mlr_pipeops_nn_selu function

SELU Activation Function

Applies element-wise, [REMOVE_ME]$SELU(x) = scale * (max(0,x) + min(0, \alpha * (exp(x) - 1))) [REMOVE_ME_2]$, with $\alpha=1.6732632423543772848170429916717$ and $scale=1.0507009873554804934193349852946$.

Description

Applies element-wise,

$$SELU(x) = scale * (max(0,x) + min(0, \alpha * (exp(x) - 1)))$$

, with $\alpha=1.6732632423543772848170429916717$ and $scale=1.0507009873554804934193349852946$.

nn_module

Calls torch::nn_selu() when trained.

Parameters

• inplace :: logical(1)

  Whether to do the operation in-place. Default: FALSE.

Input and Output Channels

One input channel called "input" and one output channel called "output". For an explanation see PipeOpTorch.

State

The state is the value calculated by the public method $shapes_out().

Examples

# Construct the PipeOp
pipeop = po("nn_selu")
pipeop
# The available parameters
pipeop$param_set

See Also

Other PipeOps: mlr_pipeops_nn_adaptive_avg_pool1d, mlr_pipeops_nn_adaptive_avg_pool2d, mlr_pipeops_nn_adaptive_avg_pool3d, mlr_pipeops_nn_avg_pool1d, mlr_pipeops_nn_avg_pool2d, mlr_pipeops_nn_avg_pool3d, mlr_pipeops_nn_batch_norm1d, mlr_pipeops_nn_batch_norm2d, mlr_pipeops_nn_batch_norm3d, mlr_pipeops_nn_block, mlr_pipeops_nn_celu, mlr_pipeops_nn_conv1d, mlr_pipeops_nn_conv2d, mlr_pipeops_nn_conv3d, mlr_pipeops_nn_conv_transpose1d, mlr_pipeops_nn_conv_transpose2d, mlr_pipeops_nn_conv_transpose3d, mlr_pipeops_nn_dropout, mlr_pipeops_nn_elu, mlr_pipeops_nn_flatten, mlr_pipeops_nn_gelu, mlr_pipeops_nn_glu, mlr_pipeops_nn_hardshrink, mlr_pipeops_nn_hardsigmoid, mlr_pipeops_nn_hardtanh, mlr_pipeops_nn_head, mlr_pipeops_nn_layer_norm, mlr_pipeops_nn_leaky_relu, mlr_pipeops_nn_linear, mlr_pipeops_nn_log_sigmoid, mlr_pipeops_nn_max_pool1d, mlr_pipeops_nn_max_pool2d, mlr_pipeops_nn_max_pool3d, mlr_pipeops_nn_merge, mlr_pipeops_nn_merge_cat, mlr_pipeops_nn_merge_prod, mlr_pipeops_nn_merge_sum, mlr_pipeops_nn_prelu, mlr_pipeops_nn_relu, mlr_pipeops_nn_relu6, mlr_pipeops_nn_reshape, mlr_pipeops_nn_rrelu, mlr_pipeops_nn_sigmoid, mlr_pipeops_nn_softmax, mlr_pipeops_nn_softplus, mlr_pipeops_nn_softshrink, mlr_pipeops_nn_softsign, mlr_pipeops_nn_squeeze, mlr_pipeops_nn_tanh, mlr_pipeops_nn_tanhshrink, mlr_pipeops_nn_threshold, mlr_pipeops_nn_unsqueeze, mlr_pipeops_torch_ingress, mlr_pipeops_torch_ingress_categ, mlr_pipeops_torch_ingress_ltnsr, mlr_pipeops_torch_ingress_num, mlr_pipeops_torch_loss, mlr_pipeops_torch_model, mlr_pipeops_torch_model_classif, mlr_pipeops_torch_model_regr

Super classes

mlr3pipelines::PipeOp -> mlr3torch::PipeOpTorch -> PipeOpTorchSELU

Methods

Public methods

• list("PipeOpTorchSELU$new()")

• list("PipeOpTorchSELU$clone()")

Method new()

Creates a new instance of this R6 class.

Usage

PipeOpTorchSELU$new(id = "nn_selu", param_vals = list())

Arguments

• id: (character(1))

   Identifier of the resulting object.
  

• param_vals: (list())

   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction.
  

Method clone()

The objects of this class are cloneable with this method.

Usage

PipeOpTorchSELU$clone(deep = FALSE)

Arguments

• deep: Whether to make a deep clone.