TabularDataTable | R Documentation |
A 'Tabular' object with transforms
TabularDataTable(
df,
procs = NULL,
cat_names = NULL,
cont_names = NULL,
y_names = NULL,
y_block = NULL,
splits = NULL,
do_setup = TRUE,
device = NULL,
inplace = FALSE,
reduce_memory = TRUE,
...
)
df |
A DataFrame of your data |
procs |
list of preprocess functions |
cat_names |
the names of the categorical variables |
cont_names |
the names of the continuous variables |
y_names |
the names of the dependent variables |
y_block |
the TransformBlock to use for the target |
splits |
How to split your data |
do_setup |
A parameter for if Tabular will run the data through the procs upon initialization |
device |
cuda or cpu |
inplace |
If True, Tabular will not keep a separate copy of your original DataFrame in memory |
reduce_memory |
fastai will attempt to reduce the overall memory usage |
... |
additional parameters to pass |
None
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