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