crumble (version 0.1.2)

crumble_control: Crumble control parameters

Description

Crumble control parameters

Usage

crumble_control(
  crossfit_folds = 10L,
  mlr3superlearner_folds = 10L,
  zprime_folds = 1L,
  epochs = 100L,
  learning_rate = 0.01,
  batch_size = 64,
  device = c("cpu", "cuda", "mps")
)

Value

A list of control parameters

Arguments

crossfit_folds

[numeric(1)]
The number of crossfit folds.

mlr3superlearner_folds

[numeric(1)]
The number of `mlr3superlearner` folds.

zprime_folds

[numeric(1)]
The number of folds to split that data into for calculating Z'. With larger sample sizes, a larger number will increase speed.

epochs

[numeric(1)]
The number of epochs to train the neural network.

learning_rate

[numeric(1)]
The learning rate for the neural network.

batch_size

[numeric(1)]
The batch size for mini-batch gradient descent.

device

[character(1)]
Object representing the device on which a torch_tensor is or will be allocated.

Examples

if (torch::torch_is_installed()) crumble_control(crossfit_folds = 5)