# # Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # To run this example use # ./bin/spark-submit examples/src/main/r/ml/survreg.R # Load SparkR library into your R session library(SparkR) # Initialize SparkSession sparkR.session(appName = "SparkR-ML-survreg-example") # $example on$ # Use the ovarian dataset available in R survival package library(survival) # Fit an accelerated failure time (AFT) survival regression model with spark.survreg ovarianDF <- suppressWarnings(createDataFrame(ovarian)) aftDF <- ovarianDF aftTestDF <- ovarianDF aftModel <- spark.survreg(aftDF, Surv(futime, fustat) ~ ecog_ps + rx) # Model summary summary(aftModel) # Prediction aftPredictions <- predict(aftModel, aftTestDF) head(aftPredictions) # $example off$ sparkR.session.stop()