object SampleToMiniBatch extends Serializable
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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
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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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