Pool

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

3. final def ==(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

4. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

5. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

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

   

   Definition Classes

   AnyRef

7. def equals(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

8. def finalize(): Unit

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( classOf[java.lang.Throwable] )

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

   

   Definition Classes

   AnyRef → Any

10. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

11. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

12. def load(spark: SparkSession, dataPathWithScheme: String, columnDescription: Path = null, params: PoolLoadParams = new PoolLoadParams(), pairsDataPathWithScheme: String = null): Pool

    

    Load dataset in one of CatBoost's natively supported formats:

    Load dataset in one of CatBoost's natively supported formats:

    • dsv
    • libsvm

    spark

    SparkSession

    dataPathWithScheme

    Path with scheme to dataset in CatBoost format. For example, dsv:///home/user/datasets/my_dataset/train.dsv or libsvm:///home/user/datasets/my_dataset/train.libsvm

    columnDescription

    Path to column description file

    params

    Additional params specifying data format.

    pairsDataPathWithScheme

    (optional) Path with scheme to dataset pairs in CatBoost format. Only "dsv-grouped" format is supported for now. For example, dsv-grouped:///home/user/datasets/my_dataset/train_pairs.dsv

    returns

    Pool containing loaded data.

    Example:

    1. val spark = SparkSession.builder()
         .master("local[*]")
         .appName("testLoadDSVSimple")
         .getOrCreate()
       val pool = Pool.load(
         spark,
         "dsv:///home/user/datasets/my_dataset/train.dsv",
         columnDescription = "/home/user/datasets/my_dataset/cd"
       )
        val poolWithPairs = Pool.load(
         spark,
         "dsv:///home/user/datasets/my_dataset_with_pairs/train.dsv",
         columnDescription = "/home/user/datasets/my_dataset_with_pairs/cd",
         pairsDataPathWithScheme = "dsv-grouped:///home/user/datasets/my_dataset_with_pairs/train_pairs.dsv"
       )

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

    

    Definition Classes

    AnyRef

14. final def notify(): Unit

    

    Definition Classes

    AnyRef

15. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

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

    

    Definition Classes

    AnyRef

17. def toString(): String

    

    Definition Classes

    AnyRef → Any

18. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )