CSVMDSIterator

Value Members

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. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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6. final def eq(arg0: AnyRef): Boolean

   

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7. def equals(arg0: Any): Boolean

   

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8. def finalize(): Unit

   

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9. def fromPlainCSV(filePath: String, numLinesToSkip: Int = 1, delimiter: Char = CSVRecordReader.DEFAULT_DELIMITER, quote: Char = CSVRecordReader.DEFAULT_QUOTE, batchSize: Int = 128, rrName: String = "rr", iCols: Array[(Int, Int)] = Array(), iOHCols: Array[(Int, Int)] = Array(), oCols: Array[(Int, Int)] = Array(), oOHCols: Array[(Int, Int)] = Array(), seed: Long = 2018L): RecordReaderMultiDataSetIterator

   

   Columnar CSV file

   Columnar CSV file

   filePath

   file name path

   numLinesToSkip

   number of lines to skip, default=1

   delimiter

   delimiter, default=','. Other options:

   '\t': for tab-delimitd
   CSVRecordReader.QUOTE_HANDLING_DELIMITER: for records containing quotes with commas in them

   quote

   quote, default='\"'

   batchSize

   batch size, default=128

   rrName

   record reader name, default=rr

   iCols

   input columns, an array of tuples (indexFrom indexTo), default=Array()

   iOHCols

   one-hot input columns, an array of tuples (index, cardinality), default=Array()

   oCols

   output columns, an array of tuples (indexFrom indexTo), default=Array()

   oOHCols

   one-hot output columns, an array of tuples (index, cardinality), default=Array()

   seed

   random generator seed, default=2018L

   returns

   dataset iterator

10. def fromPlainCSVWithSchema(filePath: String, columnNameTypes: Array[(String, String)], columnCategoricalValues: Map[String, Array[String]] = Map(), removeColumns: Array[String] = Array(), categorical2OneHots: Array[String] = Array(), categorical2Ints: Array[String] = Array(), numLinesToSkip: Int = 1, delimiter: Char = CSVRecordReader.DEFAULT_DELIMITER, quote: Char = CSVRecordReader.DEFAULT_QUOTE, batchSize: Int = 128, rrName: String = "rr", iCols: Array[(String, (Int, Int))] = Array(), oCols: Array[(String, (Int, Int))] = Array(), seed: Long = 2018L): RecordReaderMultiDataSetIterator

    

    Columnar CSV file

    Columnar CSV file

    filePath

    file name path

    columnNameTypes

    columm name and types, preserving the order of the input files types: "double", "float", "long", "integer", "string", "categorical" (must provide the value list).

    columnCategoricalValues

    categorical column values

    removeColumns

    columns to ignore

    categorical2OneHots

    columns to transform to one-hots

    categorical2Ints

    columns to transform to ints

    numLinesToSkip

    number of lines to skip, default=1

    delimiter

    delimiter, default=','. Other options:

    '\t': for tab-delimitd
    CSVRecordReader.QUOTE_HANDLING_DELIMITER: for records containing quotes with commas in them

    quote

    quote, default='\"'

    batchSize

    batch size, default=128

    rrName

    record reader name, default=rr

    iCols

    input columns, an array of tuples (whether one-hot, (indexFrom indexTo)), default=Array()

    oCols

    output columns, an array of tuples (whether one-hot, (indexFrom indexTo)), default=Array()

    returns

    dataset iterator

11. final def getClass(): Class[_]

    

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12. def hashCode(): Int

    

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13. final def isInstanceOf[T0]: Boolean

    

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14. final def ne(arg0: AnyRef): Boolean

    

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15. final def notify(): Unit

    

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16. final def notifyAll(): Unit

    

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17. final def synchronized[T0](arg0: ⇒ T0): T0

    

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18. def toString(): String

    

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19. final def wait(): Unit

    

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20. final def wait(arg0: Long, arg1: Int): Unit

    

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21. final def wait(arg0: Long): Unit

    

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