HatMatrix#

class skfda.misc.hat_matrix.HatMatrix(*, kernel=<function normal>)[source]#

Hat Matrix.

Base class for different hat matrices.

Methods

get_metadata_routing()

Get metadata routing of this object.

get_params([deep])

Get parameters for this estimator.

set_params(**params)

Set the parameters of this estimator.

Parameters:

kernel (Callable[[NDArrayFloat], NDArrayFloat]) –

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.

Parameters:

deep (bool, default=True) – If True, will return the parameters for this estimator and contained subobjects that are estimators.

Returns:

params – Parameter names mapped to their values.

Return type:

dict

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

Examples using skfda.misc.hat_matrix.HatMatrix#

Kernel Regression

Kernel Regression

Kernel Smoothing

Kernel Smoothing

Voice signals: smoothing, registration, and classification

Voice signals: smoothing, registration, and classification

Scikit-fda and scikit-learn

Scikit-fda and scikit-learn