get_pycox_activation {survivalmodels} | R Documentation |
Get Pytorch Activation Function
Description
Helper function to return a class or constructed object for
pytorch activation function from torch.nn.modules.activation
.
Usage
get_pycox_activation(
activation = "relu",
construct = TRUE,
alpha = 1,
dim = NULL,
lambd = 0.5,
min_val = -1,
max_val = 1,
negative_slope = 0.01,
num_parameters = 1L,
init = 0.25,
lower = 1/8,
upper = 1/3,
beta = 1,
threshold = 20,
value = 20
)
Arguments
activation |
|
construct |
|
alpha |
|
dim |
|
lambd |
|
min_val , max_val |
|
negative_slope |
|
num_parameters |
|
init |
|
lower , upper |
|
beta |
|
threshold |
|
value |
|
Details
Implemented methods (with help pages) are
-
"celu"
reticulate::py_help(torch$nn$modules$activation$CELU)
-
"elu"
reticulate::py_help(torch$nn$modules$activation$ELU)
-
"gelu"
reticulate::py_help(torch$nn$modules$activation$GELU)
-
"glu"
reticulate::py_help(torch$nn$modules$activation$GLU)
-
"hardshrink"
reticulate::py_help(torch$nn$modules$activation$Hardshrink)
-
"hardsigmoid"
reticulate::py_help(torch$nn$modules$activation$Hardsigmoid)
-
"hardswish"
reticulate::py_help(torch$nn$modules$activation$Hardswish)
-
"hardtanh"
reticulate::py_help(torch$nn$modules$activation$Hardtanh)
-
"relu6"
reticulate::py_help(torch$nn$modules$activation$ReLU6)
-
"leakyrelu"
reticulate::py_help(torch$nn$modules$activation$LeakyReLU)
-
"logsigmoid"
reticulate::py_help(torch$nn$modules$activation$LogSigmoid)
-
"logsoftmax"
reticulate::py_help(torch$nn$modules$activation$LogSoftmax)
-
"prelu"
reticulate::py_help(torch$nn$modules$activation$PReLU)
-
"rrelu"
reticulate::py_help(torch$nn$modules$activation$RReLU)
-
"relu"
reticulate::py_help(torch$nn$modules$activation$ReLU)
-
"selu"
reticulate::py_help(torch$nn$modules$activation$SELU)
-
"sigmoid"
reticulate::py_help(torch$nn$modules$activation$Sigmoid)
-
"softmax"
reticulate::py_help(torch$nn$modules$activation$Softmax)
-
"softmax2d"
reticulate::py_help(torch$nn$modules$activation$Softmax2d)
-
"softmin"
reticulate::py_help(torch$nn$modules$activation$Softmin)
-
"softplus"
reticulate::py_help(torch$nn$modules$activation$Softplus)
-
"softshrink"
reticulate::py_help(torch$nn$modules$activation$Softshrink)
-
"softsign"
reticulate::py_help(torch$nn$modules$activation$Softsign)
-
"tanh"
reticulate::py_help(torch$nn$modules$activation$Tanh)
-
"tanhshrink"
reticulate::py_help(torch$nn$modules$activation$Tanhshrink)
-
"threshold"
reticulate::py_help(torch$nn$modules$activation$Threshold)
Value
No return value.