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A

addContext(JCas, TextClassificationTarget, String, Writer) - Static method in class org.dkpro.tc.core.feature.ContextMetaCollectorUtil
 
applyFilter(File) - Method in interface org.dkpro.tc.core.feature.filter.FeatureFilter
Applies the filter to the given feature store
AssignIdConnector - Class in org.dkpro.tc.core.task.uima
 
AssignIdConnector() - Constructor for class org.dkpro.tc.core.task.uima.AssignIdConnector
 

B

BASELINE_MAJORITIY_ID_OUTCOME_KEY - Static variable in interface org.dkpro.tc.core.Constants
Name of the file which assigns the majority class as prediction or the mean floating point value in case of regression, as baseline
BASELINE_RANDOM_ID_OUTCOME_KEY - Static variable in interface org.dkpro.tc.core.Constants
Name of the file which assigns for each instance a randomly predicted class or value, as baseline
bw - Variable in class org.dkpro.tc.core.feature.ContextMetaCollector_ImplBase
 

C

canStream() - Method in interface org.dkpro.tc.core.io.DataWriter
 
canStream() - Method in class org.dkpro.tc.core.io.JsonDataWriter
 
CLASS_ATTRIBUTE_NAME - Static variable in interface org.dkpro.tc.core.Constants
The name of the attribute that encodes the known classification outcome
CLASS_ATTRIBUTE_PREFIX - Static variable in interface org.dkpro.tc.core.Constants
This prefix is used to make sure that class label names do not match names of features
classArgs - Variable in class org.dkpro.tc.core.task.DKProTcDeepTestTask
 
classArgs - Variable in class org.dkpro.tc.core.task.DKProTcShallowSerializationTask
 
classArgs - Variable in class org.dkpro.tc.core.task.DKProTcShallowTestTask
 
clearDiscriminatorsByExcludePattern(Map<String, String>, List<String>) - Static method in class org.dkpro.tc.core.util.ReportUtils
 
close() - Method in interface org.dkpro.tc.core.io.DataWriter
 
close() - Method in class org.dkpro.tc.core.io.JsonDataWriter
 
close() - Method in class org.dkpro.tc.core.task.uima.DocumentMetaLogger
 
CM_ACTUAL - Static variable in interface org.dkpro.tc.core.Constants
Name of the confusion matrix dimension showing the actual values
CM_PREDICTED - Static variable in interface org.dkpro.tc.core.Constants
Name of the confusion matrix dimension showing the predicted values
COLLECTION_INPUT_KEY - Static variable in class org.dkpro.tc.core.task.ExtractFeaturesTask
 
collectionProcessComplete() - Method in class org.dkpro.tc.core.feature.ContextMetaCollector_ImplBase
 
collectionProcessComplete() - Method in class org.dkpro.tc.core.task.deep.anno.FilterVocabularyByEmbeddingAnnotator
 
collectionProcessComplete() - Method in class org.dkpro.tc.core.task.deep.anno.IdentificationCollector
 
collectionProcessComplete() - Method in class org.dkpro.tc.core.task.deep.anno.MappingAnnotator
 
collectionProcessComplete() - Method in class org.dkpro.tc.core.task.deep.anno.MaxLenDoc2Label
 
collectionProcessComplete() - Method in class org.dkpro.tc.core.task.deep.anno.MaxLenSeq2Label
 
collectionProcessComplete() - Method in class org.dkpro.tc.core.task.deep.anno.MetaDataCollectionAnnotator
 
collectionProcessComplete() - Method in class org.dkpro.tc.core.task.deep.anno.res.DictionaryMappingAnnotator
 
collectionProcessComplete() - Method in class org.dkpro.tc.core.task.deep.anno.res.ListMappingAnnotator
 
collectionProcessComplete() - Method in class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2Regression
 
collectionProcessComplete() - Method in class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2SingleLabel
 
collectionProcessComplete() - Method in class org.dkpro.tc.core.task.deep.anno.VectorizationDocDoc2MultiLabel
 
collectionProcessComplete() - Method in class org.dkpro.tc.core.task.deep.anno.VectorizationSeq2SeqOfLabel
 
collectionProcessComplete() - Method in class org.dkpro.tc.core.task.deep.anno.VocabularyOutcomeCollector
 
collectionProcessComplete() - Method in class org.dkpro.tc.core.task.uima.ExtractFeaturesConnector
 
collectionProcessComplete() - Method in class org.dkpro.tc.core.task.uima.OutcomeCollector
 
collectionProcessComplete() - Method in class org.dkpro.tc.core.task.uima.PreprocessConnector
 
collectMetaData(List<Instance>) - Method in class org.dkpro.tc.core.task.uima.FeatureMetaData
 
CONFIGURATION_DKPRO_LAB - Static variable in interface org.dkpro.tc.core.Constants
 
configureStorageLocations(TaskContext, ResourceSpecifier, String, Map<String, String>, StorageService.AccessMode) - Static method in class org.dkpro.tc.core.task.MetaInfoTask
 
CONFUSIONMATRIX_KEY - Static variable in interface org.dkpro.tc.core.Constants
Name of the file that holds the confusion matrix
ConnectorConstants - Interface in org.dkpro.tc.core.task.uima
Defines names of parameters.
Constants - Interface in org.dkpro.tc.core
Basic constants that are used throughout the project
containsExcludePattern(String, List<String>) - Static method in class org.dkpro.tc.core.util.ReportUtils
 
CONTEXT_KEY - Static variable in class org.dkpro.tc.core.feature.ContextMetaCollector_ImplBase
 
CONTEXT_WIDTH - Static variable in class org.dkpro.tc.core.feature.ContextCollectorUFE
 
CONTEXT_WIDTH - Static variable in class org.dkpro.tc.core.feature.ContextMetaCollectorUtil
 
ContextCollectorUFE - Class in org.dkpro.tc.core.feature
 
ContextCollectorUFE() - Constructor for class org.dkpro.tc.core.feature.ContextCollectorUFE
 
ContextMetaCollector_ImplBase - Class in org.dkpro.tc.core.feature
Extract the context of each unit (in a sequence) and write it to a special file.
ContextMetaCollector_ImplBase() - Constructor for class org.dkpro.tc.core.feature.ContextMetaCollector_ImplBase
 
ContextMetaCollectorUtil - Class in org.dkpro.tc.core.feature
A static utility class for common methods and constants required by the context meta collection process.
ContextMetaCollectorUtil() - Constructor for class org.dkpro.tc.core.feature.ContextMetaCollectorUtil
 
createMetaData(JCas, String, String, String) - Method in class org.dkpro.tc.core.io.PairReader_ImplBase
 
createView(String, JCas, String, String, String, String) - Method in class org.dkpro.tc.core.io.PairReader_ImplBase
 
current() - Method in class org.dkpro.tc.core.task.DynamicDiscriminableFunctionDimension
 

D

DATA_INPUT_KEY - Static variable in class org.dkpro.tc.core.task.deep.VectorizationTask
 
DataWriter - Interface in org.dkpro.tc.core.io
Interface for data writers that write instances in the representation format used by machine learning tools.
DeepLearningConstants - Interface in org.dkpro.tc.core
Basic constants that are used throughout the project
DICTIONARIES - Static variable in interface org.dkpro.tc.core.PythonConstants
 
DictionaryMappingAnnotator - Class in org.dkpro.tc.core.task.deep.anno.res
 
DictionaryMappingAnnotator() - Constructor for class org.dkpro.tc.core.task.deep.anno.res.DictionaryMappingAnnotator
 
dictionaryPath - Variable in class org.dkpro.tc.core.task.deep.anno.res.LookupResourceAnnotator
 
didCollect() - Method in class org.dkpro.tc.core.task.uima.FeatureMetaData
 
DIM_APPLY_FEATURE_SELECTION - Static variable in interface org.dkpro.tc.core.Constants
Name of the discriminator that stores whether the feature selection should be applied to learning task or not
DIM_APPLY_INSTANCE_WEIGHTING - Static variable in interface org.dkpro.tc.core.Constants
Name of the discriminator that stores whether the instance weighting should be applied to learning task or not
DIM_ATTRIBUTE_EVALUATOR_ARGS - Static variable in interface org.dkpro.tc.core.Constants
Name of the discriminator that stores the feature selection class and a list of arguments to parametrize it
DIM_BIPARTITION_THRESHOLD - Static variable in interface org.dkpro.tc.core.Constants
Name of the discriminator that stores the bipartition threshold used in multi-label classification
DIM_CLASSIFICATION_ARGS - Static variable in interface org.dkpro.tc.core.Constants
Name of the discriminator that stores the additional argument passed to the classification algorithms
DIM_CROSS_VALIDATION_MANUAL_FOLDS - Static variable in interface org.dkpro.tc.core.Constants
Used for cross validation setups to enforce that the folds are created from the CAS as written by the reader i.e. no attempts will be made to create more CAS objects this offers the opportunity to write as many CAS files as folds are requested and take direct influence on how the cross validation will be performed
DIM_DATA_WRITER - Static variable in interface org.dkpro.tc.core.Constants
Name of the class that implements the data writer for a machine learning adapter
DIM_DEVELOPER_MODE - Static variable in interface org.dkpro.tc.core.Constants
Developer mode enables it to use unit feature extractors in documents
DIM_DICTIONARY_PATHS - Static variable in interface org.dkpro.tc.core.DeepLearningConstants
Path to tab-separated lookup lists
DIM_ENFORCE_MATCHING_FEATURES_DURING_TESTING - Static variable in interface org.dkpro.tc.core.Constants
Enforces that during writing of the test feature file only features are written that did occur during training.
DIM_FEATURE_FILTERS - Static variable in interface org.dkpro.tc.core.Constants
Name of the discriminator that stores the feature filters that are applied on the feature store
DIM_FEATURE_MODE - Static variable in interface org.dkpro.tc.core.Constants
Name of the discriminator that stores the learning mode
DIM_FEATURE_SEARCHER_ARGS - Static variable in interface org.dkpro.tc.core.Constants
Name of the discriminator that stores the feature selection search class and a list of arguments to parametrize it (single-label learning)
DIM_FEATURE_SET - Static variable in interface org.dkpro.tc.core.Constants
Name of the discriminator that stores the set of feature extractors
DIM_FEATURE_USE_SPARSE - Static variable in interface org.dkpro.tc.core.Constants
Flag to use sparse features during feature extraction
DIM_FILES_ROOT - Static variable in interface org.dkpro.tc.core.Constants
 
