NerBatch

Instance Constructors

new NerBatch(wordEmbeddings: Array[Array[Array[Float]]], charIds: Array[Array[Array[Int]]], wordLengths: Array[Array[Int]], sentenceLengths: Array[Int], maxLength: Int, isWordStart: Array[Array[Boolean]])

wordEmbeddings
Word vector representation. Shape: Batch x Max Sentence Length x Embeddings Dim
charIds
Char ids for every word in every sentence. Shape: Batch x Max Sentence Length x Max Word length
wordLengths
Word Length of every sentence. Shape: Batch x Max Sentence Length
sentenceLengths
Length of every batch sentence. Shape: Batch
maxLength
Max length of sentence
isWordStart
Is current wordpiece is token start? Shape: Batch x Max Sentence Length

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def asInstanceOf[T0]: T0

Definition Classes
Any
def batchSize: Int
val charIds: Array[Array[Array[Int]]]

Char ids for every word in every sentence.
Char ids for every word in every sentence. Shape: Batch x Max Sentence Length x Max Word length
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def hashCode(): Int

Definition Classes
AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
val isWordStart: Array[Array[Boolean]]

Is current wordpiece is token start? Shape: Batch x Max Sentence Length
val maxLength: Int

Max length of sentence
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val sentenceLengths: Array[Int]

Length of every batch sentence.
Length of every batch sentence. Shape: Batch
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
val wordEmbeddings: Array[Array[Array[Float]]]

Word vector representation.
Word vector representation. Shape: Batch x Max Sentence Length x Embeddings Dim
val wordLengths: Array[Array[Int]]

Word Length of every sentence.
Word Length of every sentence. Shape: Batch x Max Sentence Length

Related Docs: object NerBatch | package tensorflow

class NerBatch extends AnyRef

Instance Constructors

new NerBatch(wordEmbeddings: Array[Array[Array[Float]]], charIds: Array[Array[Array[Int]]], wordLengths: Array[Array[Int]], sentenceLengths: Array[Int], maxLength: Int, isWordStart: Array[Array[Boolean]])

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def batchSize: Int

val charIds: Array[Array[Array[Int]]]

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

val isWordStart: Array[Array[Boolean]]

val maxLength: Int

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val sentenceLengths: Array[Int]

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

val wordEmbeddings: Array[Array[Array[Float]]]

val wordLengths: Array[Array[Int]]

Inherited from AnyRef

Inherited from Any

Ungrouped