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because we aren’t perfect, each step that produces sparsity has a sparse argument. This argument defaults to "auto" but can be manually set to "yes" or "no" to always or never produce sparse data respectively.
all of this shouldn’t matter whether the tibble contains sparse vectors or not. as we will go off the sparsity. This sparsity is estimates based on the recipe.
ID
recipe produce sparsity
sparsity
model support
sparse args
1
yes
high
yes
auto
2
yes
high
yes
no
3
yes
high
yes
yes
4
yes
high
no
auto
5
yes
high
no
no
6
yes
high
no
yes
7
yes
low
yes
auto
8
yes
low
yes
no
9
yes
low
yes
yes
10
yes
low
no
auto
11
yes
low
no
no
12
yes
low
no
yes
13
no
high
yes
auto
14
no
high
yes
no
15
no
high
yes
yes
16
no
high
no
auto
17
no
high
no
no
18
no
high
no
yes
19
no
low
yes
auto
20
no
low
yes
no
21
no
low
yes
yes
22
no
low
no
auto
23
no
low
no
no
24
no
low
no
yes
recipe produce sparse means that it contains a recipe step with sparse argument.
sparsity means that there is a lot of sparsity in the data.
model support the parsnip model supports sparse data, e.i. allow_sparse_x = TRUE.
sparse args is what is specified in sparse arguments of steps.
What should happen if control arg is "auto" are listed below.
if the model doesn’t support sparsity, then don’t give it sparse data, and stop recipes from creating sparsity, regardless of how sparse the data is
if sparsity is high and the model supports it, give it sparse data
if sparsity is low and the model supports sparse data, don’t give it sparse data, and make sure that the recipe doesn’t produce sparse data
The text was updated successfully, but these errors were encountered:
because we aren’t perfect, each step that produces sparsity has a
sparseargument. This argument defaults to"auto"but can be manually set to"yes"or"no"to always or never produce sparse data respectively.all of this shouldn’t matter whether the tibble contains sparse vectors or not. as we will go off the sparsity. This sparsity is estimates based on the recipe.
recipe produce sparsemeans that it contains a recipe step withsparseargument.sparsitymeans that there is a lot of sparsity in the data.model supportthe parsnip model supports sparse data, e.i.allow_sparse_x = TRUE.sparse argsis what is specified insparsearguments of steps.What should happen if control arg is
"auto"are listed below.The text was updated successfully, but these errors were encountered: