class
TransformationSchema extends AnyRef
Instance Constructors
-
new
TransformationSchema(outputFeatures: Seq[ColumnDef], identifier: String = "")
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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final
def
asInstanceOf[T0]: T0
-
def
clone(): AnyRef
-
final
def
eq(arg0: AnyRef): Boolean
-
def
equals(arg0: Any): Boolean
-
def
finalize(): Unit
-
final
def
getClass(): Class[_]
-
def
hashCode(): Int
-
val
identifier: String
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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
-
val
outputFeatures: Seq[ColumnDef]
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final
def
synchronized[T0](arg0: ⇒ T0): T0
-
def
toString(): String
-
final
def
wait(): Unit
-
final
def
wait(arg0: Long, arg1: Int): Unit
-
final
def
wait(arg0: Long): Unit
Inherited from AnyRef
Inherited from Any
We need this information to figure out the output structure of the Predictor, e.g. if the resultType is ClassificationResult then there are 3 output columns, if it is RealResult then there is one (double type) column. identifier is used as part of the output column names (we may change how this works in the future).