View source: R/time_series_tabular.R
TSDataTable | R Documentation |
A 'DataFrame' wrapper that knows which cols are x/y, and returns rows in '__getitem__'
TSDataTable(
df,
procs = NULL,
x_names = NULL,
y_names = NULL,
block_y = NULL,
splits = NULL,
do_setup = TRUE,
device = NULL,
inplace = FALSE
)
df |
A DataFrame of your data |
procs |
list of preprocess functions |
x_names |
predictors names |
y_names |
the names of the dependent variables |
block_y |
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 |
device name |
inplace |
If True, Tabular will not keep a separate copy of your original DataFrame in memory |
None
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