com.intel.analytics.bigdl.dataset.datamining

RowTransformSchema

trait RowTransformSchema extends Serializable

A schema describe a transforming job which convert a Row to a Table(Tensor).

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Abstract Value Members

  1. abstract val schemaKey: String

    Key of the schema, which will be the key of Tensor in result Table.

    Key of the schema, which will be the key of Tensor in result Table. So, it should be unique in single RowTransformer.

  2. abstract def transform(values: Seq[Any], fields: Seq[StructField]): Tensor[NumericWildcard]

    Transforming Logic of the Schema

    Transforming Logic of the Schema

    values

    values of selected columns

    fields

    StructFields of selected columns

    returns

    a result Tensor

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

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  9. def equals(arg0: Any): Boolean

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  10. val fieldNames: Seq[String]

    This property will override indices when it is not empty.

    FieldNames of Selected Columns

    This property will override indices when it is not empty.

  11. def finalize(): Unit

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  13. def hashCode(): Int

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  14. val indices: Seq[Int]

    It will work on only when fieldNames is empty, otherwise RowTransformer will select columns accord to fieldNames.

    Indices of Selected Columns

    It will work on only when fieldNames is empty, otherwise RowTransformer will select columns accord to fieldNames. If both indices and fieldNames are empty, RowTransformer will select all columns by default.

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