org.tensorflow.spark.datasources.tfrecords.serde

TfRecordRowDecoder

trait TfRecordRowDecoder extends AnyRef

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DefaultTfRecordRowDecoder
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  1. abstract def decodeExample(example: Example, schema: StructType): Row

    Decodes each TensorFlow "Example" as DataFrame "Row"

    Decodes each TensorFlow "Example" as DataFrame "Row"

    Maps each feature in Example to element in Row with DataType based on custom schema

    example

    TensorFlow Example to decode

    schema

    Decode Example using specified schema

    returns

    a DataFrame row

  2. abstract def decodeSequenceExample(sequenceExample: SequenceExample, schema: StructType): Row

    Decodes each TensorFlow "SequenceExample" as DataFrame "Row"

    Decodes each TensorFlow "SequenceExample" as DataFrame "Row"

    Maps each feature in SequenceExample to element in Row with DataType based on custom schema

    sequenceExample

    TensorFlow SequenceExample to decode

    schema

    Decode SequenceExample using specified schema

    returns

    a DataFrame row

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