDateFormat syntax. | Class | cascading.operation.text | Cascading | javadoc | 
| ExpressionFunction | is based on the Janino compiler. | Class | cascading.operation.expression | Cascading | javadoc | 
| FieldFormatter | This function uses the Formatter class for formatting the argument tuple values into a new string. | Class | cascading.operation.text | Cascading | javadoc | 
| FieldJoiner |  | Class | cascading.operation.text | Cascading | javadoc | 
| Identity | The Identity function simply passes incoming arguments back out again. | Class | cascading.operation | Cascading | javadoc | 
| 
 
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| Insert |  | Class | cascading.operation | Cascading | javadoc | 
| NoOp | Use with Fields. | Class | cascading.operation | Cascading | javadoc | 
| RegexGenerator | Note a null valued argument passed to the parser will be converted to an empty string ("") before the regex is applied. | Class | cascading.operation.regex | Cascading | javadoc | 
| RegexParser | RegexParser only expects one field value. | Class | cascading.operation.regex | Cascading | javadoc | 
| RegexReplace | RegexReplace only expects one field value. | Class | cascading.operation.regex | Cascading | javadoc | 
| RegexSplitGenerator | Class RegexGenerator will emit a new Tuple for every split on the incoming argument value delimited by the given patternString. | Class | cascading.operation.regex | Cascading | javadoc | 
| RegexSplitter | RegexSplitter only expects one field value. | Class | cascading.operation.regex | Cascading | javadoc | 
| ScriptFunction | This Function is based on the Janino compiler. | Class | cascading.operation.expression | Cascading | javadoc | 
| ScriptTupleFunction | This Function is based on the Janino compiler. | Class | cascading.operation.expression | Cascading | javadoc | 
| SetValue | of a given Filter operation. | Class | cascading.operation.function | Cascading | javadoc | 
| UnGroup | That is, for the given field positions, this function will emit a new Tuple for every value. | Class | cascading.operation.function | Cascading | javadoc | 
| AbstractCachingDiffFunction |  | Class | edu.stanford.nlp.optimization | Stanford Parser | javadoc | 
| AbstractSequenceClassifier | This class provides common functionality for (probabilistic) sequence models. | Class | edu.stanford.nlp.ie | Stanford Parser | javadoc | 
| AbstractStochasticCachingDiffFunction |  | Class | edu.stanford.nlp.optimization | Stanford Parser | javadoc | 
| AbstractStochasticCachingDiffUpdateFunction | Function for stochastic calculations that does update in place (instead of maintaining and returning the derivative). | Class | edu.stanford.nlp.optimization | Stanford Parser | javadoc | 
| AbstractTreebankParserParams.AnnotatePunctuationFunction | Annotation function for mapping punctuation to PTB-style equivalence classes. | Class | edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams | Stanford Parser | javadoc | 
| AdaptedGaussianPriorObjectiveFunction | Adapt the mean of the Gaussian Prior by shifting the mean to the previously trained weightsAuthor:Pi-Chuan Chang, Sarah Spikes (sdspikes@cs. | Class | edu.stanford.nlp.classify | Stanford Parser | javadoc | 
| Americanize | Takes a HasWord or String and returns an Americanized version of it. | Class | edu.stanford.nlp.process | Stanford Parser | javadoc | 
| AmericanizeFunction |  | Class | edu.stanford.nlp.process | Stanford Parser | javadoc | 
| BasicCategoryTreeTransformer | Transforms trees by turning the labels into their basic categories TreebankLanguagePack | Class | edu.stanford.nlp.trees | Stanford Parser | javadoc | 
| BiasedLogConditionalObjectiveFunction | Maximizes the conditional likelihood with a given prior. | Class | edu.stanford.nlp.classify | Stanford Parser | javadoc | 
| BiasedLogisticObjectiveFunction |  | Class | edu.stanford.nlp.classify | Stanford Parser | javadoc | 
| Buckwalter | This class can convert between Unicode and Buckwalter encodings of "MORPHOLOGICAL ANALYSIS & POS ANNOTATION," v3. | Class | edu.stanford.nlp.international.arabic | Stanford Parser | javadoc | 
| ChineseEscaper | An Escaper for Chinese normalization to match Treebank. | Class | edu.stanford.nlp.trees.international.pennchinese | Stanford Parser | javadoc | 
| ClassifierCombiner | Merges the outputs of two or more AbstractSequenceClassifiers according to a simple precedence scheme: any given base classifier contributes only | Class | edu.stanford.nlp.ie | Stanford Parser | javadoc | 
| 
 
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| CMMClassifier | Does Sequence Classification using a Conditional Markov Model. | Class | edu.stanford.nlp.ie.ner | Stanford Parser | javadoc | 
| CoreMapAggregator |  | Class | edu.stanford.nlp.pipeline | Stanford Parser | javadoc | 
| CoreMapNodePatternTrigger | Trigger for CoreMap Node Patterns. | Class | edu.stanford.nlp.ling.tokensregex | Stanford Parser | javadoc | 
| CRFBiasedClassifier | CRFBiasedClassifier is used to adjust the precision-recall tradeoff of any CRF model implemented using CRFClassifier. | Class | edu.stanford.nlp.ie.crf | Stanford Parser | javadoc | 
| CRFClassifier | Class for sequence classification using a Conditional Random Field model. | Class | edu.stanford.nlp.ie.crf | Stanford Parser | javadoc | 
| CRFClassifierFloat |  | Class | edu.stanford.nlp.ie.crf | Stanford Parser | javadoc | 
