River2SKLClusterer¶
Compatibility layer from River to scikit-learn for clustering.
Parameters¶
-
river_estimator
Type → base.Clusterer
Methods¶
fit
Fits to an entire dataset contained in memory.
Parameters
- X
- y — defaults to
None
Returns
self
fit_predict
Perform clustering on X
and returns cluster labels.
Parameters
- X
- y — defaults to
None
Returns
ndarray of shape (n_samples,), dtype=np.int64
get_metadata_routing
Get metadata routing of this object.
Please check :ref:User Guide <metadata_routing>
on how the routing mechanism works.
Returns
MetadataRequest
get_params
Get parameters for this estimator.
Parameters
- deep — defaults to
True
Returns
dict
partial_fit
Fits incrementally on a portion of a dataset.
Parameters
- X
- y
Returns
self
predict
Predicts the target of an entire dataset contained in memory.
Parameters
- X
Returns
Transformed output.
set_params
Set the parameters of this estimator.
The method works on simple estimators as well as on nested objects (such as :class:~sklearn.pipeline.Pipeline
). The latter have parameters of the form <component>__<parameter>
so that it's possible to update each component of a nested object.
Parameters
- params
Returns
estimator instance