SampleToMiniBatch

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

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. def apply[T](miniBatch: MiniBatch[T], batchSize: Int, partitionNum: Option[Int])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): SampleToMiniBatch[T]

   

   Apply an SampleToMiniBatch transformer with UDF MiniBatch.

   Apply an SampleToMiniBatch transformer with UDF MiniBatch.

   miniBatch

   An User-Defined MiniBatch to construct a mini batch.

   batchSize

   total batch size

5. def apply[T](batchSize: Int, featurePaddingParam: Option[PaddingParam[T]] = None, labelPaddingParam: Option[PaddingParam[T]] = None, partitionNum: Option[Int] = None)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): SampleToMiniBatch[T]

   

   Apply an SampleToMiniBatch transformer.

   Apply an SampleToMiniBatch transformer.

   batchSize

   total batch size

   featurePaddingParam

   feature padding strategy, see com.intel.analytics.bigdl.dataset.PaddingParam for details.

   labelPaddingParam

   label padding strategy, see com.intel.analytics.bigdl.dataset.PaddingParam for details.

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9. def equals(arg0: Any): Boolean

   

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10. def finalize(): Unit

    

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