| CRFClassifierNoisyLabel |  | Class | edu.stanford.nlp.ie.crf | Stanford Parser | javadoc | 
| CRFClassifierNonlinear | Subclass of CRFClassifier for implementing the nonlinear architecture in [Wang and Manning IJCNLP-2013 Effect of Nonlinear . | Class | edu.stanford.nlp.ie.crf | Stanford Parser | javadoc | 
| CRFClassifierWithDropout | Subclass of CRFClassifier that performs dropout feature-noising training. | Class | edu.stanford.nlp.ie.crf | Stanford Parser | javadoc | 
| CRFClassifierWithLOP | Subclass of CRFClassifier for learning Logarithmic Opinion Pools. | Class | edu.stanford.nlp.ie.crf | Stanford Parser | javadoc | 
| CRFLogConditionalObjectiveFunction |  | Class | edu.stanford.nlp.ie.crf | Stanford Parser | javadoc | 
| CRFLogConditionalObjectiveFunctionForLOP | TODO(mengqiu) currently only works with disjoint feature sets for non-disjoint feature sets, need to recompute EHat each iteration, and multiply in the scale | Class | edu.stanford.nlp.ie.crf | Stanford Parser | javadoc | 
| CRFLogConditionalObjectiveFunctionNoisyLabel |  | Class | edu.stanford.nlp.ie.crf | Stanford Parser | javadoc | 
| CRFLogConditionalObjectiveFunctionWithDropout |  | Class | edu.stanford.nlp.ie.crf | Stanford Parser | javadoc | 
| CRFNonLinearLogConditionalObjectiveFunction |  | Class | edu.stanford.nlp.ie.crf | Stanford Parser | javadoc | 
| CRFNonLinearSecondOrderLogConditionalObjectiveFunction |  | Class | edu.stanford.nlp.ie.crf | Stanford Parser | javadoc | 
| DVParserCostAndGradient |  | Class | edu.stanford.nlp.parser.dvparser | Stanford Parser | javadoc | 
| GeneralizedExpectationObjectiveFunction | an I. | Class | edu.stanford.nlp.classify | Stanford Parser | javadoc | 
| IBMArabicEscaper | This escaper is intended for use on flat input to be parsed by LexicalizedParser. | Class | edu.stanford.nlp.international.arabic | Stanford Parser | javadoc | 
| IdentityFunction | An Identity function that returns its argument. | Class | edu.stanford.nlp.objectbank | Stanford Parser | javadoc | 
| LexicalizedParser | This class provides the top-level API and command-line interface to a set of reasonably good treebank-trained parsers. | Class | edu.stanford.nlp.parser.lexparser | Stanford Parser | javadoc | 
| LinearGrammarSmoother |  | Class | edu.stanford.nlp.parser.lexparser | Stanford Parser | javadoc | 
| LogConditionalEqConstraintFunction | Maximizes the conditional likelihood with a given prior. | Class | edu.stanford.nlp.classify | Stanford Parser | javadoc | 
| LogConditionalObjectiveFunction | Maximizes the conditional likelihood with a given prior. | Class | edu.stanford.nlp.classify | Stanford Parser | javadoc | 
| LogisticObjectiveFunction | Maximizes the conditional likelihood with a given prior. | Class | edu.stanford.nlp.classify | Stanford Parser | javadoc | 
| 
 
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| LowercaseAndAmericanizeFunction |  | Class | edu.stanford.nlp.process | Stanford Parser | javadoc | 
| LowercaseFunction |  | Class | edu.stanford.nlp.process | Stanford Parser | javadoc | 
| MatchedExpression.SingleAnnotationExtractor | Function that takes a CoreMap, applies a extraction function to it, to get a value Also contains information on how to construct a final annotation. | Class | edu.stanford.nlp.ling.tokensregex.MatchedExpression | Stanford Parser | javadoc | 
| MaxentTagger | The main class for users to run, train, and test the part of speech tagger. | Class | edu.stanford.nlp.tagger.maxent | Stanford Parser | javadoc | 
| Morphology | Morphology computes the base form of English words, by removing just inflections (not derivational morphology). | Class | edu.stanford.nlp.process | Stanford Parser | javadoc | 
| MultiClassPrecisionRecallExtendedStats.StringStringConverter |  | Class | edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats | Stanford Parser | javadoc | 
| MultiPatternMatcher.BasicSequencePatternTrigger | Simple SequencePatternTrigger that looks at each node, and identifies which   patterns may potentially match each node, and then aggregates (union) | Class | edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher | Stanford Parser | javadoc | 
| NERClassifierCombiner | Subclass of ClassifierCombiner that behaves like a NER, by copying the AnswerAnnotation labels to NERAnnotation. | Class | edu.stanford.nlp.ie | Stanford Parser | javadoc | 
| NumberSequenceClassifier | A set of deterministic rules for marking certain entities, to add categories and to correct for failures of statistical NER taggers. | Class | edu.stanford.nlp.ie.regexp | Stanford Parser | javadoc | 
| ObjectBank.PathToFileFunction | This is handy for having getLineIterator return a collection of files for feeding into another ObjectBank. | Class | edu.stanford.nlp.objectbank.ObjectBank | Stanford Parser | javadoc | 
| ParserGrammar | An interface for the classes which store the data for a parser. | Class | edu.stanford.nlp.parser.common | Stanford Parser | javadoc | 
| PTBEscapingProcessor | Produces a new Document of Words in which special characters of the PTB have been properly escaped. | Class | edu.stanford.nlp.process | Stanford Parser | javadoc | 
| RegexNERSequenceClassifier | A sequence classifier that labels tokens with types based on a simple manual mapping from regular expressions to the types of the entities they are meant to describe. | Class | edu.stanford.nlp.ie.regexp | Stanford Parser | javadoc | 
