decision_width | R Documentation |
Parameters for the tabnet model
decision_width(range = c(8L, 64L), trans = NULL)
attention_width(range = c(8L, 64L), trans = NULL)
num_steps(range = c(3L, 10L), trans = NULL)
feature_reusage(range = c(1, 2), trans = NULL)
num_independent(range = c(1L, 5L), trans = NULL)
num_shared(range = c(1L, 5L), trans = NULL)
momentum(range = c(0.01, 0.4), trans = NULL)
mask_type(values = c("sparsemax", "entmax"))
range |
the default range for the parameter value |
trans |
whether to apply a transformation to the parameter |
values |
possible values for factor parameters These functions are used with |
A dials
parameter to be used when tuning TabNet models.
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