Wraps a DataBackend around data.
# S3 method for data.frame
as_data_backend(data, primary_key = NULL, keep_rownames = FALSE, ...)# S3 method for Matrix
as_data_backend(data, primary_key = NULL, dense = NULL, ...)
as_data_backend(data, primary_key = NULL, ...)
any
Data to create a DataBackend from.
For a data.frame()
(this includes tibble()
from tibble and data.table::data.table()
),
a DataBackendDataTable is created.
See methods("as_data_backend")
for possible input formats.
Package mlr3db extends this function with a method for lazy table objects implemented in dbplyr. This allows to interface many different data base systems such as SQL servers.
(character(1)
| integer()
)
Name of the primary key column, or integer vector of row ids.
(logical(1)
| character(1)
)
If TRUE
or a single string, keeps the row names of data
as a new column.
The column is named like the provided string, defaulting to "..rownames"
for keep_rownames == TRUE
.
Note that the created column will be used as a regular feature by the task unless you manually change the column role.
Also see data.table::as.data.table()
.
(any
)
Additional arguments passed to the respective DataBackend method.
(data.frame()
).
Dense data.
Other DataBackend:
DataBackendDataTable
,
DataBackendMatrix
,
DataBackend
# NOT RUN {
# create a new backend using the iris data:
as_data_backend(iris)
# }
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