| ResultStoringMonitor |  | Class | edu.stanford.nlp.optimization | Stanford Parser | javadoc | 
| SemiSupervisedLogConditionalObjectiveFunction | Maximizes the conditional likelihood with a given prior. | Class | edu.stanford.nlp.classify | Stanford Parser | javadoc | 
| SentimentCostAndGradient |  | Class | edu.stanford.nlp.sentiment | Stanford Parser | javadoc | 
| SequenceMatchResult.GroupToIntervalFunc |  | Class | edu.stanford.nlp.ling.tokensregex.SequenceMatchResult | Stanford Parser | javadoc | 
| SequenceMatchRules.CoreMapFunctionApplier |  | Class | edu.stanford.nlp.ling.tokensregex.SequenceMatchRules | Stanford Parser | javadoc | 
| SequenceMatchRules.CoreMapToListFunctionApplier |  | Class | edu.stanford.nlp.ling.tokensregex.SequenceMatchRules | Stanford Parser | javadoc | 
| SequenceMatchRules.MultiSequencePatternExtractRule |  | Class | edu.stanford.nlp.ling.tokensregex.SequenceMatchRules | Stanford Parser | javadoc | 
| SequenceMatchRules.SequenceMatchedExpressionExtractor |  | Class | edu.stanford.nlp.ling.tokensregex.SequenceMatchRules | Stanford Parser | javadoc | 
| SequenceMatchRules.SequenceMatchResultExtractor |  | Class | edu.stanford.nlp.ling.tokensregex.SequenceMatchRules | Stanford Parser | javadoc | 
| SequenceMatchRules.SequencePatternExtractRule |  | Class | edu.stanford.nlp.ling.tokensregex.SequenceMatchRules | Stanford Parser | javadoc | 
| SequenceMatchRules.StringMatchedExpressionExtractor |  | Class | edu.stanford.nlp.ling.tokensregex.SequenceMatchRules | Stanford Parser | javadoc | 
| SequenceMatchRules.StringMatchResultExtractor |  | Class | edu.stanford.nlp.ling.tokensregex.SequenceMatchRules | Stanford Parser | javadoc | 
| 
 
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| SequenceMatchRules.StringPatternExtractRule |  | Class | edu.stanford.nlp.ling.tokensregex.SequenceMatchRules | Stanford Parser | javadoc | 
| ShiftReduceParser | A shift-reduce constituency parser. | Class | edu.stanford.nlp.parser.shiftreduce | Stanford Parser | javadoc | 
| Tagger | This module includes constants that are the same for all taggers, as opposed to being part of their configurations. | Class | edu.stanford.nlp.tagger.common | Stanford Parser | javadoc | 
| TimeFormatter.CustomDateFormatExtractor | 1. | Class | edu.stanford.nlp.time.TimeFormatter | Stanford Parser | javadoc | 
| TimeFormatter.JavaDateFormatExtractor |  | Class | edu.stanford.nlp.time.TimeFormatter | Stanford Parser | javadoc | 
| TimeFormatter.JodaDateTimeFormatExtractor |  | Class | edu.stanford.nlp.time.TimeFormatter | Stanford Parser | javadoc | 
| TregexPoweredTreebankParserParams.AnnotateHeadFunction | Annotate a tree constituent with its lexical head. | Class | edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams | Stanford Parser | javadoc | 
| TregexPoweredTreebankParserParams.SimpleStringFunction | Annotates all nodes that match the tregex query with some string. | Class | edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams | Stanford Parser | javadoc | 
| TrueCasingForNISTDocumentReaderAndWriter.LineToTrueCasesParser |  | Class | edu.stanford.nlp.sequences.TrueCasingForNISTDocumentReaderAndWriter | Stanford Parser | javadoc | 
| UTF8EquivalenceFunction |  | Class | edu.stanford.nlp.util | Stanford Parser | javadoc | 
| BinaryFunctionFunction | Adapts a BinaryFunction as a Function by sending the same argument to both sides of the BinaryFunction. | Class | org.apache.commons.functor.adapter | Apache Commons | javadoc | 
| CollectionTransformer | Transforms a generator into a collection. | Class | org.apache.commons.functor.generator.util | Apache Commons | javadoc | 
| CompositeFunction | representing the composition of chaining the output of one to the input | Class | org.apache.commons.functor.core.composite | Apache Commons | javadoc | 
| ConditionalFunction | similiar to Java's ternary or conditional operator (? :). | Class | org.apache.commons.functor.core.composite | Apache Commons | javadoc | 
| Constant | Evaluates to constant value. | Class | org.apache.commons.functor.core | Apache Commons | javadoc | 
| DoubleMaxAggregatorFunction | Aggregator function to be used with subclasses of AbstractListBackedAggregator | Class | org.apache.commons.functor.aggregator.functions | Apache Commons | javadoc | 
| DoubleMeanValueAggregatorFunction | Aggregator function to be used with subclasses of AbstractListBackedAggregator | Class | org.apache.commons.functor.aggregator.functions | Apache Commons | javadoc | 
| DoubleMedianValueAggregatorFunction | Aggregator function to be used with subclasses of AbstractListBackedAggregator | Class | org.apache.commons.functor.aggregator.functions | Apache Commons | javadoc | 
| DoublePercentileAggregatorFunction | Aggregator function to be used with subclasses of AbstractListBackedAggregator | Class | org.apache.commons.functor.aggregator.functions | Apache Commons | javadoc | 
| DoubleSumAggregatorFunction | Aggregator function to be used with subclasses of AbstractListBackedAggregator | Class | org.apache.commons.functor.aggregator.functions | Apache Commons | javadoc | 
| FoldLeft | Functional left-fold algorithm against the elements of a Generator. | Class | org.apache.commons.functor.core.algorithm | Apache Commons | javadoc | 
| FoldRight | Functional right-fold algorithm against the elements of a Generator. | Class | org.apache.commons.functor.core.algorithm | Apache Commons | javadoc | 
