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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.
*/
package org.apache.predictionio.examples.similarproduct
import org.apache.predictionio.controller.EngineFactory
import org.apache.predictionio.controller.Engine
case class Query(
items: List[String],
num: Int,
categories: Option[Set[String]],
categoryBlackList: Option[Set[String]],
whiteList: Option[Set[String]],
blackList: Option[Set[String]]
)
case class PredictedResult(
itemScores: Array[ItemScore]
){
override def toString: String = itemScores.mkString(",")
}
case class ItemScore(
item: String,
score: Double
)
object SimilarProductEngine extends EngineFactory {
def apply() = {
new Engine(
classOf[DataSource],
classOf[Preparator],
Map(
"als" -> classOf[ALSAlgorithm],
"cooccurrence" -> classOf[CooccurrenceAlgorithm]),
classOf[Serving])
}
}