brainpy.nn.algorithms.RidgeRegression
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.
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