WordEmbeddingMap

abstract def avgSimilarity(text1: Iterable[String], text2: Iterable[String]): Float

abstract def dim: Int

The dimension (width) of an embedding vector

abstract def get(word: String): Option[IndexedSeq[Float]]

Retrieves the embedding for this word, if it exists in the map

abstract def getOrElseUnknown(word: String): IndexedSeq[Float]

Retrieves the embedding for this word; if it doesn't exist in the map uses the unknown embedding instead.

abstract def isOutOfVocabulary(word: String): Boolean

abstract def keys: Set[String]

Returns all keys presented in the map, excluding the key for the unknown token

abstract def makeCompositeVector(text: Iterable[String]): Array[Float]

abstract def makeCompositeVectorWeighted(text: Iterable[String], weights: Iterable[Float]): Array[Float]

abstract def save(filename: String): Unit

Save this object in binary format.

abstract def unknownEmbedding: IndexedSeq[Float]

The embedding corresponding to the unknown token

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

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

def toString(): String

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit