scalation/scalation/scalation.modeling/Variable

Variable

scalation.modeling.Variable

See theVariable companion object

case class Variable(xj: VectorD, j: Int, kind: VariableKind, name_: String, concept: String)

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.

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).

Value parameters

concept: an optional URI for an optological concept
j: the index position within the relevant data matrix
kind: indication of the variable kind
name: the name of column (feature or response)
xj: the column vector (feature/response)

Attributes

See also: classifier.Node for 'threshold'
Companion: object
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Supertypes: trait Serializable

trait Product

trait Equals

class Object

trait Matchable

class Any
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Variable

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.

Value parameters

Attributes

Members list

Value members

Inherited methods

Attributes

Attributes

Concrete fields

Variable

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.

Value parameters

Attributes

Members list

Value members

Inherited methods

Attributes

Attributes

Concrete fields

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.