Enum: MachineLearningParadigm

Top-level machine-learning paradigms enumerated in Clause 5.11.

Permissible Values

Value	Meaning	Description
supervised	None	Learning from labelled input-output examples
unsupervised	None	Learning structure from unlabelled data (clustering, density estimation, dime...
semi_supervised	None	Learning from a mixture of labelled and unlabelled data
reinforcement	None	Learning policies by interaction with an environment that issues rewards
transfer	None	Reusing knowledge learned on one task to accelerate learning on a related tas...
self_supervised	None	Learning representations from data using auxiliary tasks derived from the dat...

Slots

Name	Description
model_paradigm	Machine-learning paradigm under which the model was trained

In Subsets

Terminology

Identifier and Mapping Information

Schema Source

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

LinkML Source

name: MachineLearningParadigm
description: Top-level machine-learning paradigms enumerated in Clause 5.11.
in_subset:
- terminology
from_schema: https://w3id.org/lmodel/iso22989
rank: 1000
permissible_values:
  supervised:
    text: supervised
    description: Learning from labelled input-output examples.
  unsupervised:
    text: unsupervised
    description: Learning structure from unlabelled data (clustering, density estimation,
      dimensionality reduction).
  semi_supervised:
    text: semi_supervised
    description: Learning from a mixture of labelled and unlabelled data.
  reinforcement:
    text: reinforcement
    description: Learning policies by interaction with an environment that issues
      rewards.
  transfer:
    text: transfer
    description: Reusing knowledge learned on one task to accelerate learning on a
      related task.
  self_supervised:
    text: self_supervised
    description: Learning representations from data using auxiliary tasks derived
      from the data itself.