text: /*
   * 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.spot.lda
  
  import org.apache.spark.mllib.linalg.{Matrix, Vector}
  import org.apache.spark.rdd.RDD
  import org.apache.spark.sql.DataFrame
  
  /**
    * LDA results formatted for Apache Spot scoring.
    *
    */
  class SpotLDAResult(private final val helper: SpotLDAHelper,
                      final val topicDistributions: RDD[(Long, Vector)],
                      final val documentToTopicMix: DataFrame,
                      final val topicsMix: Matrix,
                      final val wordToTopicMix: Map[String, Array[Double]])
  
  object SpotLDAResult {
  
    def apply(helper: SpotLDAHelper, topicDistributions: RDD[(Long, Vector)], topicsMix: Matrix): SpotLDAResult = {
  
      val documentToTopicMix: DataFrame = helper.formatDocumentDistribution(topicDistributions)
      val wordToTopicMix: Map[String, Array[Double]] = helper.formatTopicDistributions(topicsMix)
  
      new SpotLDAResult(helper, topicDistributions, documentToTopicMix, topicsMix, wordToTopicMix)
    }
  }
  