Enum: MLAlgorithmFamily

Example machine-learning algorithm families enumerated in Clause 5.12.

URI: iso22989:MLAlgorithmFamily

Permissible Values

Value	Meaning	Description
neural_network	None	Networks of interconnected processing units (artificial neurons) trained by g...
bayesian_network	None	Probabilistic graphical models encoding conditional dependencies between vari...
decision_tree	None	Tree-structured models splitting the input space on feature thresholds
support_vector_machine	None	Margin-maximising classifiers operating in (possibly kernelised) feature spac...
genetic_algorithm	None	Population-based optimisation inspired by biological evolution (Clause 5

Slots

Name	Description
algorithm_family	Algorithm family the model belongs to

In Subsets

• Terminology

Identifier and Mapping Information

Schema Source

• from schema: https://w3id.org/lmodel/iso22989

LinkML Source

name: MLAlgorithmFamily
description: Example machine-learning algorithm families enumerated in Clause 5.12.
in_subset:
- terminology
from_schema: https://w3id.org/lmodel/iso22989
rank: 1000
permissible_values:
  neural_network:
    text: neural_network
    description: Networks of interconnected processing units (artificial neurons)
      trained by gradient methods.
  bayesian_network:
    text: bayesian_network
    description: Probabilistic graphical models encoding conditional dependencies
      between variables.
  decision_tree:
    text: decision_tree
    description: Tree-structured models splitting the input space on feature thresholds.
  support_vector_machine:
    text: support_vector_machine
    description: Margin-maximising classifiers operating in (possibly kernelised)
      feature spaces.
  genetic_algorithm:
    text: genetic_algorithm
    description: Population-based optimisation inspired by biological evolution (Clause
      5.8).