| Identity | Evaluates to its input argument. | Class | org.apache.commons.functor.core | Apache Commons | javadoc | 
| InPlaceTransform |  | Class | org.apache.commons.functor.core.algorithm | Apache Commons | javadoc | 
| IntegerMaxAggregatorFunction | Aggregator function to be used with subclasses of AbstractListBackedAggregator | Class | org.apache.commons.functor.aggregator.functions | Apache Commons | javadoc | 
| 
 
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| IntegerMeanValueAggregatorFunction | Aggregator function to be used with subclasses of AbstractListBackedAggregator | Class | org.apache.commons.functor.aggregator.functions | Apache Commons | javadoc | 
| IntegerMedianValueAggregatorFunction | Aggregator function to be used with subclasses of AbstractListBackedAggregator | Class | org.apache.commons.functor.aggregator.functions | Apache Commons | javadoc | 
| IntegerPercentileAggregatorFunction | Aggregator function to be used with subclasses of AbstractListBackedAggregator | Class | org.apache.commons.functor.aggregator.functions | Apache Commons | javadoc | 
| IntegerSumAggregatorFunction | Aggregator function to be used with subclasses of AbstractListBackedAggregator | Class | org.apache.commons.functor.aggregator.functions | Apache Commons | javadoc | 
| LeftBoundFunction | using a constant left-side argument. | Class | org.apache.commons.functor.adapter | Apache Commons | javadoc | 
| NullaryFunctionFunction | by ignoring the unary argument. | Class | org.apache.commons.functor.adapter | Apache Commons | javadoc | 
| PredicateFunction | Function interface. | Class | org.apache.commons.functor.adapter | Apache Commons | javadoc | 
| ProcedureFunction | by always returning null. | Class | org.apache.commons.functor.adapter | Apache Commons | javadoc | 
| RightBoundFunction | using a constant right-side argument. | Class | org.apache.commons.functor.adapter | Apache Commons | javadoc | 
| Size | Returns the size of the specified Collection, or the length of the specified array or String. | Class | org.apache.commons.functor.core.collection | Apache Commons | javadoc | 
| ConstructorFunction | An extension function that creates an instance using a constructor. | Class | org.apache.commons.jxpath.functions | Apache Commons | javadoc | 
| MethodFunction | An XPath extension function implemented as an individual Java method. | Class | org.apache.commons.jxpath.functions | Apache Commons | javadoc | 
| AbstractLoadingCache | This class provides a skeletal implementation of the Cache interface to minimize the effort required to implement this interface. | Class | com.google.common.cache | Google Guava | javadoc | 
| Converter | A function from A to B with an associated reverse function from B to A; used for converting back and forth between different representations of the same | Class | com.google.common.base | Google Guava | javadoc | 
| ForwardingLoadingCache | A cache which forwards all its method calls to another cache. | Class | com.google.common.cache | Google Guava | javadoc | 
| ForwardingLoadingCache.SimpleForwardingLoadingCache | A simplified version of ForwardingLoadingCache where subclasses can pass in an already constructed LoadingCache as the delegete. | Class | com.google.common.cache.ForwardingLoadingCache | Google Guava | javadoc | 
| NegLogLikelihood | Evaluate negative log-likelihood and its gradient from DataIndexer. | Class | opennlp.tools.ml.maxent.quasinewton | Natural Language Processing (OpenNLP) | javadoc | 
| ParallelNegLogLikelihood |  | Class | opennlp.tools.ml.maxent.quasinewton | Natural Language Processing (OpenNLP) | javadoc | 
| QNMinimizer.L2RegFunction |  | Class | opennlp.tools.ml.maxent.quasinewton.QNMinimizer | Natural Language Processing (OpenNLP) | javadoc | 
| Address | Creates a text reference as text, given specified row and column numbers. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| AggregateFunction |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Bin2Dec | Syntax: Bin2Dec  (number) Converts a binary number to decimal. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| BooleanFunction | Here are the general rules concerning Boolean functions:  Blanks are ignored (not either true or false)  Strings are ignored if part of an area ref or cell ref, otherwise they must be 'true' or 'false' Numbers: 0 is false. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| CalendarFieldFunction | Date - DAY, MONTH and YEAR  Time - HOUR, MINUTE and SECOND | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Choose |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| 
 
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| Code | Syntax: CODE   (text ) Returns a numeric code for the first character in a text string. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Column |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Columns |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Complex | Syntax: COMPLEX   (real_num,i_num,suffix  ) Converts real and imaginary coefficients into a complex number of the form x + yi or x + yj. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| ConcatEval |  | Class | org.apache.poi.ss.formula.eval | Apache POI | javadoc | 
