Method __init__

numpy_ml/utils/kernels.py:242–252

A class for initializing learning rate schedulers. Valid inputs are: (a) __str__ representations of `KernelBase` instances (b) `KernelBase` instances (c) Parameter dicts (e.g., as produced via the :meth:`summary` method in `KernelBase` ins

(self, param=None)

class KernelInitializer(object):
    def __init__(self, param=None):
        """
        A class for initializing learning rate schedulers. Valid inputs are:
            (a) __str__ representations of `KernelBase` instances
            (b) `KernelBase` instances
            (c) Parameter dicts (e.g., as produced via the :meth:`summary` method in
                `KernelBase` instances)

        If `param` is None, return `LinearKernel`.
        """
        self.param = param

    def __call__(self):
        param = self.param