brainpy.nn.algorithms.RidgeRegression#

class brainpy.nn.algorithms.RidgeRegression(beta=1e-07, name=None)[source]#

Training algorithm of ridge regression.

Parameters

beta (float) – The regularization coefficient.

__init__(beta=1e-07, name=None)[source]#

Methods

__init__([beta, name])

load_states(filename[, verbose])

Load the model states.

nodes([method, level, include_self])

Collect all children nodes.

register_implicit_nodes(nodes)

register_implicit_vars(variables)

save_states(filename[, variables])

Save the model states.

train_vars([method, level, include_self])

The shortcut for retrieving all trainable variables.

unique_name([name, type_])

Get the unique name for this object.

vars([method, level, include_self])

Collect all variables in this node and the children nodes.

Attributes

name