| Count | Counts the number of cells that contain numeric data within  the list of arguments. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Counta | Counts the number of cells that contain data within the list of arguments. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Countblank |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Countif |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| DateFunc |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Days360 | Calculates the number of days between two dates based on a 360-day year (twelve 30-day months), which is used in some accounting calculations. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Dec2Bin | Syntax: Bin2Dec  (number,[places] ) Converts a decimal number to binary. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Dec2Hex | Syntax: DEC2HEX  (number,places ) Converts a decimal number to hexadecimal. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Delta | Syntax: DELTA (number1,number2 ) Tests whether two values are equal. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| DStarRunner | This class performs a D* calculation. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Errortype | ERROR. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Even |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| FactDouble | Syntax: FACTDOUBLE  (number) Returns the double factorial of a number. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| FinanceFunction |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Fixed |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Fixed0ArgFunction | Convenience base class for functions that only take zero arguments. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Fixed1ArgFunction | Convenience base class for functions that must take exactly one argument. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Fixed2ArgFunction | Convenience base class for functions that must take exactly two arguments. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Fixed3ArgFunction | Convenience base class for functions that must take exactly three arguments. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Fixed4ArgFunction | Convenience base class for functions that must take exactly four arguments. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| 
 
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| Hex2Dec | Syntax: HEX2DEC  (number) Converts a hexadecimal number to decimal. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Hlookup | HLOOKUP finds a column in a lookup table by the first row value and returns the value from another row. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Hyperlink | In Excel this function has special behaviour - it causes the displayed cell value to behave like a hyperlink in the GUI. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| IfFunc | Note that Excel is a bit picky about the arguments to this function,  when serialised into Ptgs in a HSSF file. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Imaginary | Syntax: IMAGINARY  (Inumber) Returns the imaginary coefficient of a complex number in x + yi or x + yj text format. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| ImReal | Syntax: ImReal  (Inumber) Returns the real coefficient of a complex number in x + yi or x + yj text format. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Index | INDEX ( reference, row_num[, column_num [, area_num]])  INDEX ( array, row_num[, column_num]) | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Intercept | Calculates the INTERCEPT of the linear regression line that is used to predict y values from x values (http://introcs. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| IntersectionEval |  | Class | org.apache.poi.ss.formula.eval | Apache POI | javadoc | 
| IPMT |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Irr | Calculates the internal rate of return. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| LinearRegressionFunction | Base class for linear regression functions. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| LogicalFunction | take a single expression argument, and return True or False. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Lookup | LOOKUP finds an index  row in a lookup table by the first column value and returns the value from another column. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Match | MATCH(lookup_value, lookup_array, match_type) Returns a 1-based index specifying at what position in the lookup_array the specified | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| MinaMaxa |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Mirr | Calculates Modified internal rate of return. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Mode |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| MultiOperandNumericFunction | This is the super class for all excel function evaluator classes that take variable number of operands, and | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Na |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| NotImplementedFunction | This is the default implementation of a Function class. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Now |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Npv | Calculates the net present value of an investment by using a discount rate and a series of future payments (negative values) and income (positive | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| NumericFunction |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| NumericFunction.OneArg |  | Class | org.apache.poi.ss.formula.functions.NumericFunction | Apache POI | javadoc | 
