- 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
-
- 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
-
- 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.
- 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
-
- 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