public interface Constants
Modifier and Type | Field and Description |
---|---|
static String |
BASELINE_MAJORITIY_ID_OUTCOME_KEY
Name of the file which assigns the majority class as prediction or the mean floating point
value in case of regression, as baseline
|
static String |
BASELINE_RANDOM_ID_OUTCOME_KEY
Name of the file which assigns for each instance a randomly predicted class or value, as
baseline
|
static String |
CLASS_ATTRIBUTE_NAME
The name of the attribute that encodes the known classification outcome
|
static String |
CLASS_ATTRIBUTE_PREFIX
This prefix is used to make sure that class label names do not match names of features
|
static String |
CM_ACTUAL
Name of the confusion matrix dimension showing the actual values
|
static String |
CM_PREDICTED
Name of the confusion matrix dimension showing the predicted values
|
static String |
CONFIGURATION_DKPRO_LAB |
static String |
CONFUSIONMATRIX_KEY
Name of the file that holds the confusion matrix
|
static String |
DIM_APPLY_FEATURE_SELECTION
Name of the discriminator that stores whether the feature selection should be applied to
learning task or not
|
static String |
DIM_APPLY_INSTANCE_WEIGHTING
Name of the discriminator that stores whether the instance weighting should be applied to
learning task or not
|
static String |
DIM_ATTRIBUTE_EVALUATOR_ARGS
Name of the discriminator that stores the feature selection class and a list of arguments to
parametrize it
|
static String |
DIM_BIPARTITION_THRESHOLD
Name of the discriminator that stores the bipartition threshold used in multi-label
classification
|
static String |
DIM_CLASSIFICATION_ARGS
Name of the discriminator that stores the additional argument passed to the classification
algorithms
|
static String |
DIM_CROSS_VALIDATION_MANUAL_FOLDS
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
|
static String |
DIM_DATA_WRITER
Name of the class that implements the data writer for a machine learning adapter
|
static String |
DIM_DEVELOPER_MODE
Developer mode enables it to use unit feature extractors in documents
|
static String |
DIM_ENFORCE_MATCHING_FEATURES_DURING_TESTING
Enforces that during writing of the test feature file only features are written that did
occur during training.
|
static String |
DIM_FEATURE_FILTERS
Name of the discriminator that stores the feature filters that are applied on the feature
store
|
static String |
DIM_FEATURE_MODE
Name of the discriminator that stores the learning mode
|
static String |
DIM_FEATURE_SEARCHER_ARGS
Name of the discriminator that stores the feature selection search class and a list of
arguments to parametrize it (single-label learning)
|
static String |
DIM_FEATURE_SET
Name of the discriminator that stores the set of feature extractors
|
static String |
DIM_FEATURE_USE_SPARSE
Flag to use sparse features during feature extraction
|
static String |
DIM_FILES_ROOT |
static String |
DIM_FILES_TRAINING |
static String |
DIM_FILES_VALIDATION |
static String |
DIM_LABEL_TRANSFORMATION_METHOD
Name of the discriminator that stores a Mulan label transformation method (multi-label
learning)
|
static String |
DIM_LEARNING_MODE
Name of the discriminator that stores the learning mode
|
static String |
DIM_MLA_CONFIGURATIONS
Name of the discriminator that stores all machine learning adapter configurations that are being used in an experiment
|
static String |
DIM_NUM_LABELS_TO_KEEP
Name of the discriminator that stores the number of features to be selected (multi-label
learning)
|
static String |
DIM_NUM_TRAINING_FOLDS
This dimensions contains the training folds on which this classification run is based
|
static String |
DIM_READER_TEST
Name of the discriminator that stores the reader for test data
|
static String |
DIM_READER_TRAIN
Name of the discriminator that stores the reader for training data
|
static String |
DIM_READERS
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)
|
static String |
DIM_RECORD_CONTEXT
Records the context of a unit/sequence in either unit mode or sequence mode as debugging help
|
static String |
DIM_SKIP_SANITY_CHECKS
Allows to skip the sanity checks that ensures that each classification target corresponds to
an outcome.
|
static String |
EMPTY_PREDICTION
For empty predictions (no label value above the bipartition threshold)
|
static String |
EVAL_FILE_NAME
Name of the file that holds the evaluation results
|
static String |
EVAL_FILE_NAME_PER_FOLD
Name of the file that holds the evaluation results
|
static String |
FILE_COMBINED_BASELINE_MAJORITY_OUTCOME_KEY
Name of the global file which contains a prediction with the majority class for all test
instances.
|
static String |
FILE_COMBINED_BASELINE_RANDOM_OUTCOME_KEY
Name of the global file which contains a prediction with a random class for all test
instances.
|
static String |
FILE_COMBINED_ID_OUTCOME_KEY
Name of the global file which contains the classifier predictions and gold standard for all
test instances.
