Bases: LearnerParamsMixin, ABC
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__init__(schema: Schema, random_seed=1)[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.
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abstract get_clustering_result()[source]
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abstract get_micro_clustering_result()[source]
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get_params() → dict[str, Any][source]
Return the hyper-parameters captured from the constructor.
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abstract implements_macro_clusters() → bool[source]
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abstract implements_micro_clusters() → bool[source]
-
abstract train(instance: Instance)[source]
