#Edu.stanford.nlp.classify Classes and Interfaces

_{#Edu.stanford.nlp.classify Classes and Interfaces - 74 results found.}

Name	Description	Type	Package	Framework
AbstractLinearClassifierFactory	Shared methods for training a LinearClassifier.	Class	edu.stanford.nlp.classify	Stanford Parser
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
BiasedLogConditionalObjectiveFunction	Maximizes the conditional likelihood with a given prior.	Class	edu.stanford.nlp.classify	Stanford Parser
BiasedLogisticObjectiveFunction		Class	edu.stanford.nlp.classify	Stanford Parser
Classifier	A simple interface for classifying and scoring data points, implemented by most of the classifiers in this package.	Interface	edu.stanford.nlp.classify	Stanford Parser
ClassifierCreator		Interface	edu.stanford.nlp.classify	Stanford Parser
ClassifierExample	Sample code that illustrates the training and use of a linear classifier.	Class	edu.stanford.nlp.classify	Stanford Parser
ClassifierFactory	A simple interface for training a Classifier from a Dataset of training Templatized by Sarah Spikes (sdspikes@cs.	Interface	edu.stanford.nlp.classify	Stanford Parser
ColumnDataClassifier	ColumnDataClassifier provides a command-line interface for doing context-free (independent) classification of a series of data items,	Class	edu.stanford.nlp.classify	Stanford Parser
CrossValidator	This class is meant to simplify performing cross validation of classifiers for hyper-parameters.	Class	edu.stanford.nlp.classify	Stanford Parser
CrossValidator .SavedState		Class	edu.stanford.nlp.classify.CrossValidator	Stanford Parser
Dataset	An interfacing class for ClassifierFactory that incrementally builds a more memory-efficient representation of a List of	Class	edu.stanford.nlp.classify	Stanford Parser
GeneralDataset	The purpose of this interface is to unify Dataset and RVFDataset.	Class	edu.stanford.nlp.classify	Stanford Parser
GeneralizedExpectationObjectiveFunction	an I.	Class	edu.stanford.nlp.classify	Stanford Parser
LinearClassifier	can be any generalized linear model classifier (such as a perceptron, a maxent classifier (softmax logistic regression), or an SVM).	Class	edu.stanford.nlp.classify	Stanford Parser
LinearClassifierFactory	Builds various types of linear classifiers, with functionality for setting objective function, optimization method, and other parameters.	Class	edu.stanford.nlp.classify	Stanford Parser
LinearClassifierFactory .LinearClassifierCreator		Class	edu.stanford.nlp.classify.LinearClassifierFactory	Stanford Parser
LogConditionalEqConstraintFunction	Maximizes the conditional likelihood with a given prior.	Class	edu.stanford.nlp.classify	Stanford Parser
LogConditionalObjectiveFunction	Maximizes the conditional likelihood with a given prior.	Class	edu.stanford.nlp.classify	Stanford Parser
LogisticClassifier	A classifier for binary logistic regression problems.	Class	edu.stanford.nlp.classify	Stanford Parser
LogisticClassifierFactory	Builds a classifier for binary logistic regression problems.	Class	edu.stanford.nlp.classify	Stanford Parser
LogisticObjectiveFunction	Maximizes the conditional likelihood with a given prior.	Class	edu.stanford.nlp.classify	Stanford Parser
LogPrior	A Prior for functions.	Class	edu.stanford.nlp.classify	Stanford Parser
LogPrior .LogPriorType	Returns the enum constant of this type with the specified name.	Class	edu.stanford.nlp.classify.LogPrior	Stanford Parser
NaiveBayesClassifier	A Naive Bayes classifier with a fixed number of features.	Class	edu.stanford.nlp.classify	Stanford Parser
NaiveBayesClassifierFactory	Creates a NaiveBayesClassifier given an RVFDataset.	Class	edu.stanford.nlp.classify	Stanford Parser
NBLinearClassifierFactory	Provides a medium-weight implementation of Bernoulli (or binary) Naive Bayes via a linear classifier.	Class	edu.stanford.nlp.classify	Stanford Parser
PRCurve	A class to create recall-precision curves given scores used to fit the best monotonic function for logistic regression and SVMs.	Class	edu.stanford.nlp.classify	Stanford Parser
ProbabilisticClassifier		Interface	edu.stanford.nlp.classify	Stanford Parser
ProbabilisticClassifierCreator	Creates a probablic classifier with given weightscreateProbabilisticClassifier	Interface	edu.stanford.nlp.classify	Stanford Parser
RVFClassifier	A simple interface for classifying and scoring data points with real-valued features.	Interface	edu.stanford.nlp.classify	Stanford Parser
RVFDataset	An interfacing class for ClassifierFactory that incrementally builds a more memory-efficient representation of a List of RVFDatum	Class	edu.stanford.nlp.classify	Stanford Parser
SemiSupervisedLogConditionalObjectiveFunction	Maximizes the conditional likelihood with a given prior.	Class	edu.stanford.nlp.classify	Stanford Parser
SVMLightClassifier	This class represents a trained SVM Classifier.	Class	edu.stanford.nlp.classify	Stanford Parser
SVMLightClassifierFactory	This class is meant for training SVMs (SVMLightClassifiers).	Class	edu.stanford.nlp.classify	Stanford Parser