|
static String |
FILE_CONFIGURATION_MAPPING
Name of the file containing the mapping from the id number to the entire dimension set of an experiment.
|
static String |
FILE_CONFUSION_MATRIX |
static String |
FILE_SCORE_PER_CATEGORY |
static String |
FILENAME_DATA_IN_CLASSIFIER_FORMAT
File name for storing the training / testing data file
|
static String |
FILENAME_DOCUMENT_META_DATA_LOG |
static String |
FILENAME_FEATURES
Name of the file which holds the names of all used features
|
static String |
FILENAME_FEATURES_DESCRIPTION |
static String |
FILENAME_OUTCOMES |
static String |
FILENAME_PREDICTIONS
File name for storing the predictions in the classifier specific output data format
|
static String |
FM_DOCUMENT
Feature mode: document classification
|
static String |
FM_PAIR
Feature mode: unit classification
|
static String |
FM_SEQUENCE
Feature mode: sequence classification
|
static String |
FM_UNIT
Feature mode: unit classification
|
static String |
GENERIC_FEATURE_FILE |
static String |
ID_CONTEXT_KEY
Name of the meta task file which holds the tc unit text and context for all test instances.
|
static String |
ID_DETAILED_OUTCOME_KEY
Name of the results file which stores detailed outcome results with id and tc unit text
|
static String |
ID_FEATURE_NAME
Name of the instance ID feature
|
static String |
ID_OUTCOME_KEY
Name of the file which folds the classifier predictions and gold standard for all test
instances.
|
static String |
INITIAL_VIEW
Name of the initial view
|
static int |
LEAVE_ONE_OUT
Special value for the number of folds, that is used to indicate leave-one-out setups
|
static String |
LM_MULTI_LABEL
Learning mode: multi label
|
static String |
LM_REGRESSION
Learning mode: regression
|
static String |
LM_SINGLE_LABEL
Learning mode: single label
|
static String |
MACHINE_LEARNING_BACKEND_NAME |
static String |
META_COLLECTOR_OVERRIDE |
static String |
META_EXTRACTOR_OVERRIDE |
static String |
MODEL_BIPARTITION_THRESHOLD
Name of the file which holds the bipartition threshold
|
static String |
MODEL_CLASS_LABELS
Name of the file which holds the class labels
|
static String |
MODEL_CLASSIFIER
Name of the file which holds the classifier
|
static String |
MODEL_FEATURE_CLASS_FOLDER
Name of the file which holds the feature extractors
|
static String |
MODEL_FEATURE_EXTRACTOR_CONFIGURATION
Name of the file which holds the global UIMA parameters
|
static String |
MODEL_FEATURE_MODE
Name of the file which holds the feature mode
|
static String |
MODEL_FEATURE_NAMES
Name of the file which holds the feature names
|
static String |
MODEL_FEATURE_NAMES_SERIALIZED
Name of the file which holds the feature names (non-human-readable)
|
static String |
MODEL_LEARNING_MODE
Name of the file which holds the feature mode
|
static String |
MODEL_META
Name of the file which holds the model meta data
|
static String |
MODEL_TC_VERSION
Tc version under which this model has been trained
|
static String |
NGRAM_GLUE
This is the character for joining strings for pair ngrams.
|
static String |
OUTCOMES_INPUT_KEY |
static String |
PART_ONE
Name of the first view in a pair classification setup
|
static String |
PART_TWO
Name of the second view in a pair classification setup
|
static String |
PR_CURVE_KEY
Name of the file that holds the precision-recall graph
|
static String |
PREDICTION_CLASS_LABEL_NAME
Name of the attribute/label which stores the prediction values
|
static String |
STATISTICS_REPORT_FILENAME
Name of the file that holds information for the R connect report on cv level
|
static String |
STATISTICS_REPORT_TEST_TASK_FILENAME
Name of the file that holds information for the R connect report on test task level
|
static String |
SUFFIX_LATEX
File suffix for LaTeX files
|
static String |
TC_OUTCOME_DUMMY_VALUE
Dummy value for text classification outcomes as placeholder for the real outcome
|
static String |
TC_TASK_TYPE |
static String |
TEST_TASK_INPUT_KEY_TEST_DATA
Name of the test data input key in the TestTask
|
static String |
TEST_TASK_INPUT_KEY_TRAINING_DATA
Name of the training data input key in the TestTask
|
static String |
TEST_TASK_OUTPUT_KEY
Name of the output input key in the TestTask
