pykoop.DataCenters
- class DataCenters(centers=None)
Bases:
Centers
Centers taken from raw data upon instantiation or fit.
- Parameters:
centers (ndarray | None)
- centers_
Centers, shape (n_centers, n_features).
- Type:
np.ndarray
- __init__(centers=None)
Instantiate
DataCenters
.- Parameters:
centers (np.ndarray) – Array of centers, shape (n_centers, n_features). If
None
, then centers are taken from fit.
Methods
__init__
([centers])Instantiate
DataCenters
.fit
(X[, y])Generate centers from data.
Get metadata routing of this object.
get_params
([deep])Get parameters for this estimator.
set_params
(**params)Set the parameters of this estimator.
- fit(X, y=None)
Generate centers from data.
- Parameters:
X (np.ndarray) – Data matrix.
y (Optional[np.ndarray]) – Ignored.
- Returns:
Instance of itself.
- Return type:
- Raises:
ValueError – If any of the constructor parameters are incorrect.
- get_metadata_routing()
Get metadata routing of this object.
Please check User Guide on how the routing mechanism works.
- Returns:
routing – A
MetadataRequest
encapsulating routing information.- Return type:
MetadataRequest
- get_params(deep=True)
Get parameters for this estimator.
- set_params(**params)
Set the parameters of this estimator.
The method works on simple estimators as well as on nested objects (such as
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 (dict) – Estimator parameters.
- Returns:
self – Estimator instance.
- Return type:
estimator instance