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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