These functions check whether the input is a one-hot matrix, i.e., a
numeric matrix where each row contains exactly one entry equal to 1 and
all other entries equal to 0.
Usage
check_one_hot_matrix(
x,
nrows = NULL,
ncols = NULL,
tolerance = sqrt(.Machine$double.eps)
)
assert_one_hot_matrix(
x,
nrows = NULL,
ncols = NULL,
tolerance = sqrt(.Machine$double.eps),
.var.name = checkmate::vname(x),
add = NULL
)
test_one_hot_matrix(
x,
nrows = NULL,
ncols = NULL,
tolerance = sqrt(.Machine$double.eps)
)Arguments
- x
[
any]
Object to check.- nrows
[
integer(1)]
Exact number of rows.- ncols
[
integer(1)]
Exact number of columns.- tolerance
[
numeric(1)]
A non-negative tolerance value.- .var.name
[
character(1)]
Name of the checked object to print in assertions. Defaults to the heuristic implemented invname.- add
[
AssertCollection]
Collection to store assertion messages. SeeAssertCollection.
Value
Same as documented in check_matrix.
See also
Other matrix helpers:
check_correlation_matrix(),
check_covariance_matrix(),
check_transition_probability_matrix(),
cov_to_chol(),
diff_cov(),
insert_matrix_column(),
matrix_diagonal_indices(),
matrix_indices(),
sample_correlation_matrix(),
sample_covariance_matrix(),
sample_transition_probability_matrix(),
stationary_distribution()
