Packages

package root

Welcome to the Graph for Scala API reference.

Welcome to the Graph for Scala API reference. Some suggested entry points:

Graph editing:
- operators of AnyGraph
- operators of immutable.Graph and its inner nodes
- operators of mutable.Graph and its inner nodes.
Predefined edges:
- classes in the edges package and its subpackages
- classes in the hyperedges package and its subpackages.
Custom edge toolbox:
- abstract classes in the labeled edges package
- abstract classes in the multilabeled edges package
- abstract classes in the labeled hyperedges package
- abstract classes in the multilabeled hyperedges package
- abstract classes in the ordered labeled hyperedges package
- abstract classes in the ordered multilabeled hyperedges object
- traits in the generic package.
Graph traversal:
- methods of GraphTraversal and TraverserInnerNode.
Random graphs RandomGraph.
Scalacheck graph generators GraphGen.

Definition Classes: root

package scalax

Definition Classes: root

package collection

Contains the base traits and objects needed to use Graph for Scala.

See also the Graph for Scala Core User Guide.

Definition Classes: scalax

package generator

This package helps you to create random graphs with predefined metrics.

This package helps you to create random graphs with predefined metrics. It is not only possible to create random graph instances but also Scalacheck generators.

Definition Classes: collection

package parameters

Definition Classes: generator

scalax.collection.generator

parameters

package parameters

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Type Members

case class EdgeArityRange(min: Int, max: Int, uniform: Boolean = true) extends RandomRange with Product with Serializable
The arity of edges to be generated.
case class MultiplicityRange(min: Int, max: Int, uniform: Boolean = true) extends RandomRange with Product with Serializable
case class NodeDegreeRange(min: Int, max: Int, uniform: Boolean = true) extends RandomRange with Product with Serializable
The node degrees to be generated.
The node degrees to be generated.
min
the minimum degree nodes should have.
max
the maximum degree nodes should have with high probability.
uniform
true for uniform, false for normal distribution of node degrees.
abstract class RandomRange extends AnyRef

Value Members

object EdgeArity2 extends EdgeArityRange
Edge arity for non-hyperedges equaling to 2.
object NoMultipleEdges extends MultiplicityRange

Packages

parameters

package parameters

Type Members

Value Members

Ungrouped

parameters