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01_​Initial_​Model_​Training

Emil the TeacherBot - Initial Training - Train Document Vector and Random Forest ModelThis workflow is part of a number of other workflows that address a data mining scenario at the intersection of active learning, text mining, stream mining andservice-oriented knowledge discovery architectures.In particular, this workflow trains two models. A Document Vector Model depending on the keywords extracted from the training set during the pre-processing stepand a Random Forest model that makes the predictions of the document_class. The models created at this stage can be used later on in the active learning cycle(Re-label_Uncertain_Classes workflow). Preprocessing Model Training Read and PartitionTraining Dataset Join back classWrite RandomForest modelWrite document vector modelJoin back classTraining Dataset Document Vector Joiner Model Writer Scorer DocumentVector Applier Model Writer Joiner Keyword extraction Keyword extraction Read and Partition Random ForestLearner Random ForestPredictor Emil the TeacherBot - Initial Training - Train Document Vector and Random Forest ModelThis workflow is part of a number of other workflows that address a data mining scenario at the intersection of active learning, text mining, stream mining andservice-oriented knowledge discovery architectures.In particular, this workflow trains two models. A Document Vector Model depending on the keywords extracted from the training set during the pre-processing stepand a Random Forest model that makes the predictions of the document_class. The models created at this stage can be used later on in the active learning cycle(Re-label_Uncertain_Classes workflow). Preprocessing Model Training Read and PartitionTraining Dataset Join back classWrite RandomForest modelWrite document vector modelJoin back classTraining Dataset Document Vector Joiner Model Writer Scorer DocumentVector Applier Model Writer Joiner Keyword extraction Keyword extraction Read and Partition Random ForestLearner Random ForestPredictor

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