本文整理汇总了Python中utils.norm_geometric_average函数的典型用法代码示例。如果您正苦于以下问题：Python norm_geometric_average函数的具体用法？Python norm_geometric_average怎么用？Python norm_geometric_average使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了norm_geometric_average函数的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: geomav
def geomav(x, **kwargs):
if len(x) == 0:
return np.zeros(600)
res = np.cumsum(utils.norm_geometric_average(utils.cdf_to_pdf(x)))
return res示例2: build_objective
}
# Objective
l2_weight = 0.000
l2_weight_out = 0.000
def build_objective(interface_layers):
# l2 regu on certain layers
l2_penalty = nn.regularization.regularize_layer_params_weighted(
interface_layers["regularizable"], nn.regularization.l2)
# build objective
return objectives.KaggleObjective(interface_layers["outputs"], penalty=l2_penalty)
# Testing
postprocess = postprocess.postprocess
test_time_augmentations = 100 # More augmentations since a we only use single slices
tta_average_method = lambda x: np.cumsum(utils.norm_geometric_average(utils.cdf_to_pdf(x)))
# nonlinearity putting a lower bound on it's output
def lb_softplus(lb):
return lambda x: nn.nonlinearities.softplus(x) + lb
init = nn.init.Orthogonal()
rnn_layer = functools.partial(nn.layers.RecurrentLayer,
W_in_to_hid=init,
W_hid_to_hid=init,
b=nn.init.Constant(0.1),
nonlinearity=nn.nonlinearities.rectify,
hid_init=nn.init.Constant(0.),