com.intel.analytics.bigdl.dataset

SampleToMiniBatch

object SampleToMiniBatch extends Serializable

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  6. 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

    returns

  7. 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.

    returns

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