Encoder

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1. final def !=(arg0: Any): Boolean

   

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12. def mdsEncoding(distancePairs: RDD[(Long, Long, Double)], numPOIS: Int, dimension: Int, spark: SparkSession): (DataFrame, Array[(Long, Array[Double])])

    

    multiple dimensional encoding

    multiple dimensional encoding

    distancePairs

    distance between pair of pois

    numPOIS

    number of pois

    dimension

    mapped coordinate dimension

    returns

    encoded coordinates for each poi in DataFrame

13. final def ne(arg0: AnyRef): Boolean

    

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14. final def notify(): Unit

    

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15. final def notifyAll(): Unit

    

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16. def oneHotEncoding(poiCategories: RDD[(Long, Set[String])], spark: SparkSession): (DataFrame, Array[Array[Int]])

    

    One hot encoding categorical data

    One hot encoding categorical data

    returns

    one hot encoded DataFrame for each poi

17. final def synchronized[T0](arg0: ⇒ T0): T0

    

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19. final def wait(): Unit

    

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22. def wordVectorEncoder(poiCategories: RDD[(Long, Set[String])], spark: SparkSession): (DataFrame, RDD[(Int, Array[Double])])

    

    word2Vec encoding

    word2Vec encoding

    poiCategories

    category ids with corresponding category values

    returns

    word2Vec encoded categories for each poi in DataFrame