public class DetectionOnlyTrainingPipeline extends AbstractPipeline implements org.dkpro.tc.core.Constants
| Modifier and Type | Field and Description |
|---|---|
static File |
modelPath |
CLASS_ATTRIBUTE_NAME, CLASS_ATTRIBUTE_PREFIX, CM_ACTUAL, CM_PREDICTED, CONFUSIONMATRIX_KEY, DIM_APPLY_FEATURE_SELECTION, DIM_APPLY_INSTANCE_WEIGHTING, DIM_ATTRIBUTE_EVALUATOR_ARGS, DIM_BASELINE_CLASSIFICATION_ARGS, DIM_BASELINE_FEATURE_SET, DIM_BASELINE_PIPELINE_PARAMS, DIM_BIPARTITION_THRESHOLD, DIM_CLASSIFICATION_ARGS, DIM_CROSS_VALIDATION_MANUAL_FOLDS, DIM_DEVELOPER_MODE, DIM_FEATURE_FILTERS, DIM_FEATURE_MODE, DIM_FEATURE_SEARCHER_ARGS, DIM_FEATURE_SET, DIM_FEATURE_STORE, DIM_FILES_ROOT, DIM_FILES_TRAINING, DIM_FILES_VALIDATION, DIM_LABEL_TRANSFORMATION_METHOD, DIM_LEARNING_MODE, DIM_NUM_LABELS_TO_KEEP, DIM_READER_TEST, DIM_READER_TRAIN, DIM_RECORD_CONTEXT, DISCRIMINATORS_KEY_TEMP, EMPTY_PREDICTION, EVAL_FILE_NAME, FILENAME_FEATURES, FM_DOCUMENT, FM_PAIR, FM_SEQUENCE, FM_UNIT, HOMOGENIZING_MISSING_VALUE, ID_CONTEXT_KEY, ID_DETAILED_OUTCOME_KEY, ID_FEATURE_NAME, ID_HOMOGENIZED_OUTCOME_KEY, ID_OUTCOME_KEY, INITIAL_VIEW, LEAVE_ONE_OUT, LM_MULTI_LABEL, LM_REGRESSION, LM_SINGLE_LABEL, META_COLLECTOR_OVERRIDE, META_EXTRACTOR_OVERRIDE, MODEL_BIPARTITION_THRESHOLD, MODEL_CLASS_LABELS, MODEL_CLASSIFIER, MODEL_FEATURE_CLASS_FOLDER, MODEL_FEATURE_EXTRACTOR_CONFIGURATION, MODEL_FEATURE_MODE, MODEL_FEATURE_NAMES, MODEL_FEATURE_NAMES_SERIALIZED, MODEL_LEARNING_MODE, MODEL_META, MODEL_TC_VERSION, NGRAM_GLUE, PART_ONE, PART_TWO, PR_CURVE_KEY, PREDICTION_CLASS_LABEL_NAME, PREDICTION_MAP_FILE_NAME, SERIALIZED_ID_OUTCOME_KEY, STATISTICS_REPORT_FILENAME, STATISTICS_REPORT_TEST_TASK_FILENAME, SUFFIX_CSV, SUFFIX_EXCEL, SUFFIX_LATEX, TC_OUTCOME_DUMMY_VALUE, TEST_TASK_INPUT_KEY_TEST_DATA, TEST_TASK_INPUT_KEY_TRAINING_DATA, TEST_TASK_OUTPUT_KEY, UNKNOWN_OUTCOME| Constructor and Description |
|---|
DetectionOnlyTrainingPipeline() |
| Modifier and Type | Method and Description |
|---|---|
static org.dkpro.lab.task.ParameterSpace |
getParameterSpace()
Creates the the parameter space (
ParameterSpace) for the experiment. |
protected org.apache.uima.analysis_engine.AnalysisEngineDescription |
getPreprocessing() |
static void |
main(String[] args)
Starts the experiment.
|
protected void |
runTrainSaveModel(org.dkpro.lab.task.ParameterSpace pSpace) |
assertDkproHomeVariableIsSetpublic static final File modelPath
public static void main(String[] args) throws Exception
Exceptionpublic static org.dkpro.lab.task.ParameterSpace getParameterSpace()
throws org.apache.uima.resource.ResourceInitializationException
ParameterSpace) for the experiment. The parameter
space describes the experiment input(s), classifier(s), feature extractor(s), and feature selector(s).org.apache.uima.resource.ResourceInitializationExceptionprotected void runTrainSaveModel(org.dkpro.lab.task.ParameterSpace pSpace)
throws Exception
Exceptionprotected org.apache.uima.analysis_engine.AnalysisEngineDescription getPreprocessing()
throws org.apache.uima.resource.ResourceInitializationException
org.apache.uima.resource.ResourceInitializationExceptionCopyright © 2016–2018 OpenMinTeD. All rights reserved.