grakel.VertexHistogram¶
- class grakel.VertexHistogram(n_jobs=None, normalize=False, verbose=False, sparse='auto')[source][source]¶
Vertex Histogram kernel as found in [SB15].
- Parameters
- sparsebool, or ‘auto’, default=’auto’
Defines if the data will be stored in a sparse format. Sparse format is slower, but less memory consuming and in some cases the only solution. If ‘auto’, uses a sparse matrix when the number of zeros is more than the half of the matrix size. In all cases if the dense matrix doesn’t fit system memory, I sparse approach will be tried.
- Attributes
- None.
Methods
diagonal()Calculate the kernel matrix diagonal of the fitted data.
fit(X[, y])Fit a dataset, for a transformer.
fit_transform(X)Fit and transform, on the same dataset.
get_params([deep])Get parameters for this estimator.
initialize()Initialize all transformer arguments, needing initialisation.
pairwise_operation(x, y)Calculate a pairwise kernel between two elements.
parse_input(X)Parse and check the given input for VH kernel.
set_params(**params)Call the parent method.
transform(X)Calculate the kernel matrix, between given and fitted dataset.
Initialise a vertex histogram kernel.
- Attributes
- X
Methods
diagonal()Calculate the kernel matrix diagonal of the fitted data.
fit(X[, y])Fit a dataset, for a transformer.
fit_transform(X)Fit and transform, on the same dataset.
get_params([deep])Get parameters for this estimator.
initialize()Initialize all transformer arguments, needing initialisation.
pairwise_operation(x, y)Calculate a pairwise kernel between two elements.
parse_input(X)Parse and check the given input for VH kernel.
set_params(**params)Call the parent method.
transform(X)Calculate the kernel matrix, between given and fitted dataset.