DIM_FILES_TRAINING - Static variable in interface org.dkpro.tc.core.Constants
 
DIM_FILES_VALIDATION - Static variable in interface org.dkpro.tc.core.Constants
 
DIM_LABEL_TRANSFORMATION_METHOD - Static variable in interface org.dkpro.tc.core.Constants
Name of the discriminator that stores a Mulan label transformation method (multi-label learning)
DIM_LEARNING_MODE - Static variable in interface org.dkpro.tc.core.Constants
Name of the discriminator that stores the learning mode
DIM_MAXIMUM_LENGTH - Static variable in interface org.dkpro.tc.core.DeepLearningConstants
 
DIM_MLA_CONFIGURATIONS - Static variable in interface org.dkpro.tc.core.Constants
Name of the discriminator that stores all machine learning adapter configurations that are being used in an experiment
DIM_NUM_LABELS_TO_KEEP - Static variable in interface org.dkpro.tc.core.Constants
Name of the discriminator that stores the number of features to be selected (multi-label learning)
DIM_NUM_TRAINING_FOLDS - Static variable in interface org.dkpro.tc.core.Constants
This dimensions contains the training folds on which this classification run is based
DIM_PRETRAINED_EMBEDDINGS - Static variable in interface org.dkpro.tc.core.DeepLearningConstants
 
DIM_PYTHON_INSTALLATION - Static variable in interface org.dkpro.tc.core.DeepLearningConstants
Path to the Python installation which should be used to execute the Python code.
DIM_RAM_WORKING_MEMORY - Static variable in interface org.dkpro.tc.core.DeepLearningConstants
For specifying the working memory.
DIM_READER_TEST - Static variable in interface org.dkpro.tc.core.Constants
Name of the discriminator that stores the reader for test data
DIM_READER_TRAIN - Static variable in interface org.dkpro.tc.core.Constants
Name of the discriminator that stores the reader for training data
DIM_READERS - Static variable in interface org.dkpro.tc.core.Constants
Name of the discriminator that stores a map containing either both (train and test) readers or only the train reader (i.e. cross-validation mode)
DIM_RECORD_CONTEXT - Static variable in interface org.dkpro.tc.core.Constants
Records the context of a unit/sequence in either unit mode or sequence mode as debugging help
DIM_SEED_VALUE - Static variable in interface org.dkpro.tc.core.DeepLearningConstants
For specifying a certain seed initialization value.
DIM_SKIP_SANITY_CHECKS - Static variable in interface org.dkpro.tc.core.Constants
Allows to skip the sanity checks that ensures that each classification target corresponds to an outcome.
DIM_USE_ONLY_VOCABULARY_COVERED_BY_EMBEDDING - Static variable in interface org.dkpro.tc.core.DeepLearningConstants
Words which are not contained in the embedding file will be removed.
DIM_VECTORIZE_TO_INTEGER - Static variable in interface org.dkpro.tc.core.DeepLearningConstants
When creating the vectorized representation of the input data one can directly vectorize and output integer-mapped vectors.
DKProTcDeepTestTask - Class in org.dkpro.tc.core.task
This is a facade-task that is used in experimental setups to avoid the need for providing the machine learning adapter when the experiment is wired together, i.e. train-test or cross-validation.
DKProTcDeepTestTask() - Constructor for class org.dkpro.tc.core.task.DKProTcDeepTestTask
 
DKProTcDeepTestTask(PreparationTask, EmbeddingTask, VectorizationTask, VectorizationTask, List<ReportBase>, String) - Constructor for class org.dkpro.tc.core.task.DKProTcDeepTestTask
 
DKProTcShallowSerializationTask - Class in org.dkpro.tc.core.task
 
DKProTcShallowSerializationTask(MetaInfoTask, ExtractFeaturesTask, OutcomeCollectionTask, File, String) - Constructor for class org.dkpro.tc.core.task.DKProTcShallowSerializationTask
 
DKProTcShallowTestTask - Class in org.dkpro.tc.core.task
This is a facade-task that is used in experimental setups to avoid the need for providing the machine learning adapter when the experiment is wired together, i.e. train-test or cross-validation.
DKProTcShallowTestTask() - Constructor for class org.dkpro.tc.core.task.DKProTcShallowTestTask
 
DKProTcShallowTestTask(ExtractFeaturesTask, ExtractFeaturesTask, OutcomeCollectionTask, List<Report>, String) - Constructor for class org.dkpro.tc.core.task.DKProTcShallowTestTask
 
DocumentMetaLogger - Class in org.dkpro.tc.core.task.uima
 
DocumentMetaLogger(File) - Constructor for class org.dkpro.tc.core.task.uima.DocumentMetaLogger
 
DocumentModeAnnotator - Class in org.dkpro.tc.core.task.uima
Document or Pair are a special kind of unit processing in which only one target which spans over the entire text span from 0 to documentTextLength().
DocumentModeAnnotator() - Constructor for class org.dkpro.tc.core.task.uima.DocumentModeAnnotator
 
DynamicDiscriminableFunctionDimension - Class in org.dkpro.tc.core.task
 
DynamicDiscriminableFunctionDimension(String, TcFeature...) - Constructor for class org.dkpro.tc.core.task.DynamicDiscriminableFunctionDimension
 

E

EMBEDDING - Static variable in interface org.dkpro.tc.core.PythonConstants
 
embedding - Variable in class org.dkpro.tc.core.task.deep.anno.FilterVocabularyByEmbeddingAnnotator
 
EMBEDDING_FOLDER - Static variable in interface org.dkpro.tc.core.ml.TcDeepLearningAdapter
 
EmbeddingTask - Class in org.dkpro.tc.core.task.deep
Prunes the embedding if one is provided
EmbeddingTask() - Constructor for class org.dkpro.tc.core.task.deep.EmbeddingTask
 
EMPTY_PREDICTION - Static variable in interface org.dkpro.tc.core.Constants
For empty predictions (no label value above the bipartition threshold)
EVAL_FILE_NAME - Static variable in interface org.dkpro.tc.core.Constants
Name of the file that holds the evaluation results
EVAL_FILE_NAME_PER_FOLD - Static variable in interface org.dkpro.tc.core.Constants
Name of the file that holds the evaluation results
execute(TaskContext) - Method in class org.dkpro.tc.core.task.deep.EmbeddingTask
 
execute(TaskContext) - Method in class org.dkpro.tc.core.task.OutcomeCollectionTask
 
ExperimentStarter - Class in org.dkpro.tc.core
Java wrapper class for the execution of Groovy scripts.
ExperimentStarter() - Constructor for class org.dkpro.tc.core.ExperimentStarter
 
ExperimentUtil - Class in org.dkpro.tc.core.util
 
ExperimentUtil() - Constructor for class org.dkpro.tc.core.util.ExperimentUtil
 
ExperimentUtil.NamedArrayList<T> - Class in org.dkpro.tc.core.util
A named list which can be used to label values which are lists (e.g. a list of feature extractors) in dimensions.
extract(JCas, TextClassificationTarget) - Method in class org.dkpro.tc.core.feature.ContextCollectorUFE
 
extract(JCas, TextClassificationTarget) - Method in class org.dkpro.tc.core.feature.NoopFeatureExtractor
 
ExtractFeaturesConnector - Class in org.dkpro.tc.core.task.uima
UIMA analysis engine that is used in the ExtractFeaturesTask to apply the feature extractors on each CAS.
ExtractFeaturesConnector() - Constructor for class org.dkpro.tc.core.task.uima.ExtractFeaturesConnector
 
ExtractFeaturesTask - Class in org.dkpro.tc.core.task
Executes all feature extractors and stores the feature representation (usually an Weka ARFF file) on disk.
ExtractFeaturesTask() - Constructor for class org.dkpro.tc.core.task.ExtractFeaturesTask
 

F

featureExtractors - Variable in class org.dkpro.tc.core.task.InitTask
 
featureExtractors - Variable in class org.dkpro.tc.core.task.uima.ExtractFeaturesConnector
 
featureExtractors - Variable in class org.dkpro.tc.core.task.uima.ValidityCheckConnector
 
FeatureFilter - Interface in org.dkpro.tc.core.feature.filter
Filter for feature store
FeatureMetaData - Class in org.dkpro.tc.core.task.uima
 