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| NumericFunction.TwoArg |  | Class | org.apache.poi.ss.formula.functions.NumericFunction | Apache POI | javadoc | 
| Oct2Dec | Converts an octal number to decimal. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Odd |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Offset | OFFSET returns an area reference that is a specified number of rows and columns from a reference cell or area. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| PercentEval |  | Class | org.apache.poi.ss.formula.eval | Apache POI | javadoc | 
| PPMT | Compute the interest portion of a payment. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Quotient | Syntax: QUOTIENT(Numerator,Denominator) Numerator     is the dividend. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| RangeEval |  | Class | org.apache.poi.ss.formula.eval | Apache POI | javadoc | 
| Rank | Returns the rank of a number in a list of numbers. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Rate |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| RelationalOperationEval | Base class for all comparison operator evaluatorsAuthor:Amol S. | Class | org.apache.poi.ss.formula.eval | Apache POI | javadoc | 
| Replace | An implementation of the Excel REPLACE() function: Replaces part of a text string based on the number of characters | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Rept | Syntax: REPT  (text,number_times ) Repeats text a given number of times. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Roman | Syntax: WeekNum  (Serial_num,Return_type) Returns a number that indicates where the week falls numerically within a year. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| RowFunc |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Rows |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Slope | Calculates the SLOPE of the linear regression line that is used to predict y values from x values (http://introcs. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Substitute | An implementation of the SUBSTITUTE function: Substitutes text in a text string with new text, some number of times. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Subtotal | SUBTOTAL ( functionCode, ref1, ref2 . | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Sumif | SUMIF ( range, criteria, sum_range )     rangeThe range over which criteria is applied. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Sumproduct | SUMPRODUCT ( array1[, array2[, array3[, . | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Sumx2my2 | Calculates the sum of differences of squares in two arrays of the same size. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Sumx2py2 | Calculates the sum of squares in two arrays of the same size. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Sumxmy2 | Calculates the sum of squares of differences between two arrays of the same size. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| T | If the argument is a text or error value it is returned unmodified. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
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| TextFunction |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| TimeFunc |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Today |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| TwoOperandNumericOperation |  | Class | org.apache.poi.ss.formula.eval | Apache POI | javadoc | 
| UnaryMinusEval |  | Class | org.apache.poi.ss.formula.eval | Apache POI | javadoc | 
| UnaryPlusEval |  | Class | org.apache.poi.ss.formula.eval | Apache POI | javadoc | 
| Value | Syntax: VALUE(text) Converts the text argument to a number. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| Vlookup | VLOOKUP finds a row in a lookup table by the first column value and returns the value from another column. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| WeekdayFunc |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| WeekNum | Syntax: WeekNum  (Serial_num,Return_type) Returns a number that indicates where the week falls numerically within a year. | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| XYNumericFunction |  | Class | org.apache.poi.ss.formula.functions | Apache POI | javadoc | 
| AsyncOnSubscribe | A utility class to create OnSubscribe functions that respond correctly to back pressure requests from subscribers. | Class | rx.observables | RxJava | javadoc | 
| SyncOnSubscribe | A utility class to create OnSubscribe functions that respond correctly to back pressure requests from subscribers. | Class | rx.observables | RxJava | javadoc | 
| AbstractCachingDiffFunction |  | Class | edu.stanford.nlp.optimization | JavaNlp | javadoc | 
| AbstractSequenceClassifier | This class provides common functionality for (probabilistic) sequence models. | Class | edu.stanford.nlp.ie | JavaNlp | javadoc | 
| AbstractStochasticCachingDiffFunction |  | Class | edu.stanford.nlp.optimization | JavaNlp | javadoc | 
| AbstractStochasticCachingDiffUpdateFunction | Function for stochastic calculations that does update in place (instead of maintaining and returning the derivative). | Class | edu.stanford.nlp.optimization | JavaNlp | javadoc | 
| AbstractTreebankParserParams.AnnotatePunctuationFunction | Annotation function for mapping punctuation to PTB-style equivalence classes. | Class | edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams | JavaNlp | javadoc | 
