Bases: Clusterer
A wrapper class for using MOA (Massive Online Analysis) clusterers in CapyMOA.
Attributes:
- schema: The schema representing the instances. Defaults to None.
- CLI: The command-line interface (CLI) configuration for the MOA learner.
- random_seed: The random seed for reproducibility. Defaults to 1.
- moa_learner: The MOA learner object or class identifier.
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__init__(moa_learner, schema=None, CLI=None)[source]
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cli_help()[source]
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classmethod from_params(
- schema: Any = None,
- params: dict[str, Any] | None = None,
- random_seed: int = 1,
) → Any[source]
Construct an instance from parameters produced by get_params.
-
get_clustering_result()[source]
-
get_micro_clustering_result()[source]
-
get_params() → dict[str, Any][source]
Return the hyper-parameters captured from the constructor.
-
abstract implements_macro_clusters() → bool[source]
-
abstract implements_micro_clusters() → bool[source]
-
train(instance)[source]
