Accuracy

class pygam.callbacks.Accuracy

Bases: CallBack

Accuracy CallBack

Useful for capturing the accuracy of a model on training data at each iteration

Parameters:

Methods

get_params([deep])	Returns a dict of all of the object's user-facing parameters.
on_loop_start(y, mu)	Runs the method at start 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_start(y, mu)

Runs the method at start of each optimization loop.

Parameters:

yarray-like of length n

target data

muarray-like of length n

expected value data

Returns:

accuracynp.array of length n

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