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Diffstat (limited to 'examples/src/main/r/ml/fpm.R')
-rw-r--r-- | examples/src/main/r/ml/fpm.R | 50 |
1 files changed, 50 insertions, 0 deletions
diff --git a/examples/src/main/r/ml/fpm.R b/examples/src/main/r/ml/fpm.R new file mode 100644 index 0000000000..89c4564457 --- /dev/null +++ b/examples/src/main/r/ml/fpm.R @@ -0,0 +1,50 @@ +# +# 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/fpm.R + +# Load SparkR library into your R session +library(SparkR) + +# Initialize SparkSession +sparkR.session(appName = "SparkR-ML-fpm-example") + +# $example on$ +# Load training data + +df <- selectExpr(createDataFrame(data.frame(rawItems = c( + "1,2,5", "1,2,3,5", "1,2" +))), "split(rawItems, ',') AS items") + +fpm <- spark.fpGrowth(df, itemsCol="items", minSupport=0.5, minConfidence=0.6) + +# Extracting frequent itemsets + +spark.freqItemsets(fpm) + +# Extracting association rules + +spark.associationRules(fpm) + +# Predict uses association rules to and combines possible consequents + +predict(fpm, df) + +# $example off$ + +sparkR.session.stop() |