grakel.KMTransformer

class grakel.KMTransformer(K=None)

A Kernel Matrix Transformer.

Usefull for using precalculated Kernel Matrices inside scikit-learn pipeline.

Parameters

Karray-like, shape=[n, n]

If given an array the input can be as follows:

• array-like lists of lists

• np.array

• sparse matrix (scipy.sparse)

It can also be embedded in an sklearn Bunch object as a mat (argument)

Attributes

K_numpy.array, shape=[n, n]

Methods

fit(X[, y])	Fit a list of indeces.
fit_transform(X[, y])	Fit and transform, on the same dataset.
get_params([deep])	Get parameters for this estimator.
initialize()	Initialize all transformer arguments, needing initialisation.
set_params(**params)	Set the parameters of this estimator.
transform(X)	Calculate the kernel matrix, between given and fitted dataset.

Initialise the Kernel Matrix Transformer

Methods

fit(X[, y])	Fit a list of indeces.
fit_transform(X[, y])	Fit and transform, on the same dataset.
get_params([deep])	Get parameters for this estimator.
initialize()	Initialize all transformer arguments, needing initialisation.
set_params(**params)	Set the parameters of this estimator.
transform(X)	Calculate the kernel matrix, between given and fitted dataset.

__init__(K=None)

Initialise the Kernel Matrix Transformer