Diffs

class pygam.callbacks.Diffs

Bases: CallBack

Differences Callback

Useful for capturing the differences in model coefficient norms between iterations

Parameters:

Methods

get_params([deep])	Returns a dict of all of the object's user-facing parameters.
on_loop_end(diff)	Runs the method at end of each optimization loop.
set_params([deep, force])	Sets an object's parameters.

get_params(deep=False)

Returns a dict of all of the object’s user-facing parameters.

Parameters:

deepboolean, default: False

when True, also gets non-user-facing parameters

Returns:

dict

on_loop_end(diff)

Runs the method at end of each optimization loop.

Parameters:

difffloat

Returns:

difffloat

set_params(deep=False, force=False, **parameters)

Sets an object’s parameters.

Parameters:

deepboolean, default: False

when True, also sets non-user-facing parameters

forceboolean, default: False

when True, also sets parameters that the object does not already have

**parametersparameters to set

Returns:

self