class NerBatch extends AnyRef
Batch that contains data in Tensorflow input format.
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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
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- def batchSize: Int
- val charIds: Array[Array[Array[Int]]]
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- val isWordStart: Array[Array[Boolean]]
- val maxLength: Int
- final def ne(arg0: AnyRef): Boolean
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- val sentenceLengths: Array[Int]
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- final def wait(arg0: Long, arg1: Int): Unit
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- val wordEmbeddings: Array[Array[Array[Float]]]
- val wordLengths: Array[Array[Int]]
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- Deprecated
(Since version 9)