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#Edu.stanford.nlp.classify Classes and Interfaces - 74 results found.
NameDescriptionTypePackageFramework
AbstractLinearClassifierFactoryShared methods for training a LinearClassifier.Classedu.stanford.nlp.classifyStanford Parser
AdaptedGaussianPriorObjectiveFunctionAdapt the mean of the Gaussian Prior by shifting the mean to the previously trained weightsAuthor:Pi-Chuan Chang, Sarah Spikes (sdspikes@cs.Classedu.stanford.nlp.classifyStanford Parser
BiasedLogConditionalObjectiveFunctionMaximizes the conditional likelihood with a given prior.Classedu.stanford.nlp.classifyStanford Parser
BiasedLogisticObjectiveFunctionClassedu.stanford.nlp.classifyStanford Parser
ClassifierA simple interface for classifying and scoring data points, implemented by most of the classifiers in this package.Interfaceedu.stanford.nlp.classifyStanford Parser
ClassifierCreatorInterfaceedu.stanford.nlp.classifyStanford Parser
ClassifierExampleSample code that illustrates the training and use of a linear classifier.Classedu.stanford.nlp.classifyStanford Parser
ClassifierFactoryA simple interface for training a Classifier from a Dataset of training Templatized by Sarah Spikes (sdspikes@cs.Interfaceedu.stanford.nlp.classifyStanford Parser
ColumnDataClassifierColumnDataClassifier provides a command-line interface for doing context-free (independent) classification of a series of data items,Classedu.stanford.nlp.classifyStanford Parser
CrossValidatorThis class is meant to simplify performing cross validation of classifiers for hyper-parameters.Classedu.stanford.nlp.classifyStanford Parser
CrossValidator .SavedStateClassedu.stanford.nlp.classify.CrossValidatorStanford Parser
DatasetAn interfacing class for ClassifierFactory that incrementally builds a more memory-efficient representation of a List ofClassedu.stanford.nlp.classifyStanford Parser
GeneralDatasetThe purpose of this interface is to unify Dataset and RVFDataset.Classedu.stanford.nlp.classifyStanford Parser
GeneralizedExpectationObjectiveFunction an I.Classedu.stanford.nlp.classifyStanford Parser
LinearClassifier can be any generalized linear model classifier (such as a perceptron, a maxent classifier (softmax logistic regression), or an SVM).Classedu.stanford.nlp.classifyStanford Parser
LinearClassifierFactoryBuilds various types of linear classifiers, with functionality for setting objective function, optimization method, and other parameters.Classedu.stanford.nlp.classifyStanford Parser
LinearClassifierFactory .LinearClassifierCreatorClassedu.stanford.nlp.classify.LinearClassifierFactoryStanford Parser
LogConditionalEqConstraintFunctionMaximizes the conditional likelihood with a given prior.Classedu.stanford.nlp.classifyStanford Parser
LogConditionalObjectiveFunctionMaximizes the conditional likelihood with a given prior.Classedu.stanford.nlp.classifyStanford Parser
LogisticClassifierA classifier for binary logistic regression problems.Classedu.stanford.nlp.classifyStanford Parser
LogisticClassifierFactoryBuilds a classifier for binary logistic regression problems.Classedu.stanford.nlp.classifyStanford Parser
LogisticObjectiveFunctionMaximizes the conditional likelihood with a given prior.Classedu.stanford.nlp.classifyStanford Parser
LogPriorA Prior for functions.Classedu.stanford.nlp.classifyStanford Parser
LogPrior .LogPriorTypeReturns the enum constant of this type with the specified name.Classedu.stanford.nlp.classify.LogPriorStanford Parser
NaiveBayesClassifierA Naive Bayes classifier with a fixed number of features.Classedu.stanford.nlp.classifyStanford Parser
NaiveBayesClassifierFactoryCreates a NaiveBayesClassifier given an RVFDataset.Classedu.stanford.nlp.classifyStanford Parser
NBLinearClassifierFactoryProvides a medium-weight implementation of Bernoulli (or binary) Naive Bayes via a linear classifier.Classedu.stanford.nlp.classifyStanford Parser
PRCurveA class to create recall-precision curves given scores used to fit the best monotonic function for logistic regression and SVMs.Classedu.stanford.nlp.classifyStanford Parser
ProbabilisticClassifierInterfaceedu.stanford.nlp.classifyStanford Parser
ProbabilisticClassifierCreatorCreates a probablic classifier with given weightscreateProbabilisticClassifierInterfaceedu.stanford.nlp.classifyStanford Parser
RVFClassifierA simple interface for classifying and scoring data points with real-valued features.Interfaceedu.stanford.nlp.classifyStanford Parser
RVFDatasetAn interfacing class for ClassifierFactory that incrementally builds a more memory-efficient representation of a List of RVFDatumClassedu.stanford.nlp.classifyStanford Parser
SemiSupervisedLogConditionalObjectiveFunctionMaximizes the conditional likelihood with a given prior.Classedu.stanford.nlp.classifyStanford Parser
SVMLightClassifierThis class represents a trained SVM Classifier.Classedu.stanford.nlp.classifyStanford Parser
SVMLightClassifierFactoryThis class is meant for training SVMs (SVMLightClassifiers).Classedu.stanford.nlp.classifyStanford Parser
WeightedDatasetClassedu.stanford.nlp.classifyStanford Parser
WeightedRVFDatasetA weighted version of the RVF dataset.Classedu.stanford.nlp.classifyStanford Parser
AbstractLinearClassifierFactoryShared methods for training a LinearClassifier.Classedu.stanford.nlp.classifyJavaNlp
AdaptedGaussianPriorObjectiveFunctionAdapt the mean of the Gaussian Prior by shifting the mean to the previously trained weightsAuthor:Pi-Chuan Chang, Sarah Spikes (sdspikes@cs.Classedu.stanford.nlp.classifyJavaNlp
BiasedLogConditionalObjectiveFunctionMaximizes the conditional likelihood with a given prior.Classedu.stanford.nlp.classifyJavaNlp
BiasedLogisticObjectiveFunctionClassedu.stanford.nlp.classifyJavaNlp
ClassifierA simple interface for classifying and scoring data points, implemented by most of the classifiers in this package.Interfaceedu.stanford.nlp.classifyJavaNlp
ClassifierCreatorInterfaceedu.stanford.nlp.classifyJavaNlp
ClassifierExampleSample code that illustrates the training and use of a linear classifier.Classedu.stanford.nlp.classifyJavaNlp
ClassifierFactoryA simple interface for training a Classifier from a Dataset of training Templatized by Sarah Spikes (sdspikes@cs.Interfaceedu.stanford.nlp.classifyJavaNlp
ColumnDataClassifierColumnDataClassifier provides a command-line interface for doing context-free (independent) classification of a series of data items,Classedu.stanford.nlp.classifyJavaNlp
CrossValidatorThis class is meant to simplify performing cross validation of classifiers for hyper-parameters.Classedu.stanford.nlp.classifyJavaNlp
CrossValidator .SavedStateClassedu.stanford.nlp.classify.CrossValidatorJavaNlp
DatasetAn interfacing class for ClassifierFactory that incrementally builds a more memory-efficient representation of a List ofClassedu.stanford.nlp.classifyJavaNlp
GeneralDatasetThe purpose of this interface is to unify Dataset and RVFDataset.Classedu.stanford.nlp.classifyJavaNlp
GeneralizedExpectationObjectiveFunction an I.Classedu.stanford.nlp.classifyJavaNlp
LinearClassifier can be any generalized linear model classifier (such as a perceptron, a maxent classifier (softmax logistic regression), or an SVM).Classedu.stanford.nlp.classifyJavaNlp
LinearClassifierFactoryBuilds various types of linear classifiers, with functionality for setting objective function, optimization method, and other parameters.Classedu.stanford.nlp.classifyJavaNlp
LinearClassifierFactory .LinearClassifierCreatorClassedu.stanford.nlp.classify.LinearClassifierFactoryJavaNlp
LogConditionalEqConstraintFunctionMaximizes the conditional likelihood with a given prior.Classedu.stanford.nlp.classifyJavaNlp
LogConditionalObjectiveFunctionMaximizes the conditional likelihood with a given prior.Classedu.stanford.nlp.classifyJavaNlp
LogisticClassifierA classifier for binary logistic regression problems.Classedu.stanford.nlp.classifyJavaNlp
LogisticClassifierFactoryBuilds a classifier for binary logistic regression problems.Classedu.stanford.nlp.classifyJavaNlp
LogisticObjectiveFunctionMaximizes the conditional likelihood with a given prior.Classedu.stanford.nlp.classifyJavaNlp
LogPriorA Prior for functions.Classedu.stanford.nlp.classifyJavaNlp
LogPrior .LogPriorTypeReturns the enum constant of this type with the specified name.Classedu.stanford.nlp.classify.LogPriorJavaNlp
NaiveBayesClassifierA Naive Bayes classifier with a fixed number of features.Classedu.stanford.nlp.classifyJavaNlp
NaiveBayesClassifierFactoryCreates a NaiveBayesClassifier given an RVFDataset.Classedu.stanford.nlp.classifyJavaNlp
NBLinearClassifierFactoryProvides a medium-weight implementation of Bernoulli (or binary) Naive Bayes via a linear classifier.Classedu.stanford.nlp.classifyJavaNlp
PRCurveA class to create recall-precision curves given scores used to fit the best monotonic function for logistic regression and SVMs.Classedu.stanford.nlp.classifyJavaNlp
ProbabilisticClassifierInterfaceedu.stanford.nlp.classifyJavaNlp
ProbabilisticClassifierCreatorCreates a probablic classifier with given weightscreateProbabilisticClassifierInterfaceedu.stanford.nlp.classifyJavaNlp
RVFClassifierA simple interface for classifying and scoring data points with real-valued features.Interfaceedu.stanford.nlp.classifyJavaNlp
RVFDatasetAn interfacing class for ClassifierFactory that incrementally builds a more memory-efficient representation of a List of RVFDatumClassedu.stanford.nlp.classifyJavaNlp
SemiSupervisedLogConditionalObjectiveFunctionMaximizes the conditional likelihood with a given prior.Classedu.stanford.nlp.classifyJavaNlp
SVMLightClassifierThis class represents a trained SVM Classifier.Classedu.stanford.nlp.classifyJavaNlp
SVMLightClassifierFactoryThis class is meant for training SVMs (SVMLightClassifiers).Classedu.stanford.nlp.classifyJavaNlp
WeightedDatasetClassedu.stanford.nlp.classifyJavaNlp
WeightedRVFDatasetA weighted version of the RVF dataset.Classedu.stanford.nlp.classifyJavaNlp