def test_rprop_continue(): obj = LogisticRegression(n_inpt=2, n_classes=2) args = itertools.repeat(((obj.X, obj.Z), {})) opt = Rprop(obj.pars, obj.fprime, step_shrink=0.1, step_grow=1.2, min_step=1e-6, max_step=0.1, args=args) continuation(opt)
def test_rmsprop_continue(): obj = LogisticRegression(n_inpt=2, n_classes=2) args = itertools.repeat(((obj.X, obj.Z), {})) opt = RmsProp( obj.pars, obj.fprime, step_rate=0.01, momentum=.9, decay=0.9, args=args) continuation(opt)
def test_gd_continue(): obj = LogisticRegression(n_inpt=2, n_classes=2) args = itertools.repeat(((obj.X, obj.Z), {})) opt = GradientDescent( obj.pars, obj.fprime, step_rate=0.01, momentum=.9, momentum_type='nesterov', args=args) continuation(opt)
def test_gd_continue(): obj = LogisticRegression(n_inpt=2, n_classes=2) args = itertools.repeat(((obj.X, obj.Z), {})) opt = GradientDescent(obj.pars, obj.fprime, step_rate=0.01, momentum=.9, momentum_type='nesterov', args=args) continuation(opt)
def test_adadelta_continue(): obj = LogisticRegression(n_inpt=2, n_classes=2) args = itertools.repeat(((obj.X, obj.Z), {})) opt = Adadelta(obj.pars, obj.fprime, 0.9, args=args) continuation(opt)
def test_rmsprop_continue(): obj = LogisticRegression(n_inpt=2, n_classes=2) args = itertools.repeat(((obj.X, obj.Z), {})) opt = RmsProp(obj.pars, obj.fprime, step_rate=0.01, momentum=0.9, decay=0.9, args=args) continuation(opt)