colour.kernel_linear¶

colour.kernel_linear(x)[source]¶

Returns the linear kernel evaluated at given samples.

Parameters:	x (array_like) – Samples at which to evaluate the linear kernel.
Returns:	The linear kernel evaluated at given samples.
Return type:	ndarray

References

[BB09]

Examples

>>> kernel_linear(np.linspace(0, 1, 10))  # doctest: +ELLIPSIS
array([ 1.        ,  0.8888888...,  0.7777777...,  0.6666666...,  0.5555555...,
        0.4444444...,  0.3333333...,  0.2222222...,  0.1111111...,  0.        ])