Uses of Class
de.uni_mannheim.informatik.dws.melt.matching_ml.python.PythonServerException
Package
Description
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Uses of PythonServerException in de.uni_mannheim.informatik.dws.melt.matching_ml.python
Modifier and TypeMethodDescriptionprivate String
PythonServer.runRequest
(org.apache.http.client.methods.HttpUriRequest request) float
PythonServer.sentenceTransformersFineTuning
(SentenceTransformersFineTuner fineTuner, File trainingFile, File validationFile) Run fine tuning for sentence transformers.PythonServer.sentenceTransformersPrediction
(SentenceTransformersMatcher matcher, File corpusFile, File queriesFile) Run sentence transformers prediction.PythonServer.textGenerationPrediction
(LLMBase filter, File predictionFilePath, List<Set<String>> wordsToDetect) Run text generation model (like a large language model llm) given a file with left and right value which are replaced .void
PythonServer.transformersFineTuning
(TransformersFineTuner fineTuner, File trainingFile) Finetune a transformers model with the given parameters and write this model to a given folder.void
PythonServer.transformersFineTuningHpSearch
(TransformersFineTunerHpSearch hpsearch, File trainingFile) Run a hyperparameter fine tuning.PythonServer.transformersMultiClassPrediction
(TransformersFilter filter, File predictionFilePath) Run a transformers model on a CSV file with two columns (text left and text right) for multi class prediction.PythonServer.transformersPrediction
(TransformersFilter filter, File predictionFilePath) Run a transformers model on a CSV file with two columns (text left and text right) to predict if they describe the same concept. -
Uses of PythonServerException in de.uni_mannheim.informatik.dws.melt.matching_ml.python.nlptransformers
Modifier and TypeMethodDescriptionSentenceTransformersFineTuner.finetuneModel
(File trainingFile) float
SentenceTransformersFineTuner.finetuneModel
(File trainingFile, File validationFile) Run the training on the training file, but evaluate the best model on the validationFile.