WeightedDataset		Class	edu.stanford.nlp.classify	Stanford Parser
WeightedRVFDataset	A weighted version of the RVF dataset.	Class	edu.stanford.nlp.classify	Stanford Parser
AbstractLinearClassifierFactory	Shared methods for training a LinearClassifier.	Class	edu.stanford.nlp.classify	JavaNlp
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
BiasedLogConditionalObjectiveFunction	Maximizes the conditional likelihood with a given prior.	Class	edu.stanford.nlp.classify	JavaNlp
BiasedLogisticObjectiveFunction		Class	edu.stanford.nlp.classify	JavaNlp
Classifier	A simple interface for classifying and scoring data points, implemented by most of the classifiers in this package.	Interface	edu.stanford.nlp.classify	JavaNlp
ClassifierCreator		Interface	edu.stanford.nlp.classify	JavaNlp
ClassifierExample	Sample code that illustrates the training and use of a linear classifier.	Class	edu.stanford.nlp.classify	JavaNlp
ClassifierFactory	A simple interface for training a Classifier from a Dataset of training Templatized by Sarah Spikes (sdspikes@cs.	Interface	edu.stanford.nlp.classify	JavaNlp
ColumnDataClassifier	ColumnDataClassifier provides a command-line interface for doing context-free (independent) classification of a series of data items,	Class	edu.stanford.nlp.classify	JavaNlp
CrossValidator	This class is meant to simplify performing cross validation of classifiers for hyper-parameters.	Class	edu.stanford.nlp.classify	JavaNlp
CrossValidator .SavedState		Class	edu.stanford.nlp.classify.CrossValidator	JavaNlp
Dataset	An interfacing class for ClassifierFactory that incrementally builds a more memory-efficient representation of a List of	Class	edu.stanford.nlp.classify	JavaNlp
GeneralDataset	The purpose of this interface is to unify Dataset and RVFDataset.	Class	edu.stanford.nlp.classify	JavaNlp
GeneralizedExpectationObjectiveFunction	an I.	Class	edu.stanford.nlp.classify	JavaNlp
LinearClassifier	can be any generalized linear model classifier (such as a perceptron, a maxent classifier (softmax logistic regression), or an SVM).	Class	edu.stanford.nlp.classify	JavaNlp
LinearClassifierFactory	Builds various types of linear classifiers, with functionality for setting objective function, optimization method, and other parameters.	Class	edu.stanford.nlp.classify	JavaNlp
LinearClassifierFactory .LinearClassifierCreator		Class	edu.stanford.nlp.classify.LinearClassifierFactory	JavaNlp
LogConditionalEqConstraintFunction	Maximizes the conditional likelihood with a given prior.	Class	edu.stanford.nlp.classify	JavaNlp
LogConditionalObjectiveFunction	Maximizes the conditional likelihood with a given prior.	Class	edu.stanford.nlp.classify	JavaNlp
LogisticClassifier	A classifier for binary logistic regression problems.	Class	edu.stanford.nlp.classify	JavaNlp
LogisticClassifierFactory	Builds a classifier for binary logistic regression problems.	Class	edu.stanford.nlp.classify	JavaNlp
LogisticObjectiveFunction	Maximizes the conditional likelihood with a given prior.	Class	edu.stanford.nlp.classify	JavaNlp
LogPrior	A Prior for functions.	Class	edu.stanford.nlp.classify	JavaNlp
LogPrior .LogPriorType	Returns the enum constant of this type with the specified name.	Class	edu.stanford.nlp.classify.LogPrior	JavaNlp
NaiveBayesClassifier	A Naive Bayes classifier with a fixed number of features.	Class	edu.stanford.nlp.classify	JavaNlp
NaiveBayesClassifierFactory	Creates a NaiveBayesClassifier given an RVFDataset.	Class	edu.stanford.nlp.classify	JavaNlp
NBLinearClassifierFactory	Provides a medium-weight implementation of Bernoulli (or binary) Naive Bayes via a linear classifier.	Class	edu.stanford.nlp.classify	JavaNlp
PRCurve	A class to create recall-precision curves given scores used to fit the best monotonic function for logistic regression and SVMs.	Class	edu.stanford.nlp.classify	JavaNlp
ProbabilisticClassifier		Interface	edu.stanford.nlp.classify	JavaNlp
ProbabilisticClassifierCreator	Creates a probablic classifier with given weightscreateProbabilisticClassifier	Interface	edu.stanford.nlp.classify	JavaNlp
RVFClassifier	A simple interface for classifying and scoring data points with real-valued features.	Interface	edu.stanford.nlp.classify	JavaNlp
RVFDataset	An interfacing class for ClassifierFactory that incrementally builds a more memory-efficient representation of a List of RVFDatum	Class	edu.stanford.nlp.classify	JavaNlp
SemiSupervisedLogConditionalObjectiveFunction	Maximizes the conditional likelihood with a given prior.	Class	edu.stanford.nlp.classify	JavaNlp
SVMLightClassifier	This class represents a trained SVM Classifier.	Class	edu.stanford.nlp.classify	JavaNlp
SVMLightClassifierFactory	This class is meant for training SVMs (SVMLightClassifiers).	Class	edu.stanford.nlp.classify	JavaNlp
WeightedDataset		Class	edu.stanford.nlp.classify	JavaNlp
WeightedRVFDataset	A weighted version of the RVF dataset.	Class	edu.stanford.nlp.classify	JavaNlp

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