enabled=true configuration property to the -conf option. Note that to enable eager execution in sparkR shell, add. Running SQL Queries from SparkRĪ SparkDataFrame can also be registered as a temporary view in Spark SQL and that allows you to run SQL queries over its data. SparkR supports the following machine learning algorithms currently: Classification # Load a JSON file people = 13 AND age <= 19" ) head ( teenagers ) # name #1 Justin Machine Learning Algorithms The sql function enables applications to run SQL queries programmatically and returns the result as a SparkDataFrame. spark.svmLinear: Linear Support Vector Machine.spark.fmClassifier: Factorization Machines classifier.spark.survreg: Accelerated Failure Time (AFT) Survival Model.spark.glm or glm: Generalized Linear Model (GLM).spark.fmRegressor: Factorization Machines regressor.cisionTree: Decision Tree for Regression and Classification.spark.gbt: Gradient Boosted Trees for Regression and Classification.spark.randomForest: Random Forest for Regression and Classification.spark.bisectingKmeans: Bisecting k-means.spark.gaussianMixture: Gaussian Mixture Model (GMM). spark.lda: Latent Dirichlet Allocation (LDA).spark.powerIterationClustering (PIC): Power Iteration Clustering (PIC).spark.als: Alternating Least Squares (ALS).Under the hood, SparkR uses MLlib to train the model.
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