case class Variable(xj: VectoD, j: Int, kind: VariableKind.VariableKind = Continuous, name_: String = null, concept: String = null) extends Product with Serializable
The Variable
class provides meta-data for a variable including its kind,
distinct values, name and optional ontological concept. The variable may
be an input variable (feature) or an output variable (response). Typically,
it represents a column 'xj' in a data matrix.
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Several modeling techniques such as decision trees need to divide the values
into groups, e.g., for branch values:
When 'xj' is categorical, these will be all its distinct values.
Otherwise, these will be 0 (up to threshold) or 1 (above threshold).
- xj
the column vector (feature/response)
- j
the index position within the relevant data matrix
- kind
indication of the variable kind
- concept
an optional URI for an optological concept
- See also
classifier.Node
for 'threshold'
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new
Variable(xj: VectoD, j: Int, kind: VariableKind.VariableKind = Continuous, name_: String = null, concept: String = null)
- xj
the column vector (feature/response)
- j
the index position within the relevant data matrix
- kind
indication of the variable kind
- concept
an optional URI for an optological concept
Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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def
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- val concept: String
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final
def
eq(arg0: AnyRef): Boolean
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final
def
getClass(): Class[_]
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final
def
isInstanceOf[T0]: Boolean
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- val j: Int
- val kind: VariableKind.VariableKind
- val name: String
- val name_: String
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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def
notifyAll(): Unit
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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- val values: VectoI
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final
def
wait(arg0: Long, arg1: Int): Unit
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def
wait(arg0: Long): Unit
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final
def
wait(): Unit
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- val xj: VectoD
Deprecated Value Members
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def
finalize(): Unit
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