create.sgldata {sglOptim} | R Documentation |
Creates a sgldata object from a design matrix and an optional response vector or matrix.
create.sgldata(x, y, response_dimension = .get_response_dimension(y), response_names = .get_response_names(y), sparseX = is(x, "sparseMatrix"), sparseY = is(y, "sparseMatrix"), typeX = element_class(x), typeY = element_class(y))
x |
the design matrix, a matrix of size N \times p (will be parsed to the loss module as |
y |
the responses, |
response_dimension |
number of models, that is the dimension of the returned response. |
response_names |
names of models, that is the names of the elements of the returned response. |
sparseX |
if TRUE |
sparseY |
if TRUE |
typeX |
type of the elements of x. |
typeY |
type of the elements of y. |
Martin Vincent
Other sgldata: add_data.sgldata
,
prepare.args.sgldata
,
prepare.args
, prepare_data
,
rearrange.sgldata
,
subsample.sgldata