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 |