| AdaptedGaussianPriorObjectiveFunction | Adapt the mean of the Gaussian Prior by shifting the mean to the previously trained weightsAuthor:Pi-Chuan Chang, Sarah Spikes (sdspikes@cs. | Class | edu.stanford.nlp.classify | JavaNlp | javadoc | 
| Americanize | Takes a HasWord or String and returns an Americanized version of it. | Class | edu.stanford.nlp.process | JavaNlp | javadoc | 
| AmericanizeFunction |  | Class | edu.stanford.nlp.process | JavaNlp | javadoc | 
| BasicCategoryTreeTransformer | Transforms trees by turning the labels into their basic categories TreebankLanguagePack | Class | edu.stanford.nlp.trees | JavaNlp | javadoc | 
| BiasedLogConditionalObjectiveFunction | Maximizes the conditional likelihood with a given prior. | Class | edu.stanford.nlp.classify | JavaNlp | javadoc | 
| BiasedLogisticObjectiveFunction |  | Class | edu.stanford.nlp.classify | JavaNlp | javadoc | 
| Buckwalter | This class can convert between Unicode and Buckwalter encodings of "MORPHOLOGICAL ANALYSIS & POS ANNOTATION," v3. | Class | edu.stanford.nlp.international.arabic | JavaNlp | javadoc | 
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| ChineseEscaper | An Escaper for Chinese normalization to match Treebank. | Class | edu.stanford.nlp.trees.international.pennchinese | JavaNlp | javadoc | 
| ClassifierCombiner | Merges the outputs of two or more AbstractSequenceClassifiers according to a simple precedence scheme: any given base classifier contributes only | Class | edu.stanford.nlp.ie | JavaNlp | javadoc | 
| CMMClassifier | Does Sequence Classification using a Conditional Markov Model. | Class | edu.stanford.nlp.ie.ner | JavaNlp | javadoc | 
| CoreMapAggregator |  | Class | edu.stanford.nlp.pipeline | JavaNlp | javadoc | 
| CoreMapNodePatternTrigger | Trigger for CoreMap Node Patterns. | Class | edu.stanford.nlp.ling.tokensregex | JavaNlp | javadoc | 
| CRFBiasedClassifier | CRFBiasedClassifier is used to adjust the precision-recall tradeoff of any CRF model implemented using CRFClassifier. | Class | edu.stanford.nlp.ie.crf | JavaNlp | javadoc | 
| CRFClassifier | Class for sequence classification using a Conditional Random Field model. | Class | edu.stanford.nlp.ie.crf | JavaNlp | javadoc | 
| CRFClassifierFloat |  | Class | edu.stanford.nlp.ie.crf | JavaNlp | javadoc | 
| CRFClassifierNoisyLabel |  | Class | edu.stanford.nlp.ie.crf | JavaNlp | javadoc | 
| CRFClassifierNonlinear | Subclass of CRFClassifier for implementing the nonlinear architecture in [Wang and Manning IJCNLP-2013 Effect of Nonlinear . | Class | edu.stanford.nlp.ie.crf | JavaNlp | javadoc | 
| CRFClassifierWithDropout | Subclass of CRFClassifier that performs dropout feature-noising training. | Class | edu.stanford.nlp.ie.crf | JavaNlp | javadoc | 
| CRFClassifierWithLOP | Subclass of CRFClassifier for learning Logarithmic Opinion Pools. | Class | edu.stanford.nlp.ie.crf | JavaNlp | javadoc | 
| CRFLogConditionalObjectiveFunction |  | Class | edu.stanford.nlp.ie.crf | JavaNlp | javadoc | 
| CRFLogConditionalObjectiveFunctionForLOP | TODO(mengqiu) currently only works with disjoint feature sets for non-disjoint feature sets, need to recompute EHat each iteration, and multiply in the scale | Class | edu.stanford.nlp.ie.crf | JavaNlp | javadoc | 
| CRFLogConditionalObjectiveFunctionNoisyLabel |  | Class | edu.stanford.nlp.ie.crf | JavaNlp | javadoc | 
| CRFLogConditionalObjectiveFunctionWithDropout |  | Class | edu.stanford.nlp.ie.crf | JavaNlp | javadoc | 
| CRFNonLinearLogConditionalObjectiveFunction |  | Class | edu.stanford.nlp.ie.crf | JavaNlp | javadoc | 
| CRFNonLinearSecondOrderLogConditionalObjectiveFunction |  | Class | edu.stanford.nlp.ie.crf | JavaNlp | javadoc | 
| DVParserCostAndGradient |  | Class | edu.stanford.nlp.parser.dvparser | JavaNlp | javadoc | 
| GeneralizedExpectationObjectiveFunction | an I. | Class | edu.stanford.nlp.classify | JavaNlp | javadoc | 
| IBMArabicEscaper | This escaper is intended for use on flat input to be parsed by LexicalizedParser. | Class | edu.stanford.nlp.international.arabic | JavaNlp | javadoc | 
| IdentityFunction | An Identity function that returns its argument. | Class | edu.stanford.nlp.objectbank | JavaNlp | javadoc | 
| LexicalizedParser | This class provides the top-level API and command-line interface to a set of reasonably good treebank-trained parsers. | Class | edu.stanford.nlp.parser.lexparser | JavaNlp | javadoc | 
| LinearGrammarSmoother |  | Class | edu.stanford.nlp.parser.lexparser | JavaNlp | javadoc | 
| LogConditionalEqConstraintFunction | Maximizes the conditional likelihood with a given prior. | Class | edu.stanford.nlp.classify | JavaNlp | javadoc | 
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| LogConditionalObjectiveFunction | Maximizes the conditional likelihood with a given prior. | Class | edu.stanford.nlp.classify | JavaNlp | javadoc | 
| LogisticObjectiveFunction | Maximizes the conditional likelihood with a given prior. | Class | edu.stanford.nlp.classify | JavaNlp | javadoc | 
| LowercaseAndAmericanizeFunction |  | Class | edu.stanford.nlp.process | JavaNlp | javadoc | 
| LowercaseFunction |  | Class | edu.stanford.nlp.process | JavaNlp | javadoc | 
| MatchedExpression.SingleAnnotationExtractor | Function that takes a CoreMap, applies a extraction function to it, to get a value Also contains information on how to construct a final annotation. | Class | edu.stanford.nlp.ling.tokensregex.MatchedExpression | JavaNlp | javadoc | 
