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c

com.johnsnowlabs.nlp.training

DataLoaderConfig

case class DataLoaderConfig(batchSize: Int = 16, prefetchBatches: Int = 20, shuffleInPartition: Boolean = true, timeoutMillis: Long = 10000) extends Product with Serializable

Configuration for the NerDLDataLoader.

batchSize

Number of sentences per batch (default: 16)

prefetchBatches

Number of batches to prefetch per worker (default: 2). Total prefetch buffer size will be numWorkers * prefetchFactor

shuffleInPartition

Whether to shuffle the data (default: true). Improves training convergence.

timeoutMillis

Timeout in milliseconds for fetching a batch (default: 10000). Prevents hanging on slow operations.

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Instance Constructors

  1. new DataLoaderConfig(batchSize: Int = 16, prefetchBatches: Int = 20, shuffleInPartition: Boolean = true, timeoutMillis: Long = 10000)

    batchSize

    Number of sentences per batch (default: 16)

    prefetchBatches

    Number of batches to prefetch per worker (default: 2). Total prefetch buffer size will be numWorkers * prefetchFactor

    shuffleInPartition

    Whether to shuffle the data (default: true). Improves training convergence.

    timeoutMillis

    Timeout in milliseconds for fetching a batch (default: 10000). Prevents hanging on slow operations.

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  5. val batchSize: Int
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  14. val prefetchBatches: Int
  15. val shuffleInPartition: Boolean
  16. final def synchronized[T0](arg0: ⇒ T0): T0
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  17. val timeoutMillis: Long
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