sksurv.kernels.clinical_kernel#

sksurv.kernels.clinical_kernel(x, y=None)[source]#

Computes clinical kernel

The clinical kernel distinguishes between continuous ordinal,and nominal variables.

See [1] for further description.

Parameters:

  • x (pandas.DataFrame, shape = (n_samples_x, n_features)) – Training data

  • y (pandas.DataFrame, shape = (n_samples_y, n_features)) – Testing data

Returns:

kernel – Kernel matrix. Values are normalized to lie within [0, 1].

Return type:

array, shape = (n_samples_x, n_samples_y)

References