| MaxentTagger | The main class for users to run, train, and test the part of speech tagger. | Class | edu.stanford.nlp.tagger.maxent | JavaNlp | javadoc | 
| Morphology | Morphology computes the base form of English words, by removing just inflections (not derivational morphology). | Class | edu.stanford.nlp.process | JavaNlp | javadoc | 
| MultiClassPrecisionRecallExtendedStats.StringStringConverter |  | Class | edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats | JavaNlp | javadoc | 
| MultiPatternMatcher.BasicSequencePatternTrigger | Simple SequencePatternTrigger that looks at each node, and identifies which   patterns may potentially match each node, and then aggregates (union) | Class | edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher | JavaNlp | javadoc | 
| NERClassifierCombiner | Subclass of ClassifierCombiner that behaves like a NER, by copying the AnswerAnnotation labels to NERAnnotation. | Class | edu.stanford.nlp.ie | JavaNlp | javadoc | 
| NumberSequenceClassifier | A set of deterministic rules for marking certain entities, to add categories and to correct for failures of statistical NER taggers. | Class | edu.stanford.nlp.ie.regexp | JavaNlp | javadoc | 
| ObjectBank.PathToFileFunction | This is handy for having getLineIterator return a collection of files for feeding into another ObjectBank. | Class | edu.stanford.nlp.objectbank.ObjectBank | JavaNlp | javadoc | 
| ParserGrammar | An interface for the classes which store the data for a parser. | Class | edu.stanford.nlp.parser.common | JavaNlp | javadoc | 
| PTBEscapingProcessor | Produces a new Document of Words in which special characters of the PTB have been properly escaped. | Class | edu.stanford.nlp.process | JavaNlp | javadoc | 
| RegexNERSequenceClassifier | A sequence classifier that labels tokens with types based on a simple manual mapping from regular expressions to the types of the entities they are meant to describe. | Class | edu.stanford.nlp.ie.regexp | JavaNlp | javadoc | 
| ResultStoringMonitor |  | Class | edu.stanford.nlp.optimization | JavaNlp | javadoc | 
| SemiSupervisedLogConditionalObjectiveFunction | Maximizes the conditional likelihood with a given prior. | Class | edu.stanford.nlp.classify | JavaNlp | javadoc | 
| SentimentCostAndGradient |  | Class | edu.stanford.nlp.sentiment | JavaNlp | javadoc | 
| SequenceMatchResult.GroupToIntervalFunc |  | Class | edu.stanford.nlp.ling.tokensregex.SequenceMatchResult | JavaNlp | javadoc | 
| SequenceMatchRules.CoreMapFunctionApplier |  | Class | edu.stanford.nlp.ling.tokensregex.SequenceMatchRules | JavaNlp | javadoc | 
| SequenceMatchRules.CoreMapToListFunctionApplier |  | Class | edu.stanford.nlp.ling.tokensregex.SequenceMatchRules | JavaNlp | javadoc | 
| SequenceMatchRules.MultiSequencePatternExtractRule |  | Class | edu.stanford.nlp.ling.tokensregex.SequenceMatchRules | JavaNlp | javadoc | 
| SequenceMatchRules.SequenceMatchedExpressionExtractor |  | Class | edu.stanford.nlp.ling.tokensregex.SequenceMatchRules | JavaNlp | javadoc | 
| SequenceMatchRules.SequenceMatchResultExtractor |  | Class | edu.stanford.nlp.ling.tokensregex.SequenceMatchRules | JavaNlp | javadoc | 
| SequenceMatchRules.SequencePatternExtractRule |  | Class | edu.stanford.nlp.ling.tokensregex.SequenceMatchRules | JavaNlp | javadoc | 
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| SequenceMatchRules.StringMatchedExpressionExtractor |  | Class | edu.stanford.nlp.ling.tokensregex.SequenceMatchRules | JavaNlp | javadoc | 
| SequenceMatchRules.StringMatchResultExtractor |  | Class | edu.stanford.nlp.ling.tokensregex.SequenceMatchRules | JavaNlp | javadoc | 
| SequenceMatchRules.StringPatternExtractRule |  | Class | edu.stanford.nlp.ling.tokensregex.SequenceMatchRules | JavaNlp | javadoc | 
| ShiftReduceParser | A shift-reduce constituency parser. | Class | edu.stanford.nlp.parser.shiftreduce | JavaNlp | javadoc | 
| Tagger | This module includes constants that are the same for all taggers, as opposed to being part of their configurations. | Class | edu.stanford.nlp.tagger.common | JavaNlp | javadoc | 
| TimeFormatter.CustomDateFormatExtractor | 1. | Class | edu.stanford.nlp.time.TimeFormatter | JavaNlp | javadoc | 
| TimeFormatter.JavaDateFormatExtractor |  | Class | edu.stanford.nlp.time.TimeFormatter | JavaNlp | javadoc | 
| TimeFormatter.JodaDateTimeFormatExtractor |  | Class | edu.stanford.nlp.time.TimeFormatter | JavaNlp | javadoc | 
| TregexPoweredTreebankParserParams.AnnotateHeadFunction | Annotate a tree constituent with its lexical head. | Class | edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams | JavaNlp | javadoc | 
| TregexPoweredTreebankParserParams.SimpleStringFunction | Annotates all nodes that match the tregex query with some string. | Class | edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams | JavaNlp | javadoc | 
| TrueCasingForNISTDocumentReaderAndWriter.LineToTrueCasesParser |  | Class | edu.stanford.nlp.sequences.TrueCasingForNISTDocumentReaderAndWriter | JavaNlp | javadoc | 
| UTF8EquivalenceFunction |  | Class | edu.stanford.nlp.util | JavaNlp | javadoc | 
| SubtractNorm |  | Class | mpicbg.imglib.algorithm.function | Fiji | javadoc | 
| SubtractNormReal |  | Class | mpicbg.imglib.algorithm.function | Fiji | javadoc | 
| SubtractReal |  | Class | mpicbg.imglib.algorithm.function | Fiji | javadoc | 
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