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Diffstat (limited to 'examples/src/main/r/ml/isoreg.R')
-rw-r--r-- | examples/src/main/r/ml/isoreg.R | 42 |
1 files changed, 42 insertions, 0 deletions
diff --git a/examples/src/main/r/ml/isoreg.R b/examples/src/main/r/ml/isoreg.R new file mode 100644 index 0000000000..75dce97ed9 --- /dev/null +++ b/examples/src/main/r/ml/isoreg.R @@ -0,0 +1,42 @@ +# +# 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/isoreg.R + +# Load SparkR library into your R session +library(SparkR) + +# Initialize SparkSession +sparkR.session(appName = "SparkR-ML-isoreg-example") + +# $example on$ +# Load training data +df <- read.df("data/mllib/sample_isotonic_regression_libsvm_data.txt", source = "libsvm") +training <- df +test <- df + +# Fit an isotonic regression model with spark.isoreg +model <- spark.isoreg(training, label ~ features, isotonic = FALSE) + +# Model summary +summary(model) + +# Prediction +predictions <- predict(model, test) +showDF(predictions) +# $example off$ |