FeatureMetaData() - Constructor for class org.dkpro.tc.core.task.uima.FeatureMetaData
 
featureMode - Variable in class org.dkpro.tc.core.task.InitTask
 
featureMode - Variable in class org.dkpro.tc.core.task.ModelSerializationTask
 
featureModeLabel2int(String) - Static method in class org.dkpro.tc.core.util.ValidityCheckUtils
 
featureSet - Variable in class org.dkpro.tc.core.task.ModelSerializationTask
 
FILE_COMBINED_BASELINE_MAJORITY_OUTCOME_KEY - Static variable in interface org.dkpro.tc.core.Constants
Name of the global file which contains a prediction with the majority class for all test instances.
FILE_COMBINED_BASELINE_RANDOM_OUTCOME_KEY - Static variable in interface org.dkpro.tc.core.Constants
Name of the global file which contains a prediction with a random class for all test instances.
FILE_COMBINED_ID_OUTCOME_KEY - Static variable in interface org.dkpro.tc.core.Constants
Name of the global file which contains the classifier predictions and gold standard for all test instances.
FILE_CONFIGURATION_MAPPING - Static variable in interface org.dkpro.tc.core.Constants
Name of the file containing the mapping from the id number to the entire dimension set of an experiment.
FILE_CONFUSION_MATRIX - Static variable in interface org.dkpro.tc.core.Constants
 
FILE_SCORE_PER_CATEGORY - Static variable in interface org.dkpro.tc.core.Constants
 
FILENAME_DATA_IN_CLASSIFIER_FORMAT - Static variable in interface org.dkpro.tc.core.Constants
File name for storing the training / testing data file
FILENAME_DOCUMENT_META_DATA_LOG - Static variable in interface org.dkpro.tc.core.Constants
 
FILENAME_FEATURES - Static variable in interface org.dkpro.tc.core.Constants
Name of the file which holds the names of all used features
FILENAME_FEATURES_DESCRIPTION - Static variable in interface org.dkpro.tc.core.Constants
 
FILENAME_INSTANCE_MAPPING - Static variable in interface org.dkpro.tc.core.DeepLearningConstants
 
FILENAME_INSTANCE_VECTOR - Static variable in interface org.dkpro.tc.core.DeepLearningConstants
 
FILENAME_MAXIMUM_LENGTH - Static variable in interface org.dkpro.tc.core.DeepLearningConstants
 
FILENAME_OUTCOME_MAPPING - Static variable in interface org.dkpro.tc.core.DeepLearningConstants
 
FILENAME_OUTCOME_VECTOR - Static variable in interface org.dkpro.tc.core.DeepLearningConstants
 
FILENAME_OUTCOMES - Static variable in interface org.dkpro.tc.core.Constants
 
FILENAME_OUTCOMES - Static variable in interface org.dkpro.tc.core.DeepLearningConstants
 
FILENAME_PREDICTION_OUT - Static variable in interface org.dkpro.tc.core.DeepLearningConstants
 
FILENAME_PREDICTIONS - Static variable in interface org.dkpro.tc.core.Constants
File name for storing the predictions in the classifier specific output data format
FILENAME_PRUNED_EMBEDDING - Static variable in interface org.dkpro.tc.core.DeepLearningConstants
 
FILENAME_TARGET_ID_TO_INDEX - Static variable in interface org.dkpro.tc.core.DeepLearningConstants
File that holds the mapping of the input unit, i.e. which document, word or sequence to the position within the processing sequence.
FILENAME_TOKEN - Static variable in interface org.dkpro.tc.core.DeepLearningConstants
 
FILENAME_USERCODE_PARAMETERS - Static variable in interface org.dkpro.tc.core.DeepLearningConstants
File that stores the parameter list the user code is expected to read and configure the user code accordingly.
FILENAME_VOCABULARY - Static variable in interface org.dkpro.tc.core.DeepLearningConstants
 
filter(File) - Method in class org.dkpro.tc.core.task.uima.InstanceFilter
 
FilterVocabularyByEmbeddingAnnotator - Class in org.dkpro.tc.core.task.deep.anno
 
FilterVocabularyByEmbeddingAnnotator() - Constructor for class org.dkpro.tc.core.task.deep.anno.FilterVocabularyByEmbeddingAnnotator
 
FM_DOCUMENT - Static variable in interface org.dkpro.tc.core.Constants
Feature mode: document classification
FM_PAIR - Static variable in interface org.dkpro.tc.core.Constants
Feature mode: unit classification
FM_SEQUENCE - Static variable in interface org.dkpro.tc.core.Constants
Feature mode: sequence classification
FM_UNIT - Static variable in interface org.dkpro.tc.core.Constants
Feature mode: unit classification
folder - Variable in class org.dkpro.tc.core.feature.ContextMetaCollector_ImplBase
 

G

GENERIC_FEATURE_FILE - Static variable in interface org.dkpro.tc.core.Constants
 
getAblationTestFeatures(TcFeature...) - Static method in class org.dkpro.tc.core.util.ExperimentUtil
Returns a pre-defined dimension with feature extractor sets configured for an ablation test.
getActualValue() - Method in class org.dkpro.tc.core.util.ExperimentUtil.NamedArrayList
 
getAdapter(List<Object>) - Static method in class org.dkpro.tc.core.util.TaskUtils
 
getAnalysisEngineDescription(TaskContext) - Method in class org.dkpro.tc.core.task.deep.InitTaskDeep
 
getAnalysisEngineDescription(TaskContext) - Method in class org.dkpro.tc.core.task.deep.PreparationTask
 
getAnalysisEngineDescription(TaskContext) - Method in class org.dkpro.tc.core.task.deep.VectorizationTask
 
getAnalysisEngineDescription(TaskContext) - Method in class org.dkpro.tc.core.task.ExtractFeaturesTask
 
getAnalysisEngineDescription(TaskContext) - Method in class org.dkpro.tc.core.task.InitTask
 
getAnalysisEngineDescription(TaskContext) - Method in class org.dkpro.tc.core.task.MetaInfoTask
 
getClass(ExternalResourceDescription) - Static method in class org.dkpro.tc.core.task.MetaInfoTask
 
getCollectionId1() - Method in interface org.dkpro.tc.core.io.PairReader
ID of the collection the first document was sampled from
getCollectionId2() - Method in interface org.dkpro.tc.core.io.PairReader
ID of the collection the second document was sampled from
getCollectionReaderDescription(TaskContext) - Method in class org.dkpro.tc.core.task.deep.InitTaskDeep
 
getCollectionReaderDescription(TaskContext) - Method in class org.dkpro.tc.core.task.deep.PreparationTask
 
getCollectionReaderDescription(TaskContext) - Method in class org.dkpro.tc.core.task.deep.VectorizationTask
 
getCollectionReaderDescription(TaskContext) - Method in class org.dkpro.tc.core.task.ExtractFeaturesTask
 
getCollectionReaderDescription(TaskContext) - Method in class org.dkpro.tc.core.task.InitTask
 
getCollectionReaderDescription(TaskContext) - Method in class org.dkpro.tc.core.task.MetaInfoTask
 
getCurrentTcVersionFromJar() - Method in interface org.dkpro.tc.core.ml.ModelVersionIO
 
getCurrentTcVersionFromWorkspace() - Method in interface org.dkpro.tc.core.ml.ModelVersionIO
 
getDataWriterClass() - Method in interface org.dkpro.tc.core.ml.TcShallowLearningAdapter
 
getDiscriminatorValue() - Method in class org.dkpro.tc.core.util.ExperimentUtil.NamedArrayList
 
getDocumentId1() - Method in interface org.dkpro.tc.core.io.PairReader
ID of the first document
getDocumentId2() - Method in interface org.dkpro.tc.core.io.PairReader
ID of the second document
getFeatureExtractorConnector(String, String, String, String, boolean, boolean, boolean, boolean, List<String>, List<ExternalResourceDescription>, String[]) - Static method in class org.dkpro.tc.core.util.TaskUtils
 
getFeatureNames() - Method in class org.dkpro.tc.core.task.uima.FeatureMetaData
 
getFoldDimensionBundle(String[], int) - Method in interface org.dkpro.tc.core.ml.TcShallowLearningAdapter
 
getGenericFileName() - Method in interface org.dkpro.tc.core.io.DataWriter
 
getGenericFileName() - Method in class org.dkpro.tc.core.io.JsonDataWriter
 
getInstances(JCas, boolean) - Method in class org.dkpro.tc.core.task.uima.InstanceExtractor
 
getLanguage1() - Method in interface org.dkpro.tc.core.io.PairReader
Language of the first document
getLanguage2() - Method in interface org.dkpro.tc.core.io.PairReader
Language of the second document
getLoadModelConnectorClass() - Method in interface org.dkpro.tc.core.ml.TcShallowLearningAdapter
 
getMajorityBaselineIdReportClass() - Method in interface org.dkpro.tc.core.ml.TcDeepLearningAdapter
This report is added for classification experiments and provides the majority class results as baseline
getMajorityClassBaselineIdReportClass() - Method in interface org.dkpro.tc.core.ml.TcShallowLearningAdapter
This report is always added to provide baseline values.
getMetaCollectionReport() - Method in interface org.dkpro.tc.core.ml.TcDeepLearningAdapter
An optional report which is intended to record the environment versions of non-Java frameworks e.g.
getMetaCollectorClasses(Map<String, Object>) - Method in class org.dkpro.tc.core.feature.ContextCollectorUFE
 
getName() - Method in interface org.dkpro.tc.core.ml.TcShallowLearningAdapter
Returns the name of the machine learning backend
getNext(JCas) - Method in class org.dkpro.tc.core.io.PairReader_ImplBase
 
getOutcomeIdReportClass() - Method in interface org.dkpro.tc.core.ml.TcDeepLearningAdapter
This report is always added to testTask reports by default in ExperimentCrossValidation and ExperimentTrainTest.
getOutcomeIdReportClass() - Method in interface org.dkpro.tc.core.ml.TcShallowLearningAdapter
This report is always added to testTask reports by default in ExperimentCrossValidation and ExperimentTrainTest.
getOutcomes(JCas, AnnotationFS) - Method in class org.dkpro.tc.core.task.uima.InstanceExtractor
 
