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|
package com.yahoo.example.blog
import org.apache.spark.sql.SparkSession
object BlogRecommendationApp {
val usage = """
Usage: spark-submit \
| --class "BlogRecommendationApp" \
| --master local[4] \
| JAR_FILE
| --task task_command [TASK RELATED OPTIONS]
spark-submit \
| --class "BlogRecommendationApp" \
| --master local[4] \
| JAR_FILE
| --task collaborative_filtering
| --input_file path
| --rank value
| --numIterations value
| --lambda value
| --output_path path
spark-submit \
| --class "BlogRecommendationApp" \
| --master local[4] \
| JAR_FILE
| --task collaborative_filtering_cv
| --input_file path
| --numIterations value
| --output_path path
|
spark-submit \
| --class "BlogRecommendationApp" \
| --master local[4] \
| JAR_FILE
| --task split_set
| --input_file path
| --test_perc_stage1 value
| --test_perc_stage2 value
| --seed value
| --output_path path
"""
private val COLLABORATIVE_FILTERING = "collaborative_filtering"
private val COLLABORATIVE_FILTERING_CV = "collaborative_filtering_cv"
private val SPLIT_SET_INTO_TRAIN_AND_TEST = "split_set"
type OptionMap = Map[Symbol, Any]
def main(args: Array[String]) {
val options = parseCommandLineOptions(args)
val task_name = options('task).toString
task_name match {
case COLLABORATIVE_FILTERING => CollaborativeFilteringExample(options)
case COLLABORATIVE_FILTERING_CV => CollaborativeFilteringCV(options)
case SPLIT_SET_INTO_TRAIN_AND_TEST => SplitSetIntoTrainingAndTestSets(options)
}
}
private def SplitSetIntoTrainingAndTestSets(options: OptionMap) = {
val spark = SparkSession
.builder()
.appName("Split Full Data Into Train and Test Sets")
.getOrCreate()
val splitter = new SplitFullSetIntoTrainAndTestSets(spark)
val sets = splitter.run(input_file_path = options('input_file).toString,
test_perc_stage1 = options('test_perc_stage1).toString.toDouble,
test_perc_stage2 = options('test_perc_stage2).toString.toDouble,
seed = options('seed).toString.toInt)
SplitFullSetIntoTrainAndTestSets.writeTrainAndTestSetsIndices(sets, options('output_path).toString)
}
private def CollaborativeFilteringExample(options: OptionMap) = {
// TODO: Check if output_path already exist
val spark = SparkSession
.builder()
.appName("Collaborative Filtering")
.getOrCreate()
val cf = new CollaborativeFiltering(spark)
val model = cf.run(
input_path = options('input_file).toString,
rank = options('rank).toString.toInt,
numIterations = options('num_iterations).toString.toInt,
lambda = options('lambda).toString.toDouble)
CollaborativeFiltering.writeFeaturesAsVespaTensorText(model, options('output_path).toString)
}
private def CollaborativeFilteringCV(options: OptionMap) = {
// TODO: Check if output_path already exist
val spark = SparkSession
.builder()
.appName("Collaborative Filtering CV")
.getOrCreate()
val cf = new CollaborativeFiltering(spark)
val model = cf.run_pipeline(
input_path = options('input_file).toString,
numIterations = options('num_iterations).toString.toInt)
CollaborativeFiltering.writeFeaturesAsVespaTensorText(model, options('output_path).toString)
}
private def parseCommandLineOptions(args: Array[String]): OptionMap = {
def findTask(list: List[String]) : String = {
list match {
case Nil => println("Please, define a valid task" + "\n" + usage)
sys.exit(1)
case "--task" :: value :: tail =>
value
case option :: tail => findTask(tail)
}
}
def ParseCollaborativeFilteringOptions(map : OptionMap, list: List[String]) : OptionMap = {
list match {
case Nil => map
case "--input_file" :: value :: tail =>
ParseCollaborativeFilteringOptions(map ++ Map('input_file -> value.toString), tail)
case "--rank" :: value :: tail =>
ParseCollaborativeFilteringOptions(map ++ Map('rank -> value.toInt), tail)
case "--numIterations" :: value :: tail =>
ParseCollaborativeFilteringOptions(map ++ Map('num_iterations -> value.toInt), tail)
case "--lambda" :: value :: tail =>
ParseCollaborativeFilteringOptions(map ++ Map('lambda -> value.toDouble), tail)
case "--output_path" :: value :: tail =>
ParseCollaborativeFilteringOptions(map ++ Map('output_path -> value.toString), tail)
case option :: tail =>
ParseCollaborativeFilteringOptions(map, tail)
}
}
def ParseCollaborativeFilteringCVOptions(map : OptionMap, list: List[String]) : OptionMap = {
list match {
case Nil => map
case "--input_file" :: value :: tail =>
ParseCollaborativeFilteringOptions(map ++ Map('input_file -> value.toString), tail)
case "--numIterations" :: value :: tail =>
ParseCollaborativeFilteringOptions(map ++ Map('num_iterations -> value.toInt), tail)
case "--output_path" :: value :: tail =>
ParseCollaborativeFilteringOptions(map ++ Map('output_path -> value.toString), tail)
case option :: tail =>
ParseCollaborativeFilteringOptions(map, tail)
}
}
def ParseSplitSetOptions(map : OptionMap, list: List[String]) : OptionMap = {
list match {
case Nil => map
case "--input_file" :: value :: tail =>
ParseSplitSetOptions(map ++ Map('input_file -> value.toString), tail)
case "--test_perc_stage1" :: value :: tail =>
ParseSplitSetOptions(map ++ Map('test_perc_stage1 -> value.toDouble), tail)
case "--test_perc_stage2" :: value :: tail =>
ParseSplitSetOptions(map ++ Map('test_perc_stage2 -> value.toDouble), tail)
case "--seed" :: value :: tail =>
ParseSplitSetOptions(map ++ Map('seed -> value.toInt), tail)
case "--output_path" :: value :: tail =>
ParseSplitSetOptions(map ++ Map('output_path -> value.toString), tail)
case option :: tail =>
ParseSplitSetOptions(map , tail)
}
}
if (args.length == 0) println(usage)
val arglist = args.toList
val task_name = findTask(arglist)
val options = task_name match {
case COLLABORATIVE_FILTERING => ParseCollaborativeFilteringOptions(Map('task -> task_name), arglist)
case COLLABORATIVE_FILTERING_CV => ParseCollaborativeFilteringCVOptions(Map('task -> task_name), arglist)
case SPLIT_SET_INTO_TRAIN_AND_TEST => ParseSplitSetOptions(Map('task -> task_name), arglist)
}
options
}
}
|
