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examples/src/main/r/ml/fpm.R
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[SPARK-20208][R][DOCS] Document R fpGrowth support
19 апр 2017, 05:59
19 апр 2017, 05:59
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# # 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()