This view takes a hierarchical cluster tree and the same input table, that has been used for the creating the clustering and visu…

Compares two columns by their attribute value pairs and shows the confusion matrix, i.e. how many rows of which attribute and the…

This node applies the Apache Spark Gradient-Boosted Trees (GBTs) algorithm. Note: GBTs do not yet support multiclass classificati…

Gradient Boosted Trees are ensembles of Decision Trees. They iteratively train Decision Trees in order to minimize a loss functio…

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

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

This node applies the Apache Spark Linear SVM algorithm. It outputs the the learned model for later application. Please note that…

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

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

This node applies the Apache Spark Naive Bayes algorithm. It outputs the original data and the Naive Bayes predictions for the re…

This node classifies/labels input data using a previously learned Spark ML classification model. Please note that all feature col…

This node applies association rules created by a Spark rule learner*. The rules are applied to a given column with item sets (tra…

This rule learner* uses Spark MLlib to compute frequent item sets and then extract association rules from the given input data. A…

This node uses Spark MLlib to compute frequent item sets. See the Spark Association Rule Learner node to generate frequent item s…

This node runs the Java code generated by the PMML Compiler on Apache Spark.

Converts supported Spark MLlib models to PMML model.

This node compiles the given PMML model into bytecode and runs it on the input data on Apache Spark.

This node uses the spark.ml Decision Tree implementation to train a Decision Tree classification model in Spark. The underlying a…

This node applies the Apache Spark Decision / Regression Tree algorithm. Please note that all data must be numeric, including the…