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Matthias Schildwächter edited this page Sep 7, 2017 · 5 revisions

The Api path to access the functionalities of the machine learning module.

Method Path Result Comment
GET /ml/get/evaluation/data/ evaluation data (F_1, Precision, Recall)
GET /ml/get/training/data/ training data (as String) In format of GermaNER
GET /ml/retrain/ true if retraining was successful starts the retraining process of GermaNER with the saved training data
GET /ml/retrain/status the time the training started (as String)
POST /ml/annotate/{id} a list of Anonymization objects expected parameter is id of the actual document
POST /ml/update/training/data/{id} true if the appending of training data was succesful expected parameter is id of the reviewed and saved document
POST /ml/calculate/f/one/{id} true if calculation worked expected parameter is id of the reviewed and saved document and a list of correct Anonymization objects
POST /ml/post/training/data/{resetOld}/ true if the send training data was appended expected parameter is a string with training data in format of GermaNER training data and a boolean if the data should overwrite
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