object
H2OSchemaUtils
Value Members
-
final
def
!=(arg0: AnyRef): Boolean
-
final
def
!=(arg0: Any): Boolean
-
final
def
##(): Int
-
final
def
==(arg0: AnyRef): Boolean
-
final
def
==(arg0: Any): Boolean
-
val
ARRAY_TYPE: Byte
-
val
NORMAL_TYPE: Byte
-
val
VEC_TYPE: Byte
-
final
def
asInstanceOf[T0]: T0
-
def
clone(): AnyRef
-
def
collectArrayLikeTypes(fields: Seq[StructField], path: Seq[Int] = Seq()): Seq[Seq[Int]]
-
def
collectStringTypesIndx(fields: Seq[StructField], path: Seq[Int] = Seq()): Seq[Seq[Int]]
-
def
collectTypeIndx(fields: Seq[StructField], path: Seq[Int] = Seq()): Seq[Seq[Int]]
-
def
collectVectorLikeTypes(fields: Seq[StructField], path: Seq[Int] = Seq()): Seq[Seq[Int]]
-
def
createSchema(f: H2OFrame): StructType
-
def
dataTypeToVecType(dt: DataType): Byte
-
final
def
eq(arg0: AnyRef): Boolean
-
def
equals(arg0: Any): Boolean
-
def
expandedSchema(sc: SparkContext, srdd: DataFrame): Seq[(Seq[Int], StructField, Byte)]
-
def
finalize(): Unit
-
def
flatSchema(s: StructType, typeName: Option[String] = None, nullable: Boolean = false): Seq[StructField]
-
final
def
getClass(): Class[_]
-
def
hashCode(): Int
-
final
def
isInstanceOf[T0]: Boolean
-
final
def
ne(arg0: AnyRef): Boolean
-
final
def
notify(): Unit
-
final
def
notifyAll(): Unit
-
def
numericVecTypeToDataType(v: Vec): DataType
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
-
def
toString(): String
-
def
vecTypeToDataType(v: Vec): DataType
-
final
def
wait(): Unit
-
final
def
wait(arg0: Long, arg1: Int): Unit
-
final
def
wait(arg0: Long): Unit
Inherited from AnyRef
Inherited from Any
Utilities for working with Spark SQL component.