getPreprocessing() - Method in class org.dkpro.tc.core.task.deep.InitTaskDeep
 
getPreprocessing() - Method in class org.dkpro.tc.core.task.InitTask
 
getRandomBaselineIdReportClass() - Method in interface org.dkpro.tc.core.ml.TcDeepLearningAdapter
This report is added for classification experiments and provides a random baseline
getRandomBaselineIdReportClass() - Method in interface org.dkpro.tc.core.ml.TcShallowLearningAdapter
This report is always added to provide a random baseline.
getSaveModelTask() - Method in interface org.dkpro.tc.core.ml.TcShallowLearningAdapter
 
getSequenceInstances(JCas, boolean) - Method in class org.dkpro.tc.core.task.uima.InstanceExtractor
 
getSingleFeatures(String...) - Static method in class org.dkpro.tc.core.util.ExperimentUtil
Returns a pre-defined dimension with feature extractor sets.
getSingleInstance(JCas, boolean) - Method in class org.dkpro.tc.core.task.uima.InstanceExtractor
 
getTaskType(Map<String, String>) - Static method in class org.dkpro.tc.core.task.TcTaskTypeUtil
 
getTestTask() - Method in interface org.dkpro.tc.core.ml.TcDeepLearningAdapter
 
getTestTask() - Method in interface org.dkpro.tc.core.ml.TcShallowLearningAdapter
 
getText1() - Method in interface org.dkpro.tc.core.io.PairReader
The text of the first document in the pair
getText2() - Method in interface org.dkpro.tc.core.io.PairReader
The text of the second document in the pair
getTextClassificationOutcome(JCas, TextClassificationTarget) - Method in interface org.dkpro.tc.core.initializer.SequenceOutcomeAnnotator
 
getTextClassificationOutcome(JCas) - Method in interface org.dkpro.tc.core.initializer.SingleLabelOutcomeAnnotator
Returns the text classification outcome for the current single-label instance
getTextClassificationOutcomeWeight(JCas, TextClassificationTarget) - Method in class org.dkpro.tc.core.initializer.SequenceOutcomeAnnotator_ImplBase
 
getTextClassificationOutcomeWeight(JCas) - Method in class org.dkpro.tc.core.initializer.SingleLabelOutcomeAnnotator_ImplBase
This methods adds a (default) weight to instances.
getTitle1() - Method in interface org.dkpro.tc.core.io.PairReader
Title of the first document
getTitle2() - Method in interface org.dkpro.tc.core.io.PairReader
Title of the second document
getType(StorageService, String) - Static method in class org.dkpro.tc.core.task.TcTaskTypeUtil
 
getUnitInstances(JCas, boolean) - Method in class org.dkpro.tc.core.task.uima.InstanceExtractor
 
GroovyExperiment - Interface in org.dkpro.tc.core
This interface enforces Groovy experiment scripts to have the run method.

H

hasNext() - Method in class org.dkpro.tc.core.feature.filter.JsonInstanceIterator
 
hasNext() - Method in class org.dkpro.tc.core.task.DynamicDiscriminableFunctionDimension
 

I

ID_CONTEXT_DELIMITER - Static variable in class org.dkpro.tc.core.feature.ContextMetaCollectorUtil
 
ID_CONTEXT_KEY - Static variable in interface org.dkpro.tc.core.Constants
Name of the meta task file which holds the tc unit text and context for all test instances.
ID_DETAILED_OUTCOME_KEY - Static variable in interface org.dkpro.tc.core.Constants
Name of the results file which stores detailed outcome results with id and tc unit text
ID_FEATURE_NAME - Static variable in interface org.dkpro.tc.core.Constants
Name of the instance ID feature
ID_OUTCOME_KEY - Static variable in interface org.dkpro.tc.core.Constants
Name of the file which folds the classifier predictions and gold standard for all test instances.
IdentificationCollector - Class in org.dkpro.tc.core.task.deep.anno
This annotator creates a mapping of the order of the TextClassificationOutcomes to an index.
IdentificationCollector() - Constructor for class org.dkpro.tc.core.task.deep.anno.IdentificationCollector
 
init(File, boolean, String, String, boolean, String[]) - Method in interface org.dkpro.tc.core.io.DataWriter
 
init(File, boolean, String, String, boolean, String[]) - Method in class org.dkpro.tc.core.io.JsonDataWriter
 
INITIAL_VIEW - Static variable in interface org.dkpro.tc.core.Constants
Name of the initial view
initialize(ResourceSpecifier, Map<String, Object>) - Method in class org.dkpro.tc.core.feature.ContextCollectorUFE
 
initialize(UimaContext) - Method in class org.dkpro.tc.core.feature.ContextMetaCollector_ImplBase
 
initialize(UimaContext) - Method in class org.dkpro.tc.core.task.deep.anno.FilterVocabularyByEmbeddingAnnotator
 
initialize(UimaContext) - Method in class org.dkpro.tc.core.task.deep.anno.IdentificationCollector
 
initialize(UimaContext) - Method in class org.dkpro.tc.core.task.deep.anno.MappingAnnotator
 
initialize(UimaContext) - Method in class org.dkpro.tc.core.task.deep.anno.MaxLenDoc2Label
 
initialize(UimaContext) - Method in class org.dkpro.tc.core.task.deep.anno.MaxLenSeq2Label
 
initialize(UimaContext) - Method in class org.dkpro.tc.core.task.deep.anno.MetaDataCollectionAnnotator
 
initialize(UimaContext) - Method in class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2Regression
 
initialize(UimaContext) - Method in class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2SingleLabel
 
initialize(UimaContext) - Method in class org.dkpro.tc.core.task.deep.anno.VectorizationDocDoc2MultiLabel
 
initialize(UimaContext) - Method in class org.dkpro.tc.core.task.deep.anno.VectorizationSeq2SeqOfLabel
 
initialize(UimaContext) - Method in class org.dkpro.tc.core.task.deep.anno.VocabularyOutcomeCollector
 
initialize(TaskContext) - Method in class org.dkpro.tc.core.task.DKProTcDeepTestTask
 
initialize(TaskContext) - Method in class org.dkpro.tc.core.task.DKProTcShallowSerializationTask
 
initialize(TaskContext) - Method in class org.dkpro.tc.core.task.DKProTcShallowTestTask
 
initialize(UimaContext) - Method in class org.dkpro.tc.core.task.uima.ExtractFeaturesConnector
 
initialize(UimaContext) - Method in class org.dkpro.tc.core.task.uima.PreprocessConnector
 
initialize(UimaContext) - Method in class org.dkpro.tc.core.task.uima.ValidityCheckConnector
 
initMachineLearningAdapter(File) - Method in class org.dkpro.tc.core.ml.ModelSerialization_ImplBase
 
InitTask - Class in org.dkpro.tc.core.task
Initialization of the TC pipeline 1) checks the validity of the setup 2) runs the preprocessing 3) runs the outcome/unit annotator 4) runs additional validity checks that check the outcome/unit setup
InitTask() - Constructor for class org.dkpro.tc.core.task.InitTask
 
InitTaskDeep - Class in org.dkpro.tc.core.task.deep
 
InitTaskDeep() - Constructor for class org.dkpro.tc.core.task.deep.InitTaskDeep
 
INPUT_KEY - Static variable in class org.dkpro.tc.core.task.ExtractFeaturesTask
Public name of the folder where the input documents are stored within the task
INPUT_KEY - Static variable in class org.dkpro.tc.core.task.MetaInfoTask
Public name of the folder where meta information will be stored within the task
INPUT_KEY_TEST - Static variable in class org.dkpro.tc.core.task.deep.PreparationTask
 
INPUT_KEY_TRAIN - Static variable in class org.dkpro.tc.core.task.deep.PreparationTask
Public name of the folder where meta information will be stored within the task
INPUT_MAPPING - Static variable in class org.dkpro.tc.core.task.deep.EmbeddingTask
Public name of the folder where meta information will be stored within the task
InstanceExtractor - Class in org.dkpro.tc.core.task.uima
 
InstanceExtractor(String, FeatureExtractorResource_ImplBase[], boolean) - Constructor for class org.dkpro.tc.core.task.uima.InstanceExtractor
 
InstanceFilter - Class in org.dkpro.tc.core.task.uima
 
InstanceFilter(String[], boolean) - Constructor for class org.dkpro.tc.core.task.uima.InstanceFilter
 
InstanceIdFeature - Class in org.dkpro.tc.core.feature
 
InstanceIdFeature() - Constructor for class org.dkpro.tc.core.feature.InstanceIdFeature
 
instanceTypeName - Variable in class org.dkpro.tc.core.task.deep.anno.MappingAnnotator
 
instanceTypeName - Variable in class org.dkpro.tc.core.task.deep.anno.MaxLenDoc2Label
 
instanceTypeName - Variable in class org.dkpro.tc.core.task.deep.anno.MaxLenSeq2Label
 
instanceTypeName - Variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2Regression
 
instanceTypeName - Variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2SingleLabel
 
instanceTypeName - Variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDocDoc2MultiLabel
 
instanceTypeName - Variable in class org.dkpro.tc.core.task.deep.anno.VectorizationSeq2SeqOfLabel
 
instanceTypeName - Variable in class org.dkpro.tc.core.task.deep.anno.VocabularyOutcomeCollector
 
isApplicableForTesting() - Method in interface org.dkpro.tc.core.feature.filter.FeatureFilter
Whether the filter is applicable on testing instances
isApplicableForTraining() - Method in interface org.dkpro.tc.core.feature.filter.FeatureFilter
Whether the filter is applicable on training instances
isCrossValidationTask(StorageService, String) - Static method in class org.dkpro.tc.core.task.TcTaskTypeUtil
 
isFacadeTask(StorageService, String) - Static method in class org.dkpro.tc.core.task.TcTaskTypeUtil
 
isFeatureExtractionTestTask(StorageService, String) - Static method in class org.dkpro.tc.core.task.TcTaskTypeUtil
 
isFeatureExtractionTrainTask(StorageService, String) - Static method in class org.dkpro.tc.core.task.TcTaskTypeUtil
 
isInitialized() - Method in class org.dkpro.tc.core.task.DKProTcDeepTestTask
 
isInitialized() - Method in class org.dkpro.tc.core.task.DKProTcShallowSerializationTask
 
isInitialized() - Method in class org.dkpro.tc.core.task.DKProTcShallowTestTask
 
isInitTestTask(StorageService, String) - Static method in class org.dkpro.tc.core.task.TcTaskTypeUtil
 
isInitTrainTask(StorageService, String) - Static method in class org.dkpro.tc.core.task.TcTaskTypeUtil
 
isMachineLearningAdapterTask(StorageService, String) - Static method in class org.dkpro.tc.core.task.TcTaskTypeUtil
 
isMetaTask(StorageService, String) - Static method in class org.dkpro.tc.core.task.TcTaskTypeUtil
 
isTesting - Variable in class org.dkpro.tc.core.task.InitTask
 

J

JSON_FILE_NAME - Static variable in class org.dkpro.tc.core.io.JsonDataWriter
Public name of the JSON dump file
JsonDataWriter - Class in org.dkpro.tc.core.io
Writes the feature store to a JSON file.
JsonDataWriter() - Constructor for class org.dkpro.tc.core.io.JsonDataWriter
 
JsonInstanceIterator - Class in org.dkpro.tc.core.feature.filter
 
JsonInstanceIterator(File) - Constructor for class org.dkpro.tc.core.feature.filter.JsonInstanceIterator
 

L

learningMode - Variable in class org.dkpro.tc.core.task.InitTask
 
learningMode - Variable in class org.dkpro.tc.core.task.ModelSerializationTask
 
learningModeLabel2int(String) - Static method in class org.dkpro.tc.core.util.ValidityCheckUtils
 
LEAVE_ONE_OUT - Static variable in interface org.dkpro.tc.core.Constants
Special value for the number of folds, that is used to indicate leave-one-out setups
LEFT_CONTEXT_SEPARATOR - Static variable in class org.dkpro.tc.core.feature.ContextMetaCollectorUtil
 
ListMappingAnnotator - Class in org.dkpro.tc.core.task.deep.anno.res
 
ListMappingAnnotator() - Constructor for class org.dkpro.tc.core.task.deep.anno.res.ListMappingAnnotator
 
LM_MULTI_LABEL - Static variable in interface org.dkpro.tc.core.Constants
Learning mode: multi label
LM_REGRESSION - Static variable in interface org.dkpro.tc.core.Constants
Learning mode: regression
LM_SINGLE_LABEL - Static variable in interface org.dkpro.tc.core.Constants
Learning mode: single label
loadTcVersionFromModel(File) - Method in class org.dkpro.tc.core.ml.ModelSerialization_ImplBase
 
logger - Variable in class org.dkpro.tc.core.ml.ModelSerialization_ImplBase
 
LookupResourceAnnotator - Class in org.dkpro.tc.core.task.deep.anno.res
 
LookupResourceAnnotator() - Constructor for class org.dkpro.tc.core.task.deep.anno.res.LookupResourceAnnotator
 
lowestIndex() - Method in interface org.dkpro.tc.core.ml.TcDeepLearningAdapter
The lowest index from which transformation into integer values will start.

M

MACHINE_LEARNING_BACKEND_NAME - Static variable in interface org.dkpro.tc.core.Constants
 
MAPPING_INPUT_KEY - Static variable in class org.dkpro.tc.core.task.deep.VectorizationTask
 
MappingAnnotator - Class in org.dkpro.tc.core.task.deep.anno
 
MappingAnnotator() - Constructor for class org.dkpro.tc.core.task.deep.anno.MappingAnnotator
 
MAX_LEN - Static variable in interface org.dkpro.tc.core.PythonConstants
 
maximumLength - Variable in class org.dkpro.tc.core.task.deep.anno.IdentificationCollector
 
MaxLenDoc2Label - Class in org.dkpro.tc.core.task.deep.anno
 
MaxLenDoc2Label() - Constructor for class org.dkpro.tc.core.task.deep.anno.MaxLenDoc2Label
 
MaxLenSeq2Label - Class in org.dkpro.tc.core.task.deep.anno
 
MaxLenSeq2Label() - Constructor for class org.dkpro.tc.core.task.deep.anno.MaxLenSeq2Label
 
META_COLLECTOR_OVERRIDE - Static variable in interface org.dkpro.tc.core.Constants
 
META_EXTRACTOR_OVERRIDE - Static variable in interface org.dkpro.tc.core.Constants
 
META_KEY - Static variable in class org.dkpro.tc.core.task.MetaInfoTask
Public name of the task key
MetaCollectionLogger - Class in org.dkpro.tc.core.task.uima
 
MetaCollectionLogger() - Constructor for class org.dkpro.tc.core.task.uima.MetaCollectionLogger
 
MetaDataCollectionAnnotator - Class in org.dkpro.tc.core.task.deep.anno
This annotator writes the document meta data, the id and title stored in DocumentMetaData to a file.
MetaDataCollectionAnnotator() - Constructor for class org.dkpro.tc.core.task.deep.anno.MetaDataCollectionAnnotator
 
MetaInfoTask - Class in org.dkpro.tc.core.task
Iterates over all documents and stores required collection-level meta data, e.g. which n-grams appear in the documents.
MetaInfoTask() - Constructor for class org.dkpro.tc.core.task.MetaInfoTask
 
mode - Variable in class org.dkpro.tc.core.task.deep.anno.IdentificationCollector
 
MODEL_BIPARTITION_THRESHOLD - Static variable in interface org.dkpro.tc.core.Constants
Name of the file which holds the bipartition threshold
MODEL_CLASS_LABELS - Static variable in interface org.dkpro.tc.core.Constants
Name of the file which holds the class labels
MODEL_CLASSIFIER - Static variable in interface org.dkpro.tc.core.Constants
Name of the file which holds the classifier
MODEL_FEATURE_CLASS_FOLDER - Static variable in interface org.dkpro.tc.core.Constants
Name of the file which holds the feature extractors
MODEL_FEATURE_EXTRACTOR_CONFIGURATION - Static variable in interface org.dkpro.tc.core.Constants
Name of the file which holds the global UIMA parameters
MODEL_FEATURE_MODE - Static variable in interface org.dkpro.tc.core.Constants
Name of the file which holds the feature mode
MODEL_FEATURE_NAMES - Static variable in interface org.dkpro.tc.core.Constants
Name of the file which holds the feature names
MODEL_FEATURE_NAMES_SERIALIZED - Static variable in interface org.dkpro.tc.core.Constants
Name of the file which holds the feature names (non-human-readable)
MODEL_LEARNING_MODE - Static variable in interface org.dkpro.tc.core.Constants
Name of the file which holds the feature mode
MODEL_META - Static variable in interface org.dkpro.tc.core.Constants
Name of the file which holds the model meta data
MODEL_TC_VERSION - Static variable in interface org.dkpro.tc.core.Constants
Tc version under which this model has been trained
ModelSerialization_ImplBase - Class in org.dkpro.tc.core.ml
 
ModelSerialization_ImplBase() - Constructor for class org.dkpro.tc.core.ml.ModelSerialization_ImplBase
 
ModelSerializationTask - Class in org.dkpro.tc.core.task
 
ModelSerializationTask() - Constructor for class org.dkpro.tc.core.task.ModelSerializationTask
 
ModelVersionIO - Interface in org.dkpro.tc.core.ml
 

N

NamedArrayList() - Constructor for class org.dkpro.tc.core.util.ExperimentUtil.NamedArrayList
 
NamedArrayList(Collection<? extends T>) - Constructor for class org.dkpro.tc.core.util.ExperimentUtil.NamedArrayList
 
NamedArrayList(int) - Constructor for class org.dkpro.tc.core.util.ExperimentUtil.NamedArrayList
 
next() - Method in class org.dkpro.tc.core.feature.filter.JsonInstanceIterator
 
next() - Method in class org.dkpro.tc.core.task.DynamicDiscriminableFunctionDimension
 
NGRAM_GLUE - Static variable in interface org.dkpro.tc.core.Constants
This is the character for joining strings for pair ngrams.
NoopFeatureExtractor - Class in org.dkpro.tc.core.feature
 
NoopFeatureExtractor() - Constructor for class org.dkpro.tc.core.feature.NoopFeatureExtractor
 

O

org.dkpro.tc.core - package org.dkpro.tc.core
 
org.dkpro.tc.core.feature - package org.dkpro.tc.core.feature
 
org.dkpro.tc.core.feature.filter - package org.dkpro.tc.core.feature.filter
 
org.dkpro.tc.core.initializer - package org.dkpro.tc.core.initializer
 
org.dkpro.tc.core.io - package org.dkpro.tc.core.io
 
org.dkpro.tc.core.ml - package org.dkpro.tc.core.ml
 
org.dkpro.tc.core.task - package org.dkpro.tc.core.task
 
org.dkpro.tc.core.task.deep - package org.dkpro.tc.core.task.deep
 
org.dkpro.tc.core.task.deep.anno - package org.dkpro.tc.core.task.deep.anno
 
org.dkpro.tc.core.task.deep.anno.res - package org.dkpro.tc.core.task.deep.anno.res
 
org.dkpro.tc.core.task.uima - package org.dkpro.tc.core.task.uima
 
org.dkpro.tc.core.util - package org.dkpro.tc.core.util
 
OutcomeCollectionTask - Class in org.dkpro.tc.core.task
The InitTask writes the outcomes they encountered.
OutcomeCollectionTask() - Constructor for class org.dkpro.tc.core.task.OutcomeCollectionTask
 
OutcomeCollector - Class in org.dkpro.tc.core.task.uima
 
OutcomeCollector() - Constructor for class org.dkpro.tc.core.task.uima.OutcomeCollector
 
OUTCOMES_INPUT_KEY - Static variable in interface org.dkpro.tc.core.Constants
 
OUTPUT_KEY - Static variable in class org.dkpro.tc.core.task.deep.EmbeddingTask
Public name of the task key
OUTPUT_KEY - Static variable in class org.dkpro.tc.core.task.deep.PreparationTask
Public name of the task key
OUTPUT_KEY - Static variable in class org.dkpro.tc.core.task.deep.VectorizationTask
 
OUTPUT_KEY - Static variable in class org.dkpro.tc.core.task.ExtractFeaturesTask
Public name of the folder where the extracted features are stored within the task
OUTPUT_KEY - Static variable in class org.dkpro.tc.core.task.OutcomeCollectionTask
Public name of the task key
OUTPUT_KEY_TEST - Static variable in class org.dkpro.tc.core.task.deep.InitTaskDeep
Public name of the folder under which the preprocessed test data file will be stored within the task
OUTPUT_KEY_TEST - Static variable in class org.dkpro.tc.core.task.InitTask
Public name of the folder under which the preprocessed test data file will be stored within the task
OUTPUT_KEY_TRAIN - Static variable in class org.dkpro.tc.core.task.deep.InitTaskDeep
Public name of the folder under which the preprocessed training data file will be stored within the task
OUTPUT_KEY_TRAIN - Static variable in class org.dkpro.tc.core.task.InitTask
Public name of the folder under which the preprocessed training data file will be stored within the task
outputDirectory - Variable in class org.dkpro.tc.core.ml.ModelSerialization_ImplBase
 
outputFolder - Variable in class org.dkpro.tc.core.task.ModelSerializationTask
 

P

PairReader - Interface in org.dkpro.tc.core.io
 
PairReader_ImplBase - Class in org.dkpro.tc.core.io
Abstract base class for readers used in pair-classification.
PairReader_ImplBase() - Constructor for class org.dkpro.tc.core.io.PairReader_ImplBase
 
PARAM_ADD_INSTANCE_ID - Static variable in class org.dkpro.tc.core.task.uima.ExtractFeaturesConnector
Whether an ID should be added to each instance in the feature file
PARAM_APPLY_WEIGHTING - Static variable in interface org.dkpro.tc.core.task.uima.ConnectorConstants
Whether to turn on instance weighting.
PARAM_BIPARTITION_THRESHOLD - Static variable in interface org.dkpro.tc.core.task.uima.ConnectorConstants
In case of multi-labeling, the threshold used to create bipartitions from rankings
PARAM_CONTEXT_FOLDER - Static variable in class org.dkpro.tc.core.feature.ContextMetaCollector_ImplBase
 
PARAM_DATA_WRITER_CLASS - Static variable in interface org.dkpro.tc.core.task.uima.ConnectorConstants
The data writer class to be used for writing features
PARAM_DICTIONARY_PATH - Static variable in class org.dkpro.tc.core.task.deep.anno.res.LookupResourceAnnotator
 
PARAM_EMBEDDING - Static variable in class org.dkpro.tc.core.task.deep.anno.FilterVocabularyByEmbeddingAnnotator
 
PARAM_ENFORCE_MATCHING_FEATURES - Static variable in interface org.dkpro.tc.core.task.uima.ConnectorConstants
If the matching of features in training and testing phase shall be enforced - this will slow down experiment execution considerably if activated
PARAM_FEATURE_EXTRACTORS - Static variable in interface org.dkpro.tc.core.task.uima.ConnectorConstants
Array of feature extractors to be used
PARAM_FEATURE_FILTERS - Static variable in interface org.dkpro.tc.core.task.uima.ConnectorConstants
Array of feature filters to be used
PARAM_FEATURE_MODE - Static variable in interface org.dkpro.tc.core.task.uima.ConnectorConstants
The feature mode, e.g. document, pair, unit, or sequence
PARAM_FEATURE_MODE - Static variable in class org.dkpro.tc.core.task.uima.DocumentModeAnnotator
 
PARAM_INSTANCE_ANNOTATION - Static variable in class org.dkpro.tc.core.task.deep.anno.MappingAnnotator
 
PARAM_INSTANCE_ANNOTATION - Static variable in class org.dkpro.tc.core.task.deep.anno.MaxLenDoc2Label
 
PARAM_INSTANCE_ANNOTATION - Static variable in class org.dkpro.tc.core.task.deep.anno.MaxLenSeq2Label
 
PARAM_INSTANCE_ANNOTATION - Static variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2Regression
 
PARAM_INSTANCE_ANNOTATION - Static variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2SingleLabel
 
PARAM_INSTANCE_ANNOTATION - Static variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDocDoc2MultiLabel
 
PARAM_INSTANCE_ANNOTATION - Static variable in class org.dkpro.tc.core.task.deep.anno.VectorizationSeq2SeqOfLabel
 
PARAM_INSTANCE_ANNOTATION - Static variable in class org.dkpro.tc.core.task.deep.anno.VocabularyOutcomeCollector
 
PARAM_IS_TESTING - Static variable in interface org.dkpro.tc.core.task.uima.ConnectorConstants
Whether we are extracting for training or testing.
PARAM_LEARNING_MODE - Static variable in interface org.dkpro.tc.core.task.uima.ConnectorConstants
The learning mode, e.g. single-label, multi-label or regression
PARAM_MODE - Static variable in class org.dkpro.tc.core.task.deep.anno.IdentificationCollector
 
PARAM_OUTCOMES - Static variable in interface org.dkpro.tc.core.task.uima.ConnectorConstants
Array of outcomes
PARAM_OUTPUT_DIRECTORY - Static variable in class org.dkpro.tc.core.ml.ModelSerialization_ImplBase
 
PARAM_OUTPUT_DIRECTORY - Static variable in class org.dkpro.tc.core.task.uima.ExtractFeaturesConnector
Directory in which the extracted features will be stored
PARAM_PREPARATION_DIRECTORY - Static variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2Regression
 
PARAM_PREPARATION_DIRECTORY - Static variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2SingleLabel
 
PARAM_PREPARATION_DIRECTORY - Static variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDocDoc2MultiLabel
 
PARAM_PREPARATION_DIRECTORY - Static variable in class org.dkpro.tc.core.task.deep.anno.VectorizationSeq2SeqOfLabel
 
PARAM_REQUIRED_TYPES - Static variable in interface org.dkpro.tc.core.task.uima.ConnectorConstants
If a sparse feature representation shall be used
PARAM_SEQUENCE_ANNOTATION - Static variable in class org.dkpro.tc.core.task.deep.anno.IdentificationCollector
 
PARAM_SEQUENCE_ANNOTATION - Static variable in class org.dkpro.tc.core.task.deep.anno.MaxLenSeq2Label
 
PARAM_SEQUENCE_ANNOTATION - Static variable in class org.dkpro.tc.core.task.deep.anno.VectorizationSeq2SeqOfLabel
 
PARAM_START_INDEX_INSTANCES - Static variable in class org.dkpro.tc.core.task.deep.anno.MappingAnnotator
 
PARAM_START_INDEX_OUTCOMES - Static variable in class org.dkpro.tc.core.task.deep.anno.MappingAnnotator
 
PARAM_TARGET_DIRECTORY - Static variable in class org.dkpro.tc.core.task.deep.anno.IdentificationCollector
 
PARAM_TARGET_DIRECTORY - Static variable in class org.dkpro.tc.core.task.deep.anno.MappingAnnotator
 
PARAM_TARGET_DIRECTORY - Static variable in class org.dkpro.tc.core.task.deep.anno.MaxLenDoc2Label
 
PARAM_TARGET_DIRECTORY - Static variable in class org.dkpro.tc.core.task.deep.anno.MaxLenSeq2Label
 
PARAM_TARGET_DIRECTORY - Static variable in class org.dkpro.tc.core.task.deep.anno.MetaDataCollectionAnnotator
 
PARAM_TARGET_DIRECTORY - Static variable in class org.dkpro.tc.core.task.deep.anno.res.LookupResourceAnnotator
 
PARAM_TARGET_DIRECTORY - Static variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2Regression
 
PARAM_TARGET_DIRECTORY - Static variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2SingleLabel
 
PARAM_TARGET_DIRECTORY - Static variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDocDoc2MultiLabel
 
PARAM_TARGET_DIRECTORY - Static variable in class org.dkpro.tc.core.task.deep.anno.VectorizationSeq2SeqOfLabel
 
PARAM_TARGET_DIRECTORY - Static variable in class org.dkpro.tc.core.task.deep.anno.VocabularyOutcomeCollector
 
PARAM_TARGET_FOLDER - Static variable in class org.dkpro.tc.core.task.uima.OutcomeCollector
 
PARAM_TO_INTEGER - Static variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2Regression
 
PARAM_TO_INTEGER - Static variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2SingleLabel
 
PARAM_TO_INTEGER - Static variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDocDoc2MultiLabel
 
PARAM_TO_INTEGER - Static variable in class org.dkpro.tc.core.task.deep.anno.VectorizationSeq2SeqOfLabel
 
PARAM_USE_SPARSE_FEATURES - Static variable in interface org.dkpro.tc.core.task.uima.ConnectorConstants
If a sparse feature representation shall be used
PARAM_USER_SET_MAXIMUM_LENGTH - Static variable in class org.dkpro.tc.core.task.deep.anno.IdentificationCollector
 
PART_ONE - Static variable in interface org.dkpro.tc.core.Constants
Name of the first view in a pair classification setup
PART_TWO - Static variable in interface org.dkpro.tc.core.Constants
Name of the second view in a pair classification setup
PR_CURVE_KEY - Static variable in interface org.dkpro.tc.core.Constants
Name of the file that holds the precision-recall graph
PREDICTION_CLASS_LABEL_NAME - Static variable in interface org.dkpro.tc.core.Constants
Name of the attribute/label which stores the prediction values
PREDICTION_OUT - Static variable in interface org.dkpro.tc.core.PythonConstants
 
prefixKeys(Map<String, String>, String) - Static method in class org.dkpro.tc.core.util.ReportUtils
 
PREPARATION_FOLDER - Static variable in interface org.dkpro.tc.core.ml.TcDeepLearningAdapter
 
preparationFolder - Variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2Regression
 
preparationFolder - Variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2SingleLabel
 
preparationFolder - Variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDocDoc2MultiLabel
 
preparationFolder - Variable in class org.dkpro.tc.core.task.deep.anno.VectorizationSeq2SeqOfLabel
 
PreparationTask - Class in org.dkpro.tc.core.task.deep
Collects information about the entire document
PreparationTask() - Constructor for class org.dkpro.tc.core.task.deep.PreparationTask
 
PreprocessConnector - Class in org.dkpro.tc.core.task.uima
 
PreprocessConnector() - Constructor for class org.dkpro.tc.core.task.uima.PreprocessConnector
 
process(JCas) - Method in class org.dkpro.tc.core.feature.SequenceContextMetaCollector
 
process(JCas) - Method in class org.dkpro.tc.core.feature.UnitContextMetaCollector
 
process(JCas) - Method in class org.dkpro.tc.core.initializer.SequenceOutcomeAnnotator_ImplBase
 
process(JCas) - Method in class org.dkpro.tc.core.initializer.SingleLabelOutcomeAnnotator_ImplBase
 
process(JCas) - Method in class org.dkpro.tc.core.task.deep.anno.FilterVocabularyByEmbeddingAnnotator
 
process(JCas) - Method in class org.dkpro.tc.core.task.deep.anno.IdentificationCollector
 
process(JCas) - Method in class org.dkpro.tc.core.task.deep.anno.MappingAnnotator
 
process(JCas) - Method in class org.dkpro.tc.core.task.deep.anno.MaxLenDoc2Label
 
process(JCas) - Method in class org.dkpro.tc.core.task.deep.anno.MaxLenSeq2Label
 
process(JCas) - Method in class org.dkpro.tc.core.task.deep.anno.MetaDataCollectionAnnotator
 
process(JCas) - Method in class org.dkpro.tc.core.task.deep.anno.res.DictionaryMappingAnnotator
 
process(JCas) - Method in class org.dkpro.tc.core.task.deep.anno.res.ListMappingAnnotator
 
process(JCas) - Method in class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2Regression
 
process(JCas) - Method in class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2SingleLabel
 
process(JCas) - Method in class org.dkpro.tc.core.task.deep.anno.VectorizationDocDoc2MultiLabel
 
process(JCas) - Method in class org.dkpro.tc.core.task.deep.anno.VectorizationSeq2SeqOfLabel
 
process(JCas) - Method in class org.dkpro.tc.core.task.deep.anno.VocabularyOutcomeCollector
 
process(JCas) - Method in class org.dkpro.tc.core.task.uima.AssignIdConnector
 
process(JCas) - Method in class org.dkpro.tc.core.task.uima.DocumentModeAnnotator
 
process(JCas) - Method in class org.dkpro.tc.core.task.uima.ExtractFeaturesConnector
 
process(JCas) - Method in class org.dkpro.tc.core.task.uima.MetaCollectionLogger
 
process(JCas) - Method in class org.dkpro.tc.core.task.uima.OutcomeCollector
 
process(JCas) - Method in class org.dkpro.tc.core.task.uima.PreprocessConnector
 
process(JCas) - Method in class org.dkpro.tc.core.task.uima.ValidityCheckConnector
 
process(JCas) - Method in class org.dkpro.tc.core.task.uima.ValidityCheckConnectorPost
 
PythonConstants - Interface in org.dkpro.tc.core
Parameter used that are expected by the DeepLearning Python code to be handled

R

randomVector(int, long) - Static method in class org.dkpro.tc.core.task.deep.EmbeddingTask
 
randomVector(int) - Static method in class org.dkpro.tc.core.task.deep.EmbeddingTask
 
readerTest - Variable in class org.dkpro.tc.core.task.deep.InitTaskDeep
 
readerTest - Variable in class org.dkpro.tc.core.task.InitTask
 
readerTest - Variable in class org.dkpro.tc.core.task.OutcomeCollectionTask
 
readerTrain - Variable in class org.dkpro.tc.core.task.deep.InitTaskDeep
 
readerTrain - Variable in class org.dkpro.tc.core.task.InitTask
 
removeKeyRedundancy(Map<String, String>) - Static method in class org.dkpro.tc.core.util.ReportUtils
Iterates all entries in a map and cuts off the key value before a pipe (|) symbol, i.e.
replaceKeyWithConstant(Map<String, String>, String, String) - Static method in class org.dkpro.tc.core.util.ReportUtils
 
ReportUtils - Class in org.dkpro.tc.core.util
Utility methods needed in reports
ReportUtils() - Constructor for class org.dkpro.tc.core.util.ReportUtils
 
retrieve(JCas) - Static method in class org.dkpro.tc.core.feature.InstanceIdFeature
 
retrieve(JCas, TextClassificationTarget) - Static method in class org.dkpro.tc.core.feature.InstanceIdFeature
 
retrieve(JCas, TextClassificationTarget, Integer) - Static method in class org.dkpro.tc.core.feature.InstanceIdFeature
 
rewind() - Method in class org.dkpro.tc.core.task.DynamicDiscriminableFunctionDimension
 
RIGHT_CONTEXT_SEPARATOR - Static variable in class org.dkpro.tc.core.feature.ContextMetaCollectorUtil
 
run() - Method in interface org.dkpro.tc.core.GroovyExperiment
Start the Groovy experiment.

S

SEED - Static variable in interface org.dkpro.tc.core.PythonConstants
 
SequenceContextMetaCollector - Class in org.dkpro.tc.core.feature
 
SequenceContextMetaCollector() - Constructor for class org.dkpro.tc.core.feature.SequenceContextMetaCollector
 
SequenceOutcomeAnnotator - Interface in org.dkpro.tc.core.initializer
 
SequenceOutcomeAnnotator_ImplBase - Class in org.dkpro.tc.core.initializer
 
SequenceOutcomeAnnotator_ImplBase() - Constructor for class org.dkpro.tc.core.initializer.SequenceOutcomeAnnotator_ImplBase
 
sequenceSpanTypeName - Variable in class org.dkpro.tc.core.task.deep.anno.IdentificationCollector
 
sequenceSpanTypeName - Variable in class org.dkpro.tc.core.task.deep.anno.MaxLenSeq2Label
 
sequenceSpanTypeName - Variable in class org.dkpro.tc.core.task.deep.anno.VectorizationSeq2SeqOfLabel
 
setConfiguration(Map<String, Object>) - Method in class org.dkpro.tc.core.task.DynamicDiscriminableFunctionDimension
 
setFeatureNames(TreeSet<String>) - Method in class org.dkpro.tc.core.task.uima.FeatureMetaData
 
setName(String) - Method in class org.dkpro.tc.core.util.ExperimentUtil.NamedArrayList
 
setOperativeViews(List<String>) - Method in class org.dkpro.tc.core.task.deep.InitTaskDeep
 
setOperativeViews(List<String>) - Method in class org.dkpro.tc.core.task.InitTask
 
setOperativeViews(List<String>) - Method in class org.dkpro.tc.core.task.MetaInfoTask
 
setOutputFolder(File) - Method in class org.dkpro.tc.core.task.ModelSerializationTask
 
setPreprocessing(AnalysisEngineDescription) - Method in class org.dkpro.tc.core.task.deep.InitTaskDeep
 
setPreprocessing(AnalysisEngineDescription) - Method in class org.dkpro.tc.core.task.InitTask
 
setTesting(boolean) - Method in class org.dkpro.tc.core.task.deep.InitTaskDeep
 
setTesting(boolean) - Method in class org.dkpro.tc.core.task.deep.VectorizationTask
 
setTesting(boolean) - Method in class org.dkpro.tc.core.task.ExtractFeaturesTask
 
setTesting(boolean) - Method in class org.dkpro.tc.core.task.InitTask
 
shortenValuesTo(Map<String, String>, int) - Static method in class org.dkpro.tc.core.util.ReportUtils
 
SingleLabelOutcomeAnnotator - Interface in org.dkpro.tc.core.initializer
 
SingleLabelOutcomeAnnotator_ImplBase - Class in org.dkpro.tc.core.initializer
 
SingleLabelOutcomeAnnotator_ImplBase() - Constructor for class org.dkpro.tc.core.initializer.SingleLabelOutcomeAnnotator_ImplBase
 
skipSanityChecks - Variable in class org.dkpro.tc.core.task.InitTask
 
start(String) - Static method in class org.dkpro.tc.core.ExperimentStarter
Method which executes Groovy script provided in the pathToScript.
startIndexInstances - Variable in class org.dkpro.tc.core.task.deep.anno.MappingAnnotator
 
startIndexOutcomes - Variable in class org.dkpro.tc.core.task.deep.anno.MappingAnnotator
 
STATISTICS_REPORT_FILENAME - Static variable in interface org.dkpro.tc.core.Constants
Name of the file that holds information for the R connect report on cv level
STATISTICS_REPORT_TEST_TASK_FILENAME - Static variable in interface org.dkpro.tc.core.Constants
Name of the file that holds information for the R connect report on test task level
SUFFIX_LATEX - Static variable in interface org.dkpro.tc.core.Constants
File suffix for LaTeX files

T

TARGET_ID_MAPPING_TEST - Static variable in interface org.dkpro.tc.core.ml.TcDeepLearningAdapter
 
TARGET_ID_MAPPING_TRAIN - Static variable in interface org.dkpro.tc.core.ml.TcDeepLearningAdapter
 
targetFolder - Variable in class org.dkpro.tc.core.task.deep.anno.IdentificationCollector
 
targetFolder - Variable in class org.dkpro.tc.core.task.deep.anno.MappingAnnotator
 
targetFolder - Variable in class org.dkpro.tc.core.task.deep.anno.MaxLenDoc2Label
 
targetFolder - Variable in class org.dkpro.tc.core.task.deep.anno.MaxLenSeq2Label
 
targetFolder - Variable in class org.dkpro.tc.core.task.deep.anno.MetaDataCollectionAnnotator
 
targetFolder - Variable in class org.dkpro.tc.core.task.deep.anno.res.LookupResourceAnnotator
 
targetFolder - Variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2Regression
 
targetFolder - Variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2SingleLabel
 
targetFolder - Variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDocDoc2MultiLabel
 
targetFolder - Variable in class org.dkpro.tc.core.task.deep.anno.VectorizationSeq2SeqOfLabel
 
targetFolder - Variable in class org.dkpro.tc.core.task.deep.anno.VocabularyOutcomeCollector
 
TaskUtils - Class in org.dkpro.tc.core.util
Utility methods needed in classification tasks (loading instances, serialization of classifiers etc).
TaskUtils() - Constructor for class org.dkpro.tc.core.util.TaskUtils
 
TC_OUTCOME_DUMMY_VALUE - Static variable in interface org.dkpro.tc.core.Constants
Dummy value for text classification outcomes as placeholder for the real outcome
TC_TASK_TYPE - Static variable in interface org.dkpro.tc.core.Constants
 
TcDeepLearningAdapter - Interface in org.dkpro.tc.core.ml
Interface for machine learning frameworks in TC
TcShallowLearningAdapter - Interface in org.dkpro.tc.core.ml
Interface for machine learning frameworks in TC
TcTaskType - Enum in org.dkpro.tc.core.task
 
TcTaskTypeUtil - Class in org.dkpro.tc.core.task
 
TcTaskTypeUtil() - Constructor for class org.dkpro.tc.core.task.TcTaskTypeUtil
 
TCVERSION - Static variable in interface org.dkpro.tc.core.ml.ModelVersionIO
 
TEST_DATA - Static variable in interface org.dkpro.tc.core.PythonConstants
 
TEST_OUTCOME - Static variable in interface org.dkpro.tc.core.PythonConstants
 
TEST_TASK_INPUT_KEY_TEST_DATA - Static variable in interface org.dkpro.tc.core.Constants
Name of the test data input key in the TestTask
TEST_TASK_INPUT_KEY_TRAINING_DATA - Static variable in interface org.dkpro.tc.core.Constants
Name of the training data input key in the TestTask
TEST_TASK_OUTPUT_KEY - Static variable in interface org.dkpro.tc.core.Constants
Name of the output input key in the TestTask
threshold - Variable in class org.dkpro.tc.core.task.InitTask
 
threshold - Variable in class org.dkpro.tc.core.task.ModelSerializationTask
 
toInteger - Variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2Regression
 
toInteger - Variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2SingleLabel
 
toInteger - Variable in class org.dkpro.tc.core.task.deep.anno.VectorizationDocDoc2MultiLabel
 
toInteger - Variable in class org.dkpro.tc.core.task.deep.anno.VectorizationSeq2SeqOfLabel
 
toString() - Method in class org.dkpro.tc.core.task.DynamicDiscriminableFunctionDimension
 
TRAIN_DATA - Static variable in interface org.dkpro.tc.core.PythonConstants
 
TRAIN_OUTCOME - Static variable in interface org.dkpro.tc.core.PythonConstants
 
TRAIN_OUTPUT - Static variable in interface org.dkpro.tc.core.Constants
Alias for the training folder output location used during wiring of experiments to inform the extraction test-task about the output location of the extraction train-task
transformFromGeneric() - Method in interface org.dkpro.tc.core.io.DataWriter
If the generic data format is/must be used - this method will read the generic file and create the classifier-fitted output format
transformFromGeneric() - Method in class org.dkpro.tc.core.io.JsonDataWriter
 

U

UnitContextMetaCollector - Class in org.dkpro.tc.core.feature
A dummy meta-collector which merely sets up the correct file path for the context file.
UnitContextMetaCollector() - Constructor for class org.dkpro.tc.core.feature.UnitContextMetaCollector
 
UNKNOWN_OUTCOME - Static variable in interface org.dkpro.tc.core.Constants
Name of the outcome value for instances in prediction mode
useSparseFeatures() - Method in interface org.dkpro.tc.core.ml.TcShallowLearningAdapter
 

V

ValidityCheckConnector - Class in org.dkpro.tc.core.task.uima
UIMA analysis engine that is used in the InitTask to test error conditions on the CAS.
ValidityCheckConnector() - Constructor for class org.dkpro.tc.core.task.uima.ValidityCheckConnector
 
ValidityCheckConnectorPost - Class in org.dkpro.tc.core.task.uima
UIMA analysis engine that is used in the InitTask to test error conditions on the CAS.
ValidityCheckConnectorPost() - Constructor for class org.dkpro.tc.core.task.uima.ValidityCheckConnectorPost
 
ValidityCheckUtils - Class in org.dkpro.tc.core.util
 
ValidityCheckUtils() - Constructor for class org.dkpro.tc.core.util.ValidityCheckUtils
 
valueOf(String) - Static method in enum org.dkpro.tc.core.task.TcTaskType
Returns the enum constant of this type with the specified name.
values() - Static method in enum org.dkpro.tc.core.task.TcTaskType
Returns an array containing the constants of this enum type, in the order they are declared.
VectorizationDoc2Regression - Class in org.dkpro.tc.core.task.deep.anno
 
VectorizationDoc2Regression() - Constructor for class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2Regression
 
VectorizationDoc2SingleLabel - Class in org.dkpro.tc.core.task.deep.anno
 
VectorizationDoc2SingleLabel() - Constructor for class org.dkpro.tc.core.task.deep.anno.VectorizationDoc2SingleLabel
 
VectorizationDocDoc2MultiLabel - Class in org.dkpro.tc.core.task.deep.anno
 
VectorizationDocDoc2MultiLabel() - Constructor for class org.dkpro.tc.core.task.deep.anno.VectorizationDocDoc2MultiLabel
 
VectorizationSeq2SeqOfLabel - Class in org.dkpro.tc.core.task.deep.anno
 
VectorizationSeq2SeqOfLabel() - Constructor for class org.dkpro.tc.core.task.deep.anno.VectorizationSeq2SeqOfLabel
 
VectorizationTask - Class in org.dkpro.tc.core.task.deep
 
VectorizationTask() - Constructor for class org.dkpro.tc.core.task.deep.VectorizationTask
 
VECTORIZIATION_TEST_OUTPUT - Static variable in interface org.dkpro.tc.core.ml.TcDeepLearningAdapter
 
VECTORIZIATION_TRAIN_OUTPUT - Static variable in interface org.dkpro.tc.core.ml.TcDeepLearningAdapter
 
verifyTcVersion(File, Class<? extends ModelSerialization_ImplBase>) - Method in class org.dkpro.tc.core.ml.ModelSerialization_ImplBase
 
VocabularyOutcomeCollector - Class in org.dkpro.tc.core.task.deep.anno
 
VocabularyOutcomeCollector() - Constructor for class org.dkpro.tc.core.task.deep.anno.VocabularyOutcomeCollector
 

W

writeAdapter() - Method in class org.dkpro.tc.core.task.ModelSerializationTask
 
writeClassifierFormat(List<Instance>) - Method in interface org.dkpro.tc.core.io.DataWriter
 
writeClassifierFormat(List<Instance>) - Method in class org.dkpro.tc.core.io.JsonDataWriter
 
writeCurrentVersionOfDKProTC(File) - Method in interface org.dkpro.tc.core.ml.ModelVersionIO
 
writeFeatureMode(File, String) - Method in interface org.dkpro.tc.core.ml.ModelVersionIO
 
writeGenericFormat(List<Instance>) - Method in interface org.dkpro.tc.core.io.DataWriter
 
writeGenericFormat(List<Instance>) - Method in class org.dkpro.tc.core.io.JsonDataWriter
 
writeLearningMode(File, String) - Method in interface org.dkpro.tc.core.ml.ModelVersionIO
 
writeMeta(JCas) - Method in class org.dkpro.tc.core.task.uima.DocumentMetaLogger
Writes the DocumentMetaData of a JCas to a file.
writeMetaData(File) - Method in class org.dkpro.tc.core.task.uima.FeatureMetaData
 
writeModelAdapterInformation(File, String) - Method in class org.dkpro.tc.core.task.ModelSerializationTask
 
writeModelConfiguration(TaskContext) - Method in class org.dkpro.tc.core.task.ModelSerializationTask
 
writeModelParameter(File, Properties, String) - Method in interface org.dkpro.tc.core.ml.ModelVersionIO
 
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