|
static String |
TRAIN_OUTPUT
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
|
static String |
UNKNOWN_OUTCOME
Name of the outcome value for instances in prediction mode
|
static final String INITIAL_VIEW
static final String PART_ONE
static final String PART_TWO
static final String CLASS_ATTRIBUTE_PREFIX
static final String CLASS_ATTRIBUTE_NAME
static final int LEAVE_ONE_OUT
static final String UNKNOWN_OUTCOME
static final String DIM_READERS
static final String DIM_READER_TRAIN
static final String DIM_READER_TEST
static final String DIM_FEATURE_SET
static final String DIM_CLASSIFICATION_ARGS
static final String DIM_MLA_CONFIGURATIONS
static final String DIM_ATTRIBUTE_EVALUATOR_ARGS
static final String DIM_FEATURE_SEARCHER_ARGS
static final String DIM_LABEL_TRANSFORMATION_METHOD
static final String DIM_NUM_LABELS_TO_KEEP
static final String DIM_FEATURE_FILTERS
static final String DIM_APPLY_FEATURE_SELECTION
static final String DIM_BIPARTITION_THRESHOLD
static final String DIM_FEATURE_USE_SPARSE
static final String DIM_DATA_WRITER
static final String DIM_APPLY_INSTANCE_WEIGHTING
static final String DIM_DEVELOPER_MODE
static final String DIM_RECORD_CONTEXT
static final String GENERIC_FEATURE_FILE
static final String FILENAME_PREDICTIONS
static final String FILENAME_DATA_IN_CLASSIFIER_FORMAT
static final String DIM_FILES_ROOT
static final String DIM_FILES_TRAINING
static final String DIM_FILES_VALIDATION
static final String DIM_NUM_TRAINING_FOLDS
static final String DIM_ENFORCE_MATCHING_FEATURES_DURING_TESTING
static final String DIM_LEARNING_MODE
static final String LM_SINGLE_LABEL
static final String LM_MULTI_LABEL
static final String LM_REGRESSION
static final String DIM_FEATURE_MODE
static final String FM_DOCUMENT
static final String FM_UNIT
static final String FM_SEQUENCE
static final String FM_PAIR
static final String EVAL_FILE_NAME
static final String EVAL_FILE_NAME_PER_FOLD
static final String SUFFIX_LATEX
static final String CONFUSIONMATRIX_KEY
static final String PR_CURVE_KEY
static final String CM_ACTUAL
static final String CM_PREDICTED
static final String STATISTICS_REPORT_TEST_TASK_FILENAME
static final String STATISTICS_REPORT_FILENAME
static final String ID_OUTCOME_KEY
static final String BASELINE_MAJORITIY_ID_OUTCOME_KEY
static final String BASELINE_RANDOM_ID_OUTCOME_KEY
static final String ID_DETAILED_OUTCOME_KEY
static final String FILE_COMBINED_ID_OUTCOME_KEY
static final String FILE_COMBINED_BASELINE_MAJORITY_OUTCOME_KEY
static final String FILE_COMBINED_BASELINE_RANDOM_OUTCOME_KEY
static final String ID_CONTEXT_KEY
static final String FILE_CONFIGURATION_MAPPING
static final String NGRAM_GLUE
static final String FILENAME_FEATURES
static final String FILENAME_OUTCOMES
static final String PREDICTION_CLASS_LABEL_NAME
static final String TEST_TASK_INPUT_KEY_TRAINING_DATA
static final String TEST_TASK_INPUT_KEY_TEST_DATA
static final String TEST_TASK_OUTPUT_KEY
static final String ID_FEATURE_NAME
static final String EMPTY_PREDICTION
static final String TRAIN_OUTPUT
static final String OUTCOMES_INPUT_KEY
static final String FILENAME_FEATURES_DESCRIPTION
static final String FILENAME_DOCUMENT_META_DATA_LOG
static final String TC_TASK_TYPE
static final String TC_OUTCOME_DUMMY_VALUE
static final String MODEL_META
static final String META_COLLECTOR_OVERRIDE
static final String META_EXTRACTOR_OVERRIDE
static final String MODEL_TC_VERSION
static final String MODEL_FEATURE_NAMES
static final String MODEL_FEATURE_NAMES_SERIALIZED
static final String MODEL_CLASS_LABELS
static final String MODEL_FEATURE_CLASS_FOLDER
static final String MODEL_FEATURE_EXTRACTOR_CONFIGURATION
static final String MODEL_CLASSIFIER
static final String MODEL_FEATURE_MODE
static final String MODEL_LEARNING_MODE
static final String MODEL_BIPARTITION_THRESHOLD
static final String FILE_CONFUSION_MATRIX
static final String FILE_SCORE_PER_CATEGORY
static final String DIM_CROSS_VALIDATION_MANUAL_FOLDS
static final String DIM_SKIP_SANITY_CHECKS
static final String CONFIGURATION_DKPRO_LAB
static final String MACHINE_LEARNING_BACKEND_NAME
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