This category contains 5320 nodes.
Compares two columns by their attribute value pairs.
Similarity/Distance search in two data sets.
Learns a simple linear regression model.
Classifier for building linear logistic regression models.
Allows selecting single value from a list of String which is returned as a String flow variable.
Assigns sizes corresponding to the values of one numeric column.
Retrieves a SMARTSViewer visualisation of a columns of SMARTS strings using the service at www.smartsviewer.de
a sequential minimal optimization algorithm for training a SVM.
A.Smola and B.Scholkopf's sequential minimal optimization algorithm for training a support vector regression model.
This node is obsolete! Please use the new SOTA Learner node located in the Mining -> Clustering category.
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