org.apache.ignite.ml.structures.preprocessing

## Class LabeledDatasetLoader

- java.lang.Object
- - org.apache.ignite.ml.structures.preprocessing.LabeledDatasetLoader

-     public class LabeledDatasetLoader
      extends Object

  Data pre-processing step which loads data from different file types.

- - ### Constructor Summary

    Constructors
    Constructor and Description
    `LabeledDatasetLoader()`

  - ### Method Summary

    All Methods Static Methods Concrete Methods
    Modifier and Type | Method and Description
    --- | ---
    `static LabeledVectorSet` | `loadFromTxtFile(Path pathToFile, String separator, boolean isFallOnBadData)` Datafile should keep class labels in the first column.

    - ### Methods inherited from class java.lang.Object

      `clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

- - ### Constructor Detail

    - #### LabeledDatasetLoader

          public LabeledDatasetLoader()

  - ### Method Detail

    - #### loadFromTxtFile

          public static LabeledVectorSet loadFromTxtFile(Path pathToFile,
                                                         String separator,
                                                         boolean isFallOnBadData)
                                                  throws IOException

      Datafile should keep class labels in the first column.
      Parameters:
        `pathToFile` - Path to file.
        `separator` - Element to tokenize row on separate tokens.
        `isFallOnBadData` - Fall on incorrect data if true.
      Returns:
        Labeled Dataset parsed from file.
      Throws:
        `IOException`

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Ignite Database and Caching Platform | : ver. 2.9.1
Release Date | : December 9 2020