This loop closes a parameter optimization loop. It collects the objective function value from a flow variable and transfer the in…

This loop starts a parameter optimization loop. In the dialog you can enter several parameters with an interval and a step size. …

This loop starts a parameter optimization loop. It takes a table as input. In the dialog you can map the parameters of the table …

This node applies the Apache Spark Logistic Regression algorithm. It outputs the the learned model for later application. Please …

This node takes two input tables: the first table contains all objects/rows from which subsets are selected. The second input tab…

This node finds (near)optimal fixed-sized subsets of rows based one one or more criteria. It uses the NSGA-II algorithm to find a…

This node uses the Score Erosion algorithm in order to select subsets of items/rows that have a high overall score, and are as di…

This node trains a support vector machine on the input data. It supports a number of different kernels (HyperTangent, Polynomial …

The rows from the input table are filtered according to one selected solution (which is a set of row keys) from a previous optimi…

This node uses the spark.ml linear regression implementation to train a linear regression model in Spark, supporting different re…

Performs a multinomial logistic regression. Select in the dialog a target column (combo box on top), i.e. the response. The solve…

This node is the start of the feature selection loop. The feature selection loop allows you to select, from all the features in t…

This node uses the spark.ml logistic regression implementation to train a logistic regression model in Spark, supporting differen…

This node is the start of the feature selection loop. The feature selection loop allows you to select, from all the features in t…

The node provides different algorithms to searches for frequent items in a list of item sets. The integrated algorithms are: Apri…

This rule learner* uses the Apriori (Agrawal et al. 1993) algorithm implemented by Christian Borgelt. The following description h…

LIBSVM v2.89 is an integrated software for support vector classification. For a more detailed description - especially of the par…

Performs a multinomial logistic regression. Select in the dialog a target column (combo box on top), i.e. the response. The two l…

Performs a multinomial logistic regression. Select in the dialog a target column (combo box on top), i.e. the response. The two l…

Performs a multinomial logistic regression. Select in the dialog a target column (combo box on top), i.e. the response. The two l…