**33**
results

**33**
results

Apache Spark

Mining

Tools & Services
Prediction
Dimensionality Reduction
Item Sets / Association Rules
PMML
+2

- Go to itemThis node applies association rules created by a Spark rule learner*. The rules are applied to a given column with item sets (tra…0
- Go to itemThis rule learner* uses Spark MLlib to compute frequent item sets and then extract association rules from the given input data. A…0
- Go to itemThis node assigns new data to an existing set of prototypes, which are obtained e.g. by a k-means clustering. Each data point is …0
- Go to itemThis node utilizes the Apache Spark collaborative filtering implementation. Notice: The matrix factorization model contains refer…0
- Go to itemThis node runs the Java code generated by the PMML Compiler on Apache Spark.0
- Go to itemThis node uses the spark.ml Decision Tree implementation to train a Decision Tree classification model in Spark. The underlying a…0
- Go to itemThis node applies the Apache Spark Decision / Regression Tree algorithm. Please note that all data must be numeric, including the…0
- Go to itemThis node uses the spark.ml implementation to train a regression model in Spark. The underlying algorithm performs a recursive bi…0
- Go to itemScorer for clustering results given a reference clustering. Connect the Spark DataFrame/RDD containing a column with the referenc…0
- Go to itemThis node uses Spark MLlib to compute frequent item sets. See the Spark Association Rule Learner node to generate frequent item s…0
- Go to itemGradient Boosted Trees are ensembles of Decision Trees. Learning a Gradient Boosted Trees model means training a sequence of Deci…0
- Go to itemNode / Learner
###### Spark Gradient Boosted Trees Learner (Regression)

Gradient Boosted Trees are ensembles of Decision Trees. They iteratively train Decision Trees in order to minimize a loss functio…0 - Go to itemThis node applies the Apache Spark Gradient-Boosted Trees (GBTs) algorithm. Note: GBTs do not yet support multiclass classificati…0
- Go to itemThis node uses the spark.ml linear regression implementation to train a linear regression model in Spark, supporting different re…0
- Go to itemThis node applies the Apache Spark Linear Regression algorithm. It outputs the learned model for later application. Please note t…0
- Go to itemThis node applies the Apache Spark Linear SVM algorithm. It outputs the the learned model for later application. Please note that…0
- Go to itemThis node uses the spark.ml logistic regression implementation to train a logistic regression model in Spark, supporting differen…0
- Go to itemThis node applies the Apache Spark Logistic Regression algorithm. It outputs the the learned model for later application. Please …0
- Go to itemConverts supported Spark MLlib models to PMML model.0
- Go to itemThis node applies the Apache Spark Naive Bayes algorithm. It outputs the original data and the Naive Bayes